Qualifications

• This remote role requires 5+ years of experience in backend systems with strong TypeScript and Node.js expertise

• Ideal candidates should feel comfortable in high-ambiguity environments and possess a strong ownership mindset

Benefits

• The company offers a competitive salary ranging from $250,000 to $315,000, along with token-based incentives and performance bonuses

Responsibilities

• You will be responsible for leading the development of core systems, automation engines, and data infrastructural aspects

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Job description

A leading technology consulting firm is seeking a Lead Engineer to architect AI-powered governance systems within a DeFi platform. This remote role requires 5+ years of experience in backend systems with strong TypeScript and Node.js expertise. You will be responsible for leading the development of core systems, automation engines, and data infrastructural aspects. The company offers a competitive... salary ranging from $250,000 to $315,000, along with token-based incentives and performance bonuses. Ideal candidates should feel comfortable in high-ambiguity environments and possess a strong ownership mindset.

#J-18808-Ljbffr C&D Talent Advisory

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Qualifications

• High School Diploma or equivalent

• Currently pursuing a degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related field, or equivalent practical experience

• Foundational understanding of software development concepts (through coursework, projects, or prior internships)

• Familiarity with APIs and service‑based architecture, headless design, microservices, etc

• Exposure to source control and collaborative development practices (e.g., Git/GitHub)

• Strong interest in artificial intelligence, including large language models and applied AI systems

• Curiosity and willingness to experiment with different AI approaches, tools, and architectures

• Familiarity with or interest in cloud platforms, particularly Microsoft Azure

• Ability to learn new technologies quickly in an evolving technical environment

• Strong analytical, problem‑solving, and documentation skills

• Ability to communicate effectively with both technical and non‑technical team members

• Ability to work effectively in a team environment with guidance and mentorship

• Academic, personal, or internship experience working on software or technical projects

• Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local Fair Chance laws and regulations

• A conditional offer of employment from Tandem is contingent upon successful completion of a pre-employment screening process comprised of a drug test (excluding marijuana) and background check, which includes a review of criminal history information

• Tandem has good cause to conduct a review of criminal history information of candidates for this position, as this role may involve access to proprietary, sensitive and/or confidential information, including customer protected health information

• This review is required to ensure that individuals in such roles uphold high standards of trust and integrity so as to protect the interests of our customers, employees, and stakeholders

• SPONSORSHIP: Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time

• 15 more items(s)

Benefits

• The starting base pay range for this position is $25.00 - $34.00 hour

• Base pay will vary based on job-related knowledge, skills, experience and may also fluctuate depending on candidate’s location and the overall job market

• Access to Tandem sponsored benefits is contingent upon conversion from temporary to regular full-time status

Responsibilities

• Working under the guidance of experienced engineers, this role will contribute to initiatives aligned with Tandem’s emerging AI Center of Excellence, helping evaluate how AI technologies can support internal teams, software development workflows, and business operations

• Project focus areas may evolve over the course of the internship based on business needs, technical discoveries, and learning objectives

• The AI Solutions Intern at Tandem is also responsible for:

• Assist in the design, development, and evaluation of AI‑focused proof‑of‑concept solutions

• Contribute to software components, services, or integrations supporting AI experimentation

• Assist with integrating internal systems, APIs, and data sources to enable AI‑driven workflows

• Support the evaluation and comparison of AI models and services available within Microsoft Azure, including models beyond OpenAI‑based offerings

• Contribute to internal documentation, diagrams, and technical notes capturing findings, architecture options, and lessons learned

• Participate in experimentation related to prompt design, AI behavior evaluation, and response quality analysis

• Contribute to internal documentation, diagrams, and technical notes capturing findings, architecture options, and lessons learned

• Collaborate with the Enterprise Software team using standard development workflows and tooling (e.g., GitHub, issue tracking, code reviews)

• Participate in team meetings, design discussions, and agile ceremonies as appropriate

• Ensure assigned work follows company policies, including Privacy/HIPAA, security, and regulatory requirements

• AI capabilities that support software development or IT operations

• Internal AI assistants that surface company policies, learning content, or product information

• Integration or extension of existing internal tools, such as Tandem’s EAK support bot

• Exploration of agent‑based or orchestrated AI architectures composed of specialized AI agents

• This position will work Monday - Friday

• 15 more items(s)

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Job description

GROW WITH US:

Tandem Diabetes Care creates new possibilities for people living with diabetes, their loved ones, and their healthcare providers through a positively different experience. We’d love for you to team up with us to “innovate every day,” put “people first,” and take the “no-shortcuts” approach that has propelled us to become a leader in the diabetes technology industry.

STAY AWESOME:

Ta...ndem Diabetes Care is proud to manufacture and sell the Tandem Mobi system and t:slim X2 insulin pump with Control-IQ+ technology — an advanced predictive algorithm that automates insulin delivery. But we’re so much more than that. Our company’s human-centered approach to design, development, and support delivers innovative products and services for people who use insulin. Because many of our own team members live with diabetes, or have a loved one impacted by diabetes, the work is personal, and we are committed to the cause. Learn more at tandemdiabetes.com

A DAY IN THE LIFE:

The AI Solutions Intern will support the IT Platforms Enterprise Software team in the exploration, design, and development of artificial intelligence proof of concept solutions. This internship is a short term, full time learning opportunity focused on experimentation, applied AI use cases, and modern enterprise software development practices. Working under the guidance of experienced engineers, this role will contribute to initiatives aligned with Tandem’s emerging AI Center of Excellence, helping evaluate how AI technologies can support internal teams, software development workflows, and business operations. Project focus areas may evolve over the course of the internship based on business needs, technical discoveries, and learning objectives.

The AI Solutions Intern at Tandem is also responsible for:

• Assist in the design, development, and evaluation of AI‑focused proof‑of‑concept solutions.

• Contribute to software components, services, or integrations supporting AI experimentation.

• Assist with integrating internal systems, APIs, and data sources to enable AI‑driven workflows.

• Support the evaluation and comparison of AI models and services available within Microsoft Azure, including models beyond OpenAI‑based offerings.

• Contribute to internal documentation, diagrams, and technical notes capturing findings, architecture options, and lessons learned.

• Participate in experimentation related to prompt design, AI behavior evaluation, and response quality analysis.

• Contribute to internal documentation, diagrams, and technical notes capturing findings, architecture options, and lessons learned.

• Collaborate with the Enterprise Software team using standard development workflows and tooling (e.g., GitHub, issue tracking, code reviews).

• Participate in team meetings, design discussions, and agile ceremonies as appropriate.

• Ensure assigned work follows company policies, including Privacy/HIPAA, security, and regulatory requirements.

• AI capabilities that support software development or IT operations

• Internal AI assistants that surface company policies, learning content, or product information

• Integration or extension of existing internal tools, such as Tandem’s EAK support bot

• Exploration of agent‑based or orchestrated AI architectures composed of specialized AI agents

WHEN & WHERE YOU’LL WORK:

This role is on-site at our Del Mar (HQ) office due to the nature of the work involved. This position will work Monday - Friday.

WHAT YOU’LL NEED:

• High School Diploma or equivalent.

• Currently pursuing a degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related field, or equivalent practical experience.

• Foundational understanding of software development concepts (through coursework, projects, or prior internships).

• Familiarity with APIs and service‑based architecture, headless design, microservices, etc.

• Exposure to source control and collaborative development practices (e.g., Git/GitHub).

• Strong interest in artificial intelligence, including large language models and applied AI systems.

• Curiosity and willingness to experiment with different AI approaches, tools, and architectures.

• Familiarity with or interest in cloud platforms, particularly Microsoft Azure.

• Ability to learn new technologies quickly in an evolving technical environment.

• Strong analytical, problem‑solving, and documentation skills.

• Ability to communicate effectively with both technical and non‑technical team members.

• Ability to work effectively in a team environment with guidance and mentorship.

• Academic, personal, or internship experience working on software or technical projects.

EXTRA AWESOME:

• Prior experience with AI, cloud services, or automation preferred, but not required.

COMPENSATION & BENEFITS:

The starting base pay range for this position is $25.00 - $34.00 hour. Base pay will vary based on job-related knowledge, skills, experience and may also fluctuate depending on candidate’s location and the overall job market.

Please note that is a temporary position. As a temporary employee you will be employed through a staff agency partner. Benefits during your temporary assignment may be provided by the staffing agency. Access to Tandem sponsored benefits is contingent upon conversion from temporary to regular full-time status. Conversion is determined based upon business need and job performance.

YOU SHOULD KNOW:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local Fair Chance laws and regulations. A conditional offer of employment from Tandem is contingent upon successful completion of a pre-employment screening process comprised of a drug test (excluding marijuana) and background check, which includes a review of criminal history information.

Tandem has good cause to conduct a review of criminal history information of candidates for this position, as this role may involve access to proprietary, sensitive and/or confidential information, including customer protected health information. This review is required to ensure that individuals in such roles uphold high standards of trust and integrity so as to protect the interests of our customers, employees, and stakeholders.

SPONSORSHIP: Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

WHY YOU’LL LOVE WORKING HERE:

At Tandem, we believe joy fuels excellence. That's why we've built a workplace that celebrates your achievements and supports your well-being. Our team thrives on pushing boundaries and fostering growth, all while maintaining a spirit of fun and camaraderie. This is just one of the ways we stay awesome! Explore the benefits and reasons to love Tandem at https://www.tandemdiabetes.com/careers.

BE YOU, WITH US!

We embrace the value that every single one of us brings to the table. But sometimes we forget that when we don’t meet 100% of a job description’s criteria – maybe you’re feeling that way right now? We encourage you to apply anyway. Because we want you to be you, with us.

Tandem is firmly committed to being an equal opportunity employer and does not discriminate on the basis of age, disability, sex, race, religion or belief, gender identity or expression, marriage/civil partnership, pregnancy/maternity, or sexual orientation. We are an inclusive organization, and we welcome applications from a wide range of candidates. Selection for roles will be based on individual merit alone.

REFERRALS:

We love a good referral! If you know someone who would be a great fit for this position, please share!

APPLICATION DEADLINE:

The position will be posted until a final candidate is selected for the requisition or the requisition has a sufficient number of applications.

Make a move that matters. Join Tandem Diabetes Care, where we're turning challenges into triumphs every day and where your talents will help shape a healthier, happier tomorrow.

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Qualifications

• Experience with AI agents, machine learning, or advanced analytics in security or adjacent domains

• Experience in security technology, security engineering, or security operations

• Strong understanding of enterprise physical security systems and security operations workflows

• Demonstrated experience applying AI, automation, or advanced analytics to operational problems

• Ability to translate security risk and operational needs into technical and automated solutions

• 2 more items(s)

Benefits

• $143,000.00 - $303,000.00 a year

• Additional compensation may include benefits, bonuses and equity

• Our salary ranges are determined by role, level, and location

• The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations

• Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training

• The pay scale is subject to change depending on business needs

• Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits

• As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future

• We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget

• Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave

• Additionally, Micron benefits include a robust paid time-off program and paid holidays

• For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits

• 9 more items(s)

Responsibilities

• This role is responsible for re‑architecting Physical Security, SOC/GSOC Operations, Threat Intelligence, and Insider Risk programs to reduce manual workload, improve risk identification, and enable faster, more accurate security decision‑making

• This position is not dedicated to tool maintenance or incremental improvement; it is chartered to fundamentally redesign how security work is performed

• Security Transformation Driven by Technology - Build and complete a multi‑year roadmap to transform Physical Security, SOC/GSOC Operations, Threat Intelligence, and Insider Risk programs into technology‑enhanced, intelligence‑led capabilities

• Redesign security operations around AI agents and automation, shifting from reactive, manual processes to scalable, machine‑assisted workflows

• AI Agent Automation & Workload Reduction - Identify security tasks suitable for AI agent automation or AI‑assisted execution, including triage, enrichment, correlation, and investigation preparation

• Deploy AI agents to reduce workload and cognitive burden

• Ensure security teams focus on judgment, risk decisions, and response strategy rather than routine processing

• Risk Identification & Predictive Security - Implement AI‑based analytics and agents that continuously identify and prioritize risk across physical, intelligence, and insider domains

• Shift operations from rule‑based alerting to risk‑based assessment and prioritization

• Enable earlier detection of emerging threats through multi-signal correlation and insights powered by advanced technology

• Converged Security Architecture - Define the target‑state AI and data architecture supporting converged security operations

• Ensure physical security systems, SOC tooling, intelligence platforms, and insider risk capabilities operate as a unified, AI‑supported ecosystem

• Execution & Outcomes - Lead AI initiatives from concept through production and enterprise scale

• Define and track success metrics tied to workload reduction, detection accuracy, response speed, and risk visibility

• Reduce reliance on legacy tools and manual workflows as AI‑driven capabilities mature

• 12 more items(s)

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Job description

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

We are seeking a Security Technologist and AI Transformation Leader to modernize and transform e...nterprise security programs through the application of artificial intelligence, automation, and AI agents.

This role is responsible for re‑architecting Physical Security, SOC/GSOC Operations, Threat Intelligence, and Insider Risk programs to reduce manual workload, improve risk identification, and enable faster, more accurate security decision‑making. The ideal candidate combines strong security technology fundamentals with deep understanding of AI‑enabled operational transformation.

This position is not dedicated to tool maintenance or incremental improvement; it is chartered to fundamentally redesign how security work is performed.

Responsibilities:

• Security Transformation Driven by Technology - Build and complete a multi‑year roadmap to transform Physical Security, SOC/GSOC Operations, Threat Intelligence, and Insider Risk programs into technology‑enhanced, intelligence‑led capabilities. Redesign security operations around AI agents and automation, shifting from reactive, manual processes to scalable, machine‑assisted workflows.

• AI Agent Automation & Workload Reduction - Identify security tasks suitable for AI agent automation or AI‑assisted execution, including triage, enrichment, correlation, and investigation preparation. Deploy AI agents to reduce workload and cognitive burden. Ensure security teams focus on judgment, risk decisions, and response strategy rather than routine processing.

• Risk Identification & Predictive Security - Implement AI‑based analytics and agents that continuously identify and prioritize risk across physical, intelligence, and insider domains. Shift operations from rule‑based alerting to risk‑based assessment and prioritization. Enable earlier detection of emerging threats through multi-signal correlation and insights powered by advanced technology.

• Converged Security Architecture - Define the target‑state AI and data architecture supporting converged security operations. Ensure physical security systems, SOC tooling, intelligence platforms, and insider risk capabilities operate as a unified, AI‑supported ecosystem.

• Execution & Outcomes - Lead AI initiatives from concept through production and enterprise scale. Define and track success metrics tied to workload reduction, detection accuracy, response speed, and risk visibility. Reduce reliance on legacy tools and manual workflows as AI‑driven capabilities mature.

Minimum Qualifications:

• Experience with AI agents, machine learning, or advanced analytics in security or adjacent domains.

• Experience in security technology, security engineering, or security operations.

• Strong understanding of enterprise physical security systems and security operations workflows.

• Demonstrated experience applying AI, automation, or advanced analytics to operational problems.

• Ability to translate security risk and operational needs into technical and automated solutions.

Preferred Qualifications:

• Experience with converged security or fusion‑center‑style operations.

• Knowledge of security risk frameworks and governance models.

• Relevant certifications or advanced education in security, technology, or AI‑related fields.

The US base salary range that Micron Technology estimates it could pay for this full-time position is:

$143,000.00 - $303,000.00 a year

Additional compensation may include benefits, bonuses and equity.

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

To learn more about Micron, please visit micron.com/careers

US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

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Qualifications

• Junior or Senior year studying marketing

• Strong foundation in marketing operations and content workflows, familiarity with AI-enabled tools

• Experience with platforms like Adobe (Firefly, Creative Cloud, Express) or similar marketing technology

• Basic knowledge of video, campaign, or enablement use cases

• Strong written communication, analytical thinking, and the ability to evaluate tools cross-functionally, balancing speed, brand governance, and business impact

• Must be able to commit minimum 20 – 28 hours per week during the school year

• Up to 40 hours during summer break

• 4 more items(s)

Benefits

• Intern pay range for students pursuing a Bachelor's degree: $26.00 - 30.00 per hour

• Mentorship and development

• Exposure to real-world projects and cutting-edge technologies

• Networking opportunities within the organization

• 1 more items(s)

Responsibilities

• This project focuses on evaluating and piloting an AI‑enabled marketing video automation workflow to help teams create more customer‑facing video—faster, more consistently, and within defined brand standards

• The intern will support the assessment of enterprise‑grade AI video capabilities that turn approved marketing and technical materials—such as white papers, product specs, diagrams, slide content, and webinar recordings—into repeatable, on‑brand videos

• The operating model centers on a designer‑to‑marketer handoff: designers establish templates, brand guardrails, and visual assets, while marketers use the tool to produce videos at scale

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Job description

About Us:

Join AMETEK Programmable Power, a leader in cutting-edge programmable power solutions and systems. We specialize in designing and delivering precision AC and DC programmable power supplies, electronic loads, power subsystems, and compliance test solutions. If you're ready to work at the forefront of differentiated power technologies, this is your opportunity to make an impact in a fast-...paced, high-tech environment!

This is an onsite position in San Diego, CA. It is a year-round internship with an expectation of 20–28 hours per week during the school year and the opportunity to work full-time during academic breaks.

Summary:

This project focuses on evaluating and piloting an AI‑enabled marketing video automation workflow to help teams create more customer‑facing video—faster, more consistently, and within defined brand standards.

The intern will support the assessment of enterprise‑grade AI video capabilities that turn approved marketing and technical materials—such as white papers, product specs, diagrams, slide content, and webinar recordings—into repeatable, on‑brand videos. The operating model centers on a designer‑to‑marketer handoff: designers establish templates, brand guardrails, and visual assets, while marketers use the tool to produce videos at scale.

Requirements:

• Junior or Senior year studying marketing

• Strong foundation in marketing operations and content workflows, familiarity with AI-enabled tools

• Experience with platforms like Adobe (Firefly, Creative Cloud, Express) or similar marketing technology

• Basic knowledge of video, campaign, or enablement use cases

• Strong written communication, analytical thinking, and the ability to evaluate tools cross-functionally, balancing speed, brand governance, and business impact

• Must be able to commit minimum 20 – 28 hours per week during the school year. Up to 40 hours during summer break

What We Offer:

• Intern pay range for students pursuing a Bachelor's degree: $26.00 - 30.00 per hour

• Mentorship and development

• Exposure to real-world projects and cutting-edge technologies

• Networking opportunities within the organization

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Qualifications

• Bachelor’s degree or equivalent practical experience

• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree

• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)

• Experience in application security patterns including web application security, service mesh, and mobile security

• Experience in Generative AI tools, and AI content safety, security risks and user harm

• 2 more items(s)

Benefits

• The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits

• Our salary ranges are determined by role, level, and location

• Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training

• Your recruiter can share more about the specific salary range for your preferred location during the hiring process

• Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits

• 2 more items(s)

Responsibilities

• Write product or system development code

• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)

• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality

• Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing

• Prototype, evaluate, and productize Search’s framework in the context of Search’s AI mode and future agentic AI products

• 2 more items(s)

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Job description

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Chicago, IL, USA; Cambridge, MA, USA.Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degre...e.

• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

• Experience in application security patterns including web application security, service mesh, and mobile security.

• Experience in Generative AI tools, and AI content safety, security risks and user harm.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.

• 2 years of experience with data structures and algorithms.

• Experience developing accessible technologies.

About The Job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Write product or system development code.

• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)

• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

• Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

• Prototype, evaluate, and productize Search’s framework in the context of Search’s AI mode and future agentic AI products.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

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Qualifications

• Strong proficiency in Python, with hands-on experience building AI services and orchestration layers using FastAPI or similar modern Python frameworks

• Hands-on experience designing and implementing Generative AI and Agentic AI solutions, including multi-step reasoning workflows, tool-based agents, and agent-to-agent communication patterns

• Deep experience with Retrieval-Augmented Generation (RAG) architectures, including semantic search, embeddings, vector databases, and chunking/indexing strategies for enterprise content

• Proficiency with Python-based GenAI frameworks such as LangChain, LlamaIndex, or equivalent orchestration frameworks

• Experience working with large-scale structured and unstructured data, including data preparation, transformation, and evaluation

• Strong understanding of AI safety, governance, guardrails, and hallucination mitigation techniques

• Experience designing API-driven, cloud-agnostic architectures for AI systems, including familiarity with MCP and integration patterns

• Working knowledge of modern front-end frameworks (Angular or React) to support demo-ready user experiences

• Familiarity with SQL and NoSQL data stores

• Awareness of containerization and cloud platforms (Azure and/or AWS) at a design and architecture level to support downstream handoff

• Able to rapidly learn new domains and context switch across problem spaces

• Strong problem-solving and analytical thinking skills

• Effective collaborator with distributed and offshore teams

• Master's degree in computer science, Data Science, Engineering, or bachelor's degree with equivalent experience

• 10+ years of experience in Solutions Architecture, Full Stack Engineering, GenAI/Agentic AI, Data Science, AI/ML, or Applied AI Engineering

• Proven experience leading complex AI initiatives and mentoring others

• Willingness to complete internal GenAI platform training and certification

• 14 more items(s)

Benefits

• $128,900.00 - $226,050.00 USD

• This role is eligible for Bonus

• Compensation range listed is based on primary location of the position

• Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location

• Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave

• 2 more items(s)

Responsibilities

• It demands close collaboration with product and engineering teams, as well as providing technical guidance across incubation projects

• This role is ideal for a builder-thinker who thrives in ambiguity, can rapidly learn new business domains, and enjoys turning complex workflows and user problems into demo-ready, production-minded AI solutions

• The role focuses on proof-of-concept development, architectural guidance, and effective handoff to Product Engineering teams

• Partner with Product Leads and Product Managers to understand workflows, user needs, and business problems across multiple product areas

• Apply design thinking and Lean UX principles to identify AI-first opportunities that create customer and business value

• Design, prototype, and validate Generative AI and Agentic AI solutions through rapid proof-of-concept development

• Build demo-ready prototypes using Python for AI workflows and Angular or React for user-facing experiences

• Design reference architecture and technical guidance to enable effective handoff to Product Engineering teams

• Provide technical direction and mentorship to junior or offshore team members as needed

• Collaborate closely with UX Design, UX Research, Engineering, and other cross-functional stakeholders

• Present, demo, and communicate AI concepts and solutions to senior leaders and customers

• Technical Skills & Platform Expertise

• Comfortable working in high-ambiguity, fast-moving incubation environments

• Confident engaging with senior executives and customers

• 11 more items(s)

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Job description

Lead AI Solutions Architect - Full Stack (Incubation Team)

We are seeking a Lead AI Solutions Architect - Full Stack to join our Incubation Team, where we explore, prototype, and validate next-generation Generative AI (GenAI) and Agentic AI solutions. This position is a hands-on leadership role requiring practical expertise in Agentic AI, data science, engineering, and solution architecture. It d...emands close collaboration with product and engineering teams, as well as providing technical guidance across incubation projects.

This role is ideal for a builder-thinker who thrives in ambiguity, can rapidly learn new business domains, and enjoys turning complex workflows and user problems into demo-ready, production-minded AI solutions. The role focuses on proof-of-concept development, architectural guidance, and effective handoff to Product Engineering teams.

Key Responsibilities:

• Partner with Product Leads and Product Managers to understand workflows, user needs, and business problems across multiple product areas.

• Apply design thinking and Lean UX principles to identify AI-first opportunities that create customer and business value.

• Design, prototype, and validate Generative AI and Agentic AI solutions through rapid proof-of-concept development.

• Build demo-ready prototypes using Python for AI workflows and Angular or React for user-facing experiences.

• Design reference architecture and technical guidance to enable effective handoff to Product Engineering teams.

• Provide technical direction and mentorship to junior or offshore team members as needed.

• Collaborate closely with UX Design, UX Research, Engineering, and other cross-functional stakeholders.

• Present, demo, and communicate AI concepts and solutions to senior leaders and customers.

Technical Skills & Platform Expertise

• Strong proficiency in Python, with hands-on experience building AI services and orchestration layers using FastAPI or similar modern Python frameworks.

• Hands-on experience designing and implementing Generative AI and Agentic AI solutions, including multi-step reasoning workflows, tool-based agents, and agent-to-agent communication patterns.

• Deep experience with Retrieval-Augmented Generation (RAG) architectures, including semantic search, embeddings, vector databases, and chunking/indexing strategies for enterprise content.

• Proficiency with Python-based GenAI frameworks such as LangChain, LlamaIndex, or equivalent orchestration frameworks.

• Experience working with large-scale structured and unstructured data, including data preparation, transformation, and evaluation.

• Strong understanding of AI safety, governance, guardrails, and hallucination mitigation techniques.

• Experience designing API-driven, cloud-agnostic architectures for AI systems, including familiarity with MCP and integration patterns.

• Working knowledge of modern front-end frameworks (Angular or React) to support demo-ready user experiences.

• Familiarity with SQL and NoSQL data stores.

• Awareness of containerization and cloud platforms (Azure and/or AWS) at a design and architecture level to support downstream handoff.

Ways of Working

• Comfortable working in high-ambiguity, fast-moving incubation environments.

• Able to rapidly learn new domains and context switch across problem spaces.

• Strong problem-solving and analytical thinking skills.

• Effective collaborator with distributed and offshore teams.

• Confident engaging with senior executives and customers.

Qualifications:

• Master's degree in computer science, Data Science, Engineering, or bachelor's degree with equivalent experience.

• 10+ years of experience in Solutions Architecture, Full Stack Engineering, GenAI/Agentic AI, Data Science, AI/ML, or Applied AI Engineering

• Proven experience leading complex AI initiatives and mentoring others.

Preferred Qualifications

• Experience with knowledge graphs or graph-based data models.

• Experience with multi-modal AI systems.

• Background in enterprise SaaS, compliance, or other regulated domains.

Enablement

Willingness to complete internal GenAI platform training and certification.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$128,900.00 - $226,050.00 USD

This role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

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Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science or related field

• 8+ more years of experience in technology leadership, digital transformation, automation or advanced analytics roles

• Demonstrated experience leading enterprise initiatives involving AI, generative AI, RPA, or intelligent automation

• Experience defining and executing technology or automation strategies in regulated industries such as financial services, healthcare, or public sector

• Experience working with vendor provided AI solutions and platforms, including buy and partner deliver models

• Strong understanding of process improvement methodologies and their application to automation initiatives

• Experience establishing governance, risk management, and control frameworks for emerging technologies

• Proficient in all applicable MS Office programs (i.e., Word, Excel, Outlook, Teams, etc.)

• 5 more items(s)

Benefits

• $192,157 / Mid. $245,000 / Max

• $315,848* per year

• Actual compensation will be based on geographical location, work experience, education and/or skill level

Responsibilities

• This role provides strategic direction and hands-on leadership to drive the responsible adoption of artificial intelligence, generative AI, and intelligent automation technologies across the organization

• Reporting directly to the Chief Technology Officer, this role partners closely with IT, business leaders, compliance, risk, and operations to identify high value use cases, deliver measurable efficiency gains, and enhance both Member and team member experiences

• The AVP ensures AI initiatives are executed in alignment with CU SoCal’s AI Strategy, Continuous Process Improvement framework, and applicable governance standards

• Establish and lead the Enterprise AI & Automation function, including defining operating model, intake processes, prioritization frameworks, and delivery standards

• Develop and maintain the enterprise AI and automation roadmap, ensuring alignment with organizational strategy, business priorities, and technology architecture

• Identify, evaluate, and prioritize AI, generative AI, and RPA use cases that deliver measurable operational efficiency, scalability, risk reduction, or enhanced Member and team member experiences

• Partner with business units and IT teams to redesign processes and implement intelligent automation solutions grounded in continuous improvement principles

• Lead the adoption and optimization of enterprise AI platforms, including currently approved tools such as Microsoft Copilot and ChatGPT, to improve team member productivity, decision making, and operational efficiency

• Partner with business units as subject matter expert to evaluate, select, and implement AI and automation solutions, providing technical guidance, governance oversight, and vendor coordination while supporting business owned outcomes

• Ensure all AI initiatives adhere to responsible AI principles, regulatory requirements, and internal governance standards, including alignment with the NIST AI Risk Management Framework and CU SoCal policies

• Collaborate with compliance, risk management, legal, and data governance stakeholders to support ethical AI usage, data protection, model transparency, and risk mitigation

• Lead change management and adoption for enterprise-wide AI solutions by partnering with business units and C&TD to support training, communication, and value realization tracking

• Define and monitor KPIs to measure the effectiveness, adoption, and business impact of AI and automation initiatives

• Stay current on AI, generative AI, and automation trends, assessing emerging technologies for relevance and potential value to the credit union

• Build, lead, and develop a high performing team, providing coaching, direction, and performance management

• Complete understanding and active application the C.A.R.E. 4 Guide expectations and the Brand Communications Standards Accountability Philosophy

• Must be able and available to work a “hybrid” schedule, per business operations requirement, as needed

• Additional duties and responsibilities, as assigned

• 15 more items(s)

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Job description

Description

The AVP, Enterprise AI & Automation is responsible for establishing and leading the credit union’s Enterprise AI and Automation function. This role provides strategic direction and hands-on leadership to drive the responsible adoption of artificial intelligence, generative AI, and intelligent automation technologies across the organization.

Reporting directly to the Chief Technology ...Officer, this role partners closely with IT, business leaders, compliance, risk, and operations to identify high value use cases, deliver measurable efficiency gains, and enhance both Member and team member experiences. The AVP ensures AI initiatives are executed in alignment with CU SoCal’s AI Strategy, Continuous Process Improvement framework, and applicable governance standards. .

This position in based in Anaheim Hills CA with the opportunity to work a hybrid-remote schedule which consist of 2 days in-office and 3 days working remote from home

Why Work at CU SoCal?

CU SoCal is one of the fastest growing credit unions and is more than just a place to work. It’s a place where people come before profit, a place where you can build a career that’s more than a job, and where the work you do has meaning and purpose. We offer competitive pay, great health benefits and a culture like no other!

CU SoCal Earns The Gallup Exceptional Workplace Award—For The 3rd Year in a Row!

We’re proud to announce that CU SoCal has once again been recognized with the Gallup Exceptional Workplace Award (GEWA)—marking our third consecutive year receiving this prestigious honor. Even more exciting, CU SoCal was one of only five credit unions nationwide to earn the award in 2025.

This recognition highlights organizations that lead the way in team member engagement and workplace culture. There are several criteria need for organizations to qualify, including achieving an 80%+ survey participation rate and an overall engagement score of 4.65 or higher—standards that place CU SoCal among the top workplaces in the world.

The CU SoCal culture fosters Building Better Lives for our Members, personal development, open communication, and genuine care for each other. We prioritize C.A.R.E. 4: professional competence, positive attitude, relationship building, and eager service to others. If you're passionate about making a difference and want to be part of a dynamic team, explore CU SoCal career opportunities today!

Requirements

Minimum Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science or related field.

• 8+ more years of experience in technology leadership, digital transformation, automation or advanced analytics roles.

• Demonstrated experience leading enterprise initiatives involving AI, generative AI, RPA, or intelligent automation.

• Experience defining and executing technology or automation strategies in regulated industries such as financial services, healthcare, or public sector.

• Experience working with vendor provided AI solutions and platforms, including buy and partner deliver models.

• Strong understanding of process improvement methodologies and their application to automation initiatives.

• Experience establishing governance, risk management, and control frameworks for emerging technologies.

• Proficient in all applicable MS Office programs (i.e., Word, Excel, Outlook, Teams, etc.).

Preferred Qualifications

• Master’s degree in Technology, Data Science, AI, Business, or related discipline

Essential Duties and Responsibilities

• Establish and lead the Enterprise AI & Automation function, including defining operating model, intake processes, prioritization frameworks, and delivery standards.

• Develop and maintain the enterprise AI and automation roadmap, ensuring alignment with organizational strategy, business priorities, and technology architecture.

• Identify, evaluate, and prioritize AI, generative AI, and RPA use cases that deliver measurable operational efficiency, scalability, risk reduction, or enhanced Member and team member experiences.

• Partner with business units and IT teams to redesign processes and implement intelligent automation solutions grounded in continuous improvement principles.

• Lead the adoption and optimization of enterprise AI platforms, including currently approved tools such as Microsoft Copilot and ChatGPT, to improve team member productivity, decision making, and operational efficiency.

• Partner with business units as subject matter expert to evaluate, select, and implement AI and automation solutions, providing technical guidance, governance oversight, and vendor coordination while supporting business owned outcomes.

• Ensure all AI initiatives adhere to responsible AI principles, regulatory requirements, and internal governance standards, including alignment with the NIST AI Risk Management Framework and CU SoCal policies.

• Collaborate with compliance, risk management, legal, and data governance stakeholders to support ethical AI usage, data protection, model transparency, and risk mitigation.

• Lead change management and adoption for enterprise-wide AI solutions by partnering with business units and C&TD to support training, communication, and value realization tracking.

• Define and monitor KPIs to measure the effectiveness, adoption, and business impact of AI and automation initiatives.

• Stay current on AI, generative AI, and automation trends, assessing emerging technologies for relevance and potential value to the credit union.

• Build, lead, and develop a high performing team, providing coaching, direction, and performance management.

• Complete understanding and active application the C.A.R.E. 4 Guide expectations and the Brand Communications Standards Accountability Philosophy.

• Must be able and available to work a “hybrid” schedule, per business operations requirement, as needed.

• Additional duties and responsibilities, as assigned.

We support Pay Transparency and are a pay-for-performance organization that benchmarks base pay to the 50th percentile of market data.

Pay Scale: Min. $192,157 / Mid. $245,000 / Max. $315,848* per year

• Actual compensation will be based on geographical location, work experience, education and/or skill level.

CU SoCal is an equal opportunity employer. All decisions are based only on the individual’s qualifications/ability to perform the work. The above statements are intended to describe the essential functions, nature and level or work to be performed as of the document preparation date; they are not intended to be an exhaustive list of all duties and responsibilities. CU SoCal reserves the right to modify this job description at any time, without notice.

We foster an environment and culture where ideas and decisions from all people help us grow, innovate, and fulfill our mission of Building Better Lives.

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Qualifications

• Required Experience- 12+ years

• Must have Banking/Financial Domain Experience

• Raise the bar: Drive design reviews, experiment rigor, and high-quality engineering practices; mentor peers on agent architectures, evaluation methodologies, and safe deployment patterns

• 3+ years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows

• Practical experience with Large Language Models (LLMs): API integration, prompt engineering, fine-tuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution)

• Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude)

• Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions

• Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact

• 5 more items(s)

Responsibilities

• Build agentic AI systems: Design and implement tool-calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol

• Engineer robust guardrails for safety, compliance, and least-privilege access

• Productionize LLMs: Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations

• Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability

• Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business-aligned outcomes

• Safety, reliability, and governance: Build validator models, adversarial prompts, and policy checks into the stack; enforce deterministic fallbacks, circuit breakers, and rollback strategies; instrument continuous evaluations for usefulness, correctness, and risk

• Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real-world load

• Build a RAG pipeline: Curate domain-knowledge; build data-quality validation framework; establish feedback loops and milestone framework maintain knowledge freshness

• 5 more items(s)

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Role- AI Engineer

Location- Dallas, TX (onsite)

Required Experience- 12+ years

Must have Banking/Financial Domain Experience

Job Description

• Build agentic AI systems: Design and implement tool-calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol. Engineer robust guardrails fo...r safety, compliance, and least-privilege access.

• Productionize LLMs: Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations.

• Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability.

• Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business-aligned outcomes.

• Safety, reliability, and governance: Build validator models, adversarial prompts, and policy checks into the stack; enforce deterministic fallbacks, circuit breakers, and rollback strategies; instrument continuous evaluations for usefulness, correctness, and risk.

• Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real-world load.

• Build a RAG pipeline: Curate domain-knowledge; build data-quality validation framework; establish feedback loops and milestone framework maintain knowledge freshness.

• Raise the bar: Drive design reviews, experiment rigor, and high-quality engineering practices; mentor peers on agent architectures, evaluation methodologies, and safe deployment patterns

ESSENTIAL SKILLS

• 5+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred.

• 3+ years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows.

• Practical experience with Large Language Models (LLMs): API integration, prompt engineering, fine-tuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution).

• Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude).

• Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions.

• Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact.

• Preferred: Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation).

About the Company:

ALTITUDE TECHNOLOGY SOLUTIONS

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Job description

AI Mental Health & Research Internship Remote Position Schedule, Duration, Position Type -Contract, Part-Time, Internship -Compensation: Academic Credit or Volunteer (Unpaid) - Flexible hours to accommodate academic schedules - Minimum commitment: 3 months - Start date: Flexible Position Overview Join Voice Up as an AI Mental Health & Research Intern, conducting comprehensive analysis and providin...g first-hand user experience insights into artificial intelligence applications designed for mental and behavioral health support. This role involves systematic evaluation of AI mental health tools while considering ethical implications, user experience, and effectiveness.

Key Responsibilities - Research and identify current AI mental health applications - Test and evaluate AI mental health tools firsthand - Document user experience and accessibility - Analyze benefits and limitations of each platform - Assess privacy and ethical considerations - Participate in weekly Saturday afternoon collaborative sessions with our nationwide team of student leaders - Create detailed evaluation reports - Develop recommendations for improvement Required Qualifications - Current enrollment in an accredited college or university - Strong understanding of mental health concepts - Experience with technology evaluation - Excellence in analytical thinking - Strong writing and documentation skills - Understanding of user experience principles - Interest in AI and mental health intersection - Research methodology knowledge Research Focus Areas **Technology Assessment** - User interface evaluation - Functionality testing - Feature analysis - Performance assessment - Technical limitations - Integration capabilities - Accessibility review - Privacy measures **Mental Health Considerations** - Support effectiveness - Clinical basis - Therapeutic approach - Crisis response - User safety - Cultural sensitivity - Evidence-based practices - Ethical implications What You'll Gain - AI technology evaluation experience - Mental health industry knowledge - Research methodology expertise - Analysis and reporting skills - User experience insights - Letter of support from Voice Up's founder upon successful completion - Portfolio of research reports - Technology assessment expertise Project Components - Comprehensive app reviews - User experience documentation - Privacy analysis - Ethical consideration reports - Comparison studies - Recommendation development - Impact assessment - Best practice identification To Apply Send to Please submit:

• Your resume - Research writing sample - Technology evaluation experience - Understanding of mental health - Analysis methodology ideas - Privacy/ethics perspective Core Competency Development **Research Skills** - Methodology design - Data collection - Analysis frameworks - Documentation - Report writing - Privacy assessment - Ethics evaluation - Impact measurement **Technology Assessment** - User testing - Feature evaluation - Privacy analysis - Technical review - Accessibility assessment - Integration analysis - Performance testing - Security evaluation Voice Up Publishing Inc. believes in understanding how AI technology can responsibly support mental health while identifying areas for improvement. Key Objectives - Evaluate AI applications - Document user experience - Assess effectiveness - Identify limitations - Consider ethical implications - Develop recommendations - Create resources - Share insights Ideal candidates will demonstrate:

• Research ability - Technology understanding - Mental health awareness - Analytical thinking - Writing excellence - Ethical consideration - Privacy awareness - User experience knowledge Special consideration given to candidates with:

• Psychology background - Technology evaluation experience - Research methodology training - Mental health knowledge - Privacy/security expertise - UX research experience - Ethics coursework - Technical writing skills This role offers the opportunity to contribute to the understanding of AI's role in mental health support while developing crucial research and evaluation skills. The ideal candidate will combine technical knowledge with mental health awareness and ethical consideration.

Evaluation

Framework - User experience - Clinical validity - Privacy protection - Ethical considerations - Technical performance - Accessibility - Cultural sensitivity - Safety measures Voice Up Publishing Inc. is committed to understanding how technology can best support mental health while maintaining ethical standards and user safety. We welcome applications from students who can bring both technical understanding and mental health awareness to this evaluation process.

Note: This position requires careful attention to privacy considerations and ethical implications while maintaining objectivity in assessment.

Experience with mental health support services or technology evaluation is highly val

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Qualifications

• 6–10 years of experience in Product Management or Business-Technology roles within insurance, claims, or managed services

• Strong understanding of claims operations, adjuster workflows, or insurance servicing models

• Experience working in Agile delivery environments

• Ability to translate operational pain points into structured technical requirements

• Strong stakeholder communication skills across business and technical audiences

• 2 more items(s)

Responsibilities

• End-to-End AI Product Owner – Line of Business or Platform Aligned

• The Product Manager / Product Owner – AI is responsible for end-to-end ownership of AI initiatives for a specific Line of Business or claims domain

• This role partners directly with business stakeholders to define AI-enabled improvements to claims operations, cost control, and client service performance, and translates those objectives into structured, sprint-ready execution plans

• This role combines strategic initiative shaping with hands-on backlog ownership and daily collaboration with AI engineers and data scientists

• It ensures that AI development is grounded in real operational pain points and that delivered solutions are practical, compliant, and measurable in impact

• The Product Manager/Owner works directly with claims leadership, operational managers, and Business Transformation Leads to understand workflow bottlenecks, leakage drivers, customer friction points, regulatory risks, and client performance commitments

• They translate these insights into clearly defined AI use cases with measurable operational objectives such as reduced claim cycle time, improved reserving accuracy, enhanced fraud detection rates, or improved document processing speed

• They decompose initiatives into epics and features that reflect real-world operational workflows, ensuring requirements account for system integrations, adjuster behavior, client reporting requirements, and compliance obligations

• They collaborate with AI engineers and data scientists to validate feasibility, data availability, model explainability considerations, and downstream operational impact

• They own and continuously refine the product backlog, ensuring it remains prioritized according to business value and aligned with enterprise AI portfolio constraints

• They prepare stories with detailed acceptance criteria that reflect actual claims scenarios and operational realities, not abstract technical requirements

• During sprint execution, they remain closely engaged with the delivery team, clarifying nuances of claims processes, regulatory rules, and client-specific variations

• They validate that developed models, automation features, or decision-support tools function appropriately within the claims workflow and align with user expectations

• They communicate progress, risks, and trade-offs to LOB stakeholders transparently, ensuring expectations are managed around sequencing and delivery timelines

• Following deployment, they monitor adoption, operational metrics, and user feedback, adjusting backlog priorities based on real-world performance and measurable impact

• This role requires balancing operational urgency with disciplined backlog governance, particularly in environments where client escalations or regulatory deadlines may introduce pressure for rapid change

• 13 more items(s)

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By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve.

Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Co...mpanies

Certified as a Great Place to Work®

Fortune Best Workplaces in Financial Services & Insurance

Product Manager/Owner AI

End-to-End AI Product Owner – Line of Business or Platform Aligned

Role Overview

The Product Manager / Product Owner – AI is responsible for end-to-end ownership of AI initiatives for a specific Line of Business or claims domain. This role partners directly with business stakeholders to define AI-enabled improvements to claims operations, cost control, and client service performance, and translates those objectives into structured, sprint-ready execution plans.

This role combines strategic initiative shaping with hands-on backlog ownership and daily collaboration with AI engineers and data scientists. It ensures that AI development is grounded in real operational pain points and that delivered solutions are practical, compliant, and measurable in impact.

Key Responsibilities

The Product Manager/Owner works directly with claims leadership, operational managers, and Business Transformation Leads to understand workflow bottlenecks, leakage drivers, customer friction points, regulatory risks, and client performance commitments. They translate these insights into clearly defined AI use cases with measurable operational objectives such as reduced claim cycle time, improved reserving accuracy, enhanced fraud detection rates, or improved document processing speed.

They decompose initiatives into epics and features that reflect real-world operational workflows, ensuring requirements account for system integrations, adjuster behavior, client reporting requirements, and compliance obligations. They collaborate with AI engineers and data scientists to validate feasibility, data availability, model explainability considerations, and downstream operational impact.

They own and continuously refine the product backlog, ensuring it remains prioritized according to business value and aligned with enterprise AI portfolio constraints. They prepare stories with detailed acceptance criteria that reflect actual claims scenarios and operational realities, not abstract technical requirements.

During sprint execution, they remain closely engaged with the delivery team, clarifying nuances of claims processes, regulatory rules, and client-specific variations. They validate that developed models, automation features, or decision-support tools function appropriately within the claims workflow and align with user expectations.

They communicate progress, risks, and trade-offs to LOB stakeholders transparently, ensuring expectations are managed around sequencing and delivery timelines. Following deployment, they monitor adoption, operational metrics, and user feedback, adjusting backlog priorities based on real-world performance and measurable impact.

This role requires balancing operational urgency with disciplined backlog governance, particularly in environments where client escalations or regulatory deadlines may introduce pressure for rapid change.

Qualifications

• 6–10 years of experience in Product Management or Business-Technology roles within insurance, claims, or managed services

• Strong understanding of claims operations, adjuster workflows, or insurance servicing models

• Experience working in Agile delivery environments

• Ability to translate operational pain points into structured technical requirements

• Strong stakeholder communication skills across business and technical audiences

Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.

If you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.

Sedgwick is the world’s leading risk and claims administration partner, which helps clients thrive by navigating the unexpected. The company’s expertise, combined with the most advanced AI-enabled technology available, sets the standard for solutions in claims administration, loss adjusting, benefits administration, and product recall. With over 33,000 colleagues and 10,000 clients across 80 countries, Sedgwick provides unmatched perspective, caring that counts, and solutions for the rapidly changing and complex risk landscape. For more, see sedgwick.com

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Qualifications

• This role requires a Bachelor's degree and a minimum of 5 years in a developer role focused on Automation/AI

• The ideal candidate will have strong engineering skills and hands-on experience in AI, along with excellent communication and mentoring abilities

Responsibilities

• Join a fast-paced environment dedicated to enhancing automation efficiencies across the organization

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Position: Senior AI & Automation Engineer — Contract

A technology solutions company is looking for an experienced AI Engineer to lead automation and intelligent AI solutions. This role requires a Bachelor's degree and a minimum of 5 years in a developer role focused on Automation/AI. The ideal candidate will have strong engineering skills and hands-on experience in AI, along with excellent communi...cation and mentoring abilities. Join a fast-paced environment dedicated to enhancing automation efficiencies across the organization.

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Lead AI Systems Engineer — DeFi Governance (Remote)

Zero to AI Engineer