
## Full Description
Key Responsibilities:Design, craft, and optimize prompts to elicit accurate, relevant, and context-aware outputs from generative AI models.Test and iterate prompt variations to improve model performance across different use cases and scenarios.Analyze model responses to identify strengths, weaknesses, and areas of bias or inconsistency.Collaborate closely with AI specialists, data scientists, andbusiness teams to understand domain requirements and tailor prompts accordingly.Develop prompt templates and frameworks for scalable and repeatable AI-driven interactions.Implement prompt engineering best practices to reduce hallucinations, ambiguity, and irrelevant outputs.Document prompt designs, workflows, and outcomes to build organizational knowledge and support ongoing improvements.Monitor generative AI model behavior and fine-tune prompts in response to performance drifts or unexpected outputs.Experiment with multi-turn dialogues and context retention techniques to enhance conversational AI experiences.Integrate prompt-based AI workflows with broader cloud platforms, APIs, and data pipelines.Educate internal teams on effective prompt creation and AI interaction to maximize platform utilization.Work on customizing prompts for multilingual or culturally diverse audiences to improve inclusivity.Evaluate emerging prompt engineering tools and methodologies and recommend adoption strategies.Ensure compliance with ethical AI guidelines and company policies in prompt usage and optimize prompts for cost efficiency by balancing query complexity and resource consumption.Conduct training sessions or workshops on prompt engineering best practices for stakeholders.Collaborate with security teams to ensure prompt inputs do not expose sensitive or confidential informationExpertise Required:Google Cloud PlatformVertex AIAI Language modelsPrompt management toolsGen AIGoogle Cloud PlatformExperiment trackingApigeeGoogle Cloud Storage



Job description
DESCRIPTION

At Amazon Web Services (AWS), we are seeking a Healthcare & Life Sciences (HCLS) Business Development professional to join our Applied AI Solutions (AAIS) Go to Market (GTM) organization. In this role, you will help shape and deliver on our GTM strategy for global HCLS customers and partners. As a business development specialist, you will be at the forefront of helping customers succe...ed using AWS technologies, identifying business opportunities and driving adoption of our HCLS AI solutions.

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions.

In this role, you will work closely with Solutions Architects, Sales Specialists, and Product leadership to develop, accelerate, and sell current and new HCLS products. You will engage directly with customers to understand their business challenges, identify opportunities, and build compelling business cases. By establishing and growing business relationships with customers and internal stakeholders, you will drive revenue growth and customer adoption of AWS solutions in the healthcare and life sciences industry. You will use this knowledge to work with the Product organization to develop market-fit products and influence the product roadmap.

Key job responsibilities

• Identify and qualify new business opportunities for AWS HCLS AI solutions with enterprise customers

• Contribute to account plans developed by the account teams and sales strategies to drive revenue growth and customer adoption

• Partner with Solutions Architects to ensure technical solutions align with customer business needs and objectives

• Build and maintain relationships with key decision makers at customer organizations

• Collaborate with Product teams to provide market insights and customer feedback to influence product roadmap

• Work with Marketing to develop and execute campaigns that generate qualified leads and build pipeline

• Track and report on sales pipeline, forecasts, and business metrics to leadership

• Represent AWS at industry events, conferences, and customer meetings to promote HCLS AI solutions

• Stay current on industry trends, competitive landscape, and emerging opportunities in healthcare and life sciences

• Travel ~30% of the time to support customer engagements

About the team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

BASIC QUALIFICATIONS

• Experience leading large-scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion

• 10+ years of experience in business development, sales, or account management in healthcare or life sciences

• Extensive background in healthcare IT, clinical systems, payer, provider, life sciences R&D, or closely related domains with demonstrated expertise in multiple areas

• Demonstrated success implementing consultative selling approaches and solution-based sales methodologies across complex accounts or territories

• Comprehensive knowledge of healthcare or life sciences industry challenges, workflows, and regulations with ability to anticipate market trends

PREFERRED QUALIFICATIONS

• Experience and track record of exceeding sales goals

• 5+ years of experience with cloud computing technologies, infrastructure architecture, or software development

• Master's or PhD in health sciences, healthcare administration/management, public health, healthcare information management, or associated domains

• Demonstrated success selling cloud computing or technology solutions to healthcare and life sciences organizations at enterprise level

• Deep understanding of AI/ML applications and use cases in healthcare and life sciences with ability to articulate strategic value propositions

• Comprehensive understanding of healthcare data standards (HL7, FHIR, DICOM) and healthcare regulations (HIPAA, GDPR) with ability to navigate complex compliance requirements

• Experience leading cross-functional technical teams to deliver integrated business and technology solutions for enterprise customers

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, San Francisco - 193,700.00 - 262,000.00 USD annually

USA, MA, Boston - 176,100.00 - 238,200.00 USD annually

USA, NY, New York - 193,700.00 - 262,000.00 USD annually

USA, TX, Dallas - 176,100.00 - 238,200.00 USD annually

USA, WA, Seattle - 176,100.00 - 238,200.00 USD annually
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Job description
DESCRIPTION

Are you interested in shaping the future of Advertising and B2B Sales? We are a growing science and engineering team with an exciting charter and need your passion, innovative thinking, and creativity to help take our products to new heights.

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of a...dvertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

Within the Advertising Sales organization, we are building a central AI/ML team and are seeking top science talent to build new, science-backed services to drive success for our customers. Our goal is to transform the way account teams operate by creating actionable insights and recommendations they can share with their advertising accounts, and ingesting Generative AI throughout their end-to-end workflows to improve their work efficiency.

As a part of our team, you will bring deep expertise in quantitative modeling (forecasting, recommender systems, reinforcement learning, causal inferencing or generative artificial intelligence) to build and refine models that can be implemented in production. You will be a thought leader as we chart new courses with our ad sales support technologies, and you have the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers. As a senior lead, you will have the excitement to take iterative approaches to tackle big, long-term problems.

Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon's Retail and Marketplace businesses. We deliver billions of ads impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit with a broad mandate to experiment and innovate.

Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences; this is your opportunity to work within the fastest growing businesses across all of Amazon! Define a long-term scientific vision for our advertising sales business, driven from our customers' needs, translating that direction into specific plans for scientists, engineers and product teams. This role combines scientific leadership, organizational ability, technical strength, product focus, and business understanding.

Key job responsibilities

• Conceptualize and lead state-of-the-art research on new Machine Learning and Generative Artificial Intelligence solutions to optimize all aspects of the Ad Sales business

• Guide the technical approach for the design and implementation of successful models and algorithms in support of expert cross-functional teams delivering on demanding projects

• Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities

• Run regular A/B experiments, gather data, and perform statistical analysis

• Work closely with software engineers to deliver end-to-end solutions into production

• Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving

About the team

Sales AI is a central science and engineering organization within Amazon Advertising Sales that powers selling motions and account team workflows via state-of-the-art of AI/ML services. Sales AI is investing in a range of sales intelligence models, including the development of advertiser insights, recommendations and Generative AI-powered applications throughout account team workflows.

BASIC QUALIFICATIONS

• 3+ years of building machine learning models for business application experience

• PhD, or Master's degree and 6+ years of applied research experience

• Experience programming in Java, C++, Python or related language

• Experience with neural deep learning methods and machine learning

• Applied research experience in Reinforcement Learning (RLHF, policy gradient methods), Large Language Models (fine-tuning, guardrails, distributed training) and/or Natural Language Processing

PREFERRED QUALIFICATIONS

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

• Experience with large scale distributed systems such as Hadoop, Spark etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Job description
Senior Agentic AI Engineer

We are looking for a Senior Software Engineer with Agentic AI to join an Agentic AI team building enterprise-grade conversational AI and autonomous agent systems. You will design, build, evaluate, and scale AI agents and workflows using modern agentic frameworks, working across front end, back end, and cloud infrastructure.

This is a remote role with periodic travel, o...nce a month, to a U.S.-based corporate headquarters.

What You’ll Do

• Design and implement end-to-end AI agents (tasks, tools, memory, planning, guardrails)

• Build agentic workflows using modern frameworks (e.g., LangChain, agent SDKs)

• Develop eval-first AI systems with automated metrics for quality, safety, and performance

• Architect scalable, secure, multi-tenant systems across APIs, queues, caching, and observability

• Collaborate cross-functionally and clearly communicate technical decisions

• Leverage AI coding assistants while maintaining enterprise-grade standards

• Support releases, monitoring, and production operations

• Develop and maintain AI evaluation frameworks, including offline and online evals, metrics, and KPIs to measure agent quality, safety, reliability, and business impact

What You Bring

• Master’s or Ph.D. in a relevant field or equivalent experience

• 5+ years in ML Engineering/Data Science, including 2+ years in Generative AI and LLMs

• Strong Python and SQL skills with production experience

• Experience with prompt engineering, RAG, vector embeddings, and agentic architectures

• Cloud expertise (AWS, GCP, or Azure), plus Docker, Kubernetes, and CI/CD

• Strong communication skills and experience working in Agile teams

• Willingness to travel periodically for in-person collaboration
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Job description
We are looking for a finance professional to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.

In this role you will need to hold an expert level of financial reasoning- a completed or in progress Masters/PhD is preferred. Other related fields include, but are not limited to: Financi...al Accounting, Investment Banking, Wealth Management, and Insurance Planning.

Benefits:

This is a full-time or part-time REMOTE position

You'll be able to choose which projects you want to work on

You can work on your own schedule

Projects are paid hourly starting at $50-$60 USD per hour, with bonuses on high-quality and high-volume work

Responsibilities:

Give AI chatbots diverse and complex problems and evaluate their outputs

Evaluate the quality produced by AI models for correctness and performance

Qualifications:

Fluency in English (native or bilingual level)

Detail-oriented

Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

A current, in progress, or completed Masters and/or PhD is is preferred but not required

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.
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Job description
A leading AI solutions provider seeks a Human Data Research Analyst for a remote role to enhance AI solutions for clients. Responsibilities include representing software for optimizations, creating tailored use case scenarios, and identifying process improvements. Required qualifications include an AI-related Master's degree and technical experience with Python, SQL, and strong analytical skills. ...The position offers a competitive compensation package, benefits, and a flexible, supportive work environment.

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Job description
You will define, design, and implement large-scale high-performance cloud services. You will interact closely with hardware, software development teams, and internal and external partners to help drive Oracle’s cloud platform solution space. You will be a critical part of the team developing Oracle’s growing cloud infrastructure solutions.

You will work with the latest distributed systems archite...ctures, benchmark their performance, and collaborate with software engineers to ensure tight integration of new platform features. You’ll have a direct impact on shaping the future of highly available, scalable, and performant cloud platforms for a variety of workloads.

Responsibilities

Our Principal engineers are also the people who can work independently and provide technical leadership to the rest of the team. You should have experience developing high-scale infrastructure and operating large, distributed services, and an understanding of how to make these cloud-scale services resilient. The ideal candidate will be technically strong and productive; someone who knows how to balance speed and quality with iterative and incremental improvements. You understand operational excellence and know-how to infuse a culture of being proactive within your team. You recommend and justify major changes to new and existing products and establish consensus with data-driven approaches.

• Evaluation of system architecture and proposed implementation path analysis.

• Work directly with hardware, architecture, and software development teams on system architecture, implementation, development, deployment, and troubleshooting. Collaboration is also expected with the wider Oracle engineering and operations functional groups as well as our external partners.

• Conduct comprehensive benchmarking and performance analysis of distributed system components from various vendors.

• Compare and contrast new solutions in infrastructure and distributed systems with industry-standard platforms.

• Develop tools and processes for evaluating the performance of system components in real-world applications.

• Contribute to the design and improvement of performance optimization algorithms for distributed systems.
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About Kinaxis

About Kinaxis

Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it’s really our people who give us passion to always seek ways to do things better. As such, we’re serious about your career growth and professional development, because People matter at Kinaxis.   

In 1984, we started out as a team of three engineers. Today, we have gr...own to become a global organization with over 2000 employees around the world, with a brand-new HQ based in Kanata North in Ottawa. As one of Canada’s Top Employers, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.

At Kinaxis, we power the world’s supply chains to help preserve the planet’s resources and enrich the human experience. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries, with more than 40,000 users in over 100 countries. We are expanding our team as we continue to innovate and revolutionize how we support our customers.

About the team

Location

our offices in Ottawa and Toronto (Hybrid)

About the team

The AI team is responsible for delivering machine learning solutions in the supply and demand space for

verticals such as Retail, Consumer Packaged Goods, Life Sciences etc.

This includes problems in the space of forecasting, optimization, replenishment, recommendation,

explainability, and more. The uniqueness of the team is that it performs at the intersection of technology and

real business problems. You will contribute to the product that delights customers world-wide!

Kinaxis is seeking a talented and passionate Machine Learning Staff Developer to join our Machine Learning

team. Your work will directly impact our enterprise-grade AI software platform and solutions, which are used

by hundreds of customers worldwide to manage their supply chains.

About the role

Vacancy Status

This is an existing job vacancy

What you will do

All aspects of the machine learning software development life cycle are familiar to you. You are passionate about shipping large-scale software systems in a fast-paced environment, but you can balance longer term issues such as maintainability, scalability and quality. You’re fluent in Python object-oriented development and in the cloud. In addition to working with modern data storage, familiarity with Kubernetes, docker and have hands-on experience with big data technologies.

You have the ability and enthusiasm to learn new technologies whether they are infrastructure language or platform and easily adapt to change. You will define, drive, design, and build/ship end-to-end solutions that not only solve real customer problems but also create automated ML-based solutions to orchestrate our customers’ supply chains, including architectural design, relevant design documentation, test planning and execution.

You will contribute to the end-to-end AI/ML software development lifecycle, ensuring reproducible research and state-of-the-art results for our customers. You will drive architecture, design, and delivery of advanced ML systems in the Product R&D team. Oversee the work of junior developers and actively engage team members to develop their skills and build shared ownership across the code base. Proactively engages outside of team to unblock other team members while progressing their own technical assignments.

What we are looking for

• Cloud & Managed Services Engineering: Proven expertise in designing, provisioning, deploying, and operating large-scale systems on AWS, Azure or GCP. Strong hands-on experience with Docker, Kubernetes (managed via Argo CD, Helm, or similar), infrastructure automation using Terraform, and distributed systems.

• Agentic & Modern AI Frameworks: Practical experience building solutions using agentic AI patterns, RAG, vector databases, and orchestration frameworks like LangGraph/Google ADK/OpenAI Agent SDK, including prompt engineering and context engineering for production of the agentic workflows.

• End-to-End ML/AI Software Development: Extensive experience developing robust ML-driven systems with Python and modern data tooling. Skilled in debugging, optimizing, testing, and delivering production-quality software.

• Technical Leadership & Collaboration: Ability to guide architecture, mentor developers, and drive high-quality engineering decisions across teams.

• Technical Communication: Strong written and verbal communication skills suitable for both technical and non-technical audiences. Operate as a technical advisor to managers/leaders.

• AI Driven Software Development: Experience in leveraging agentic software development tools - such as GitHub Copilot, Claude Code or other autonomous agents - to accelerate delivery of new features and resolution of issues.

• Education: Bachelor’s degree or higher in Computer Science or a related field.

• Experience: 5-7 years of experience in software engineering, machine learning or related fields.

Nice to Have

• Domain Knowledge: Experience with supply chain or manufacturing systems.

• Strong CS Foundations: Solid grounding in algorithms, data structures, linear algebra, probability, and optimization.

• Workflow Orchestration: Experience with tools such as Argo Workflows or similar.

Why join Kinaxis?

Work With Impact: Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day—when we see store shelves stocked, when medications are available for our loved ones, and so much more.

Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin, Yamaha, P&G, Honda, and more.

Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to net-zero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and these are some of the perks and benefits we created for our team:

• Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month)

• Flexible work options

• Physical and mental well-being programs

• Regularly scheduled virtual fitness classes

• Mentorship programs and training and career development

• Recognition programs and referral rewards

• Hackathons

Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at recruitmentprograms@kinaxis.com. Please note that this contact information is strictly for accessibility requests and cannot be used to inquire about application statuses.

Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description, to identify candidates whose education, experience and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.
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Job Description

Drive the development and execution of a comprehensive AI transformation strategy, aligning with business objectives to deliver innovation and process improvement across internal operations and customer solutions. Oversee the deployment and integration of agentic AI platforms, optimizing performance and ensuring measurable impact. Lead change management, stakeholder engagement, an...d team development to foster AI adoption, while ensuring compliance and risk mitigation. Continuously monitor emerging technologies and refine AI initiatives to maximize business and customer value.

Responsibilities

AI Transformation Strategy:

• Develop and execute a comprehensive AI transformation roadmap aligned with business objectives. Identify and prioritize opportunities for AI-driven innovation and process improvement for both internal operations and customer-facing solutions.

Agentic AI Platform Deployment

• Evaluate, select, and oversee the implementation of agentic AI platforms for internal business processes and external customer engagement.

• Ensure seamless integration of AI solutions with existing systems and workflows. Monitor and optimize the performance of agentic AI platforms, ensuring measurable business and customer impact.

Internal Operations Optimization

• Leverage agentic AI platforms to automate workflows, enhance operational efficiency, and support data-driven decision-making within the department. Collaborate with internal teams to identify use cases and deliver tailored AI solutions.

External Customer Solutions

• Lead the development and deployment of agentic AI platforms to enhance customer experience, engagement, and service delivery. Work closely with customer-facing teams to understand needs and deliver innovative AI-powered products and services.

Change Management & Adoption

• Drive change management initiatives to facilitate the adoption of AI technologies across the department and among customers. Develop training programs and support materials to build AI literacy for employees and customers.

Stakeholder Engagement

• Collaborate with business units, IT, and customer teams to ensure alignment and successful delivery of AI solutions. Present AI transformation progress, outcomes, and opportunities to senior management and key stakeholders.

Team Leadership

• Build and manage a multidisciplinary team of AI specialists, data scientists, and business analysts. Foster a culture of innovation, collaboration, and continuous improvement in AI adoption.

Performance Measurement

• Define and track key performance indicators (KPIs) to measure the effectiveness of AI initiatives and agentic platforms for both internal and external use. Use data-driven insights to refine AI strategies and maximize business and customer value.

Risk Management & Compliance

• Ensure AI solutions comply with relevant regulations, ethical standards, and data governance policies. Identify and mitigate risks associated with AI adoption and operation.

Continuous Improvement

• Stay abreast of emerging AI technologies and trends, evaluating their potential for business and customer application. Drive ongoing optimization of AI platforms and transformation initiatives.

Qualifications

• Required: Bachelor's degree in computer science, Mathematics, Engineering, Management, or equivalent, , and specialized certification in AI

• 15+ years of experience in Data & AI

• Agentic AI experience

• Desirable: Master's degree in computer science, Mathematics, Engineering, Management, or equivalent, and advanced certification in AI
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Job description
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance

• Retirement Benefits: 401(k) with company match

• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five ...years of employment

• Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)

• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks

• Baby Bonding Leave: 18 weeks

• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Reston, VA, USA; Seattle, WA, USA; Sunnyvale, CA, USA.Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience with software development in C++, C, or Python.

• 2 years of experience developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

• 2 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

• Active US Government Top Secret/Sensitive Compartmentalized Information (TS/SCI) security clearance.

Preferred qualifications:

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

• 5 years of experience with data structures and algorithms.

• 1 year of experience in a technical leadership role.

• Experience developing accessible technologies.

About the jobGoogle'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 manage information at a 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.

As a part of the Emergent AI infrastructure team in Google, you will build the next-generation of on-prem AI infrastructure to bring the best of Google to empower frontier model and AI solution builders to advance the state-of-the-art for AI around the world.

You will join a team looking for engineers with exposure to fully integrated AI infrastructure systems, from hardware to software design and workload management. You will bring experience building AI clusters using the latest technologies for AI acceleration and cluster interconnects and networking.

In this role, you will be responsible for hardware and software security for On-Prem or cloud deployments of AI infrastructure products. You will work on firmware, driver, operating system, networking and services security work partnering with multiple groups.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're behind Google's groundbreaking innovations, empowering the development of AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

The US base salary range for this full-time position is $141,000-$202,000 + 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

• Collaborate with security teams inside of Google and partner and customer teams working with us.

• Develop OS and hardware security features for our product.

• Design security solutions within the scope of the broader area.

• Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

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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Performs deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making.

• *Core Responsibilities**

- Develops queries and performs extensive programming to access, transform, and prepare data for statistical modeling.

- Performs deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making.

- Identifies ...and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.

- Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.

- Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.

- Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business partners.

- Participates in special projects and performs other duties as assigned.

• *Qualifications**

- Minimum of three years related work experience in analytical roles. Experience with data wrangling required - Programming skills to access, transform and prepare large scale data for statistical modeling. Experience utilizing statistical and machine learning methods required.

- Undergraduate degree in Analytics, Applied Mathematics, Economics, Statistics or related analytical field of study or equivalent combination of training and experience. Graduate degree preferred.

• *How We Work**

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
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