## Full Description

This is your opportunity to work on innovative projects that leverage the latest advancements in AI technology. You'll be part of a forward-thinking team that values collaboration, creativity, and continuous learning. Together, we’ll build solutions that drive real-world impact.
Key Responsibilities:
• Transition AI applications from prototype to production, ensuring thorough evaluation and testing throughout the Software Development Life Cycle (SDLC).
• Design and develop services while seamlessly integrating them with internal and external APIs/MCPs to enhance AI-driven solutions.
• Collaborate closely with Data Scientists, Platform Engineers, and Product Owners to deliver high-quality AI applications in a continuous delivery environment.
• Partner with business stakeholders to design and implement innovative AI applications using advanced technologies such as Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and AI agents.
Qualifications & Skills:
• Minimum Experience: At least 1 year of hands-on experience in data science, software engineering, or AI engineering.
• Preferred Expertise:
• Proven track record in delivering RAG (Retrieval-Augmented Generation) applications or other AI-based solutions.
• Familiarity with public cloud platforms such as AWS, Azure, or AliCloud; relevant certifications are highly desirable.
• Strong understanding of system design principles and the software development lifecycle.
• Experience working with MLOps/LLMOps frameworks in large-scale enterprise environments is a plus.

We are partnered with a rapidly growing logistics and supply chain technology company that is building advanced, AI-driven systems to modernize and optimize complex operational workflows. Their platform leverages cutting-edge machine learning, automation, and software engineering to drive intelligent decision-making across logistics, warehousing, and transportation operations. The engineering team operates in a highly collaborative, fast-paced environment where developers have strong ownership and the opportunity to build impactful, AI-powered products that directly influence business performance.

We are specifically seeking Machine Learning Engineers who have strong experience working within Node.js based environments and can effectively integrate ML models into production-grade applications.

This role is focused on designing and scaling next-generation applications powered by machine learning and intelligent systems to support mission-critical supply chain operations. You will work across the full technology stack, developing modern web applications while integrating AI/ML models, building data-driven services, and designing scalable backend systems that enable predictive and automated logistics solutions.

I AM NOT ABLE TO ENGAGE ON A C2C BASIS WITH OTHER COMPANIES, AND CANDIDATES MUST BE A GREEN CARD HOLDER OR US CITIZEN. NO SPONSORSHIP IS AVAILABLE

Key Responsibilities

• Design, build, and maintain scalable full stack applications using Node.js and React, with a strong emphasis on AI/ML integration (30%)

• Develop, deploy, and integrate machine learning models and AI-driven features into both internal platforms and customer-facing products (30%)

• Build backend APIs, data pipelines, and microservices that support real-time, data-driven logistics workflows (15%)

• Collaborate on the design and optimization of scalable systems, model performance, and cloud-based AI infrastructure (10%)

• Integrate third-party data sources, ML services, and internal systems to enhance predictive capabilities (10%)

• Partner with cross-functional teams and contribute to best practices around AI adoption and system design (5%)

Qualifications

• 7+ years of professional software engineering experience with a strong foundation in full stack development

• Strong experience with Node.js and React in production environments

• Hands-on experience building, deploying, or integrating machine learning models or AI-driven applications

• Experience integrating machine learning models into production systems within Node.js or JavaScript-based backend architectures

• Solid understanding of data-driven systems, API development, and scalable architecture

• Experience working with large datasets, data pipelines, or real-time data processing systems

• Familiarity with cloud platforms (AWS, GCP, or Azure), preferably in the context of ML/AI workloads

• Experience in logistics, supply chain, transportation, or other data-intensive industries is a plus

• Strong problem-solving skills and the ability to operate in a fast-paced, evolving environment

• Excellent communication skills and ability to work across engineering, product, and business teams

The Offer

• Competitive base salary plus bonus and/or equity opportunities

• Comprehensive medical, dental, and vision benefits

• Opportunity to build AI-powered systems that transform logistics and supply chain operations

• Collaborative engineering environment with strong ownership and growth opportunities

• Hybrid or onsite work environment depending on location and team needs

???????I AM NOT ABLE TO ENGAGE ON A C2C BASIS WITH OTHER COMPANIES, AND CANDIDATES MUST BE A GREEN CARD HOLDER OR US CITIZEN. NO SPONSORSHIP IS AVAILABLE

Dice is the leading career destination for tech experts at every stage of their careers. Our client, The Jupiter Group, is seeking the following. Apply via Dice today!

About The Role

We are seeking a highly skilled and self-driven Software Engineer (with emphasis on database dev) to join our team. This is a fast-paced role that demands someone who can hit the ground running, navigate complex systems independently, and deliver results quickly. If you thrive in autonomous environments, love solving hard problems, and embrace modern AI-assisted development tools, this role is for you.

Key Responsibilities

• Design, develop, and maintain applications across a variety of platforms and database systems

• Analyze existing codebases — including business logic and data flows — to understand how current systems work, then extend or modernize them with minimal supervision.

• Rapidly prototype and deliver solutions in a high-velocity environment with shifting priorities

• Use AI development tools (Cursor, Claude, Copilot etc.) as force multipliers — providing them sufficient context, business rules, and guidance to generate accurate, production-quality output.

• Research unfamiliar technologies, frameworks, and legacy code patterns independently, and produce working solutions based on that self-directed learning

Required Qualifications

• 5+ years of professional software development experience.

• Hands-on experience with multiple database technologies (e.g., PostgreSQL, MySQL, SQL Server, DB2 iSeries, Oracle, NoSQL)

• Demonstrated ability to work across diverse application stacks and environments

• Excellent analytical and problem-solving skills — able to independently assess a situation, identify the root cause, and implement a fix or feature without waiting for step-by-step direction

• Proven track record of delivering projects quickly and with high quality

• Python and/or microservices development experience

Candidates whose experience is primarily in the following areas are not a strong fit for this role:

• Heavy ETL / data pipeline work focused on migrating data between databases or into cloud platforms

• Development experience centered primarily on cloud-native platforms (AWS, Google Cloud Platform, Azure)

• Big data engineering (Spark, Hadoop, data lakes, data warehouses, etc.)

We are looking for developers who build and maintain applications and services — not data movement specialists or cloud infrastructure engineers.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr Technical Product Manager, Bot & AI Automation Intelligence in United Arab Emirates.

This is a high-impact senior product leadership role focused on shaping the future of bot detection and automation intelligence in an increasingly AI-driven digital ecosystem. You will define the strategy and roadmap for next-generation fraud and automation detection systems, expanding beyond traditional bot management into AI agents, automated traffic, and adversarial behavior detection. Working in a globally distributed, remote-first environment, you will collaborate closely with engineering, data science, and go-to-market teams to build scalable, developer-centric products. The role combines deep technical understanding with strong product vision, requiring you to translate evolving threat landscapes into actionable detection capabilities. You will also own customer-facing experiences, including APIs and dashboards, ensuring usability and adoption across diverse clients. This position plays a critical role in strengthening trust, security, and intelligence across digital interactions worldwide.

Accountabilities

In this role, you will take ownership of the end-to-end product strategy and execution for bot detection and automation intelligence, ensuring strong alignment across technical, product, and commercial functions. Your responsibilities will include:

• Defining the vision, strategy, and roadmap for bot detection as a core product line, including its evolution into broader automation and intent intelligence.

• Driving development of advanced detection capabilities, including AI assistants, bot patterns, spoofing techniques, and adversarial automation behaviors.

• Partnering with engineering and data science teams to design evaluation frameworks, improve detection accuracy, and continuously optimize precision and recall.

• Leading the design of taxonomy and classification models that define automation types, identity patterns, and trust signals.

• Owning the strategy for non-JavaScript and server-side detection via APIs and edge-based intelligence systems.

• Shaping customer-facing experiences, including dashboards, APIs, schemas, and developer workflows for fraud and automation decisioning.

• Supporting commercialization efforts by collaborating with GTM teams on positioning, packaging, customer feedback loops, and product adoption strategies. Driving cross-functional execution as the single-threaded owner, ensuring alignment across engineering, design, analytics, and GTM stakeholders.

Requirements

We are looking for an experienced technical product leader with strong expertise in fraud detection, bot management, or security-focused platforms. Ideal candidates will bring a mix of product thinking, technical depth, and cross-functional leadership experience:

• 3+ years of experience in bot management, fraud prevention, abuse detection, or related security/data platforms.

• Proven ability to define product strategy, manage roadmaps, and deliver complex technical products in fast-paced environments.

• Strong understanding of web technologies, automation techniques, APIs, and adversarial detection systems.

• Experience working with data science and engineering teams on ML/heuristic-based detection systems, including measurement frameworks and performance optimization.

• Deep familiarity with detection metrics such as false positives, false negatives, precision/recall tradeoffs, and system evaluation methods.

• Strong analytical mindset with ability to define success metrics and interpret data-driven insights.

• Knowledge of privacy regulations such as GDPR and CCPA as they apply to data signals and detection systems.

• Excellent communication skills, with the ability to translate technical complexity into clear product direction and customer value. Bonus: experience with network/IP intelligence, proxy detection, client-server signal pipelines, and build-vs-buy decisions in security domains.

Benefits

• Competitive compensation aligned with experience, location, and market benchmarks.

• Remote-friendly work environment with global collaboration across time zones.

• Opportunity to work on cutting-edge AI-driven fraud and automation intelligence systems.

• High ownership role with significant strategic and technical impact.

• Collaboration with top-tier engineering, data science, and product teams.

• Inclusive and diverse workplace culture focused on innovation and continuous learning.

• Exposure to large-scale, real-world security and fraud challenges across global platforms. Flexible working model supporting autonomy and distributed team productivity.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Overview

Responsible AI in banking is not a constraint imposed from the outside, and it is not primarily about abstract ethics or headline-grabbing model safety debates. In a regulated financial institution, AI introduces risk across model performance, customer impact, regulatory compliance, legal obligations, privacy, cybersecurity, third-party dependency, operational resilience, data governance, and reputation. Managing those risks well is exactly what allows the bank to move forward with confidence — not despite governance, but because of it.

This role operates as a "1.5 Line of Defense" — a concept that is distinctive and important. The Applied Responsible AI Lead works between the 1st Line (data scientists, AI engineers, technology delivery teams, and business use case owners) and the 2nd Line (Model Risk Management, Compliance, Legal, Privacy, Fair and Responsible Banking, Information Security, and Enterprise Risk). The role is neither a rubber stamp nor a late-stage blocker. It is a partner that gets in early, asks the right questions, and helps teams design AI initiatives that are well-documented, well-controlled, and defensible from the start.

Think of this role as both a brake and a lever. The brake: applying structured challenge where a use case creates material risk or lacks adequate controls. The lever: building the frameworks, reusable patterns, evaluation approaches, and practical guidance that allow well-designed solutions to move efficiently from idea to implementation. The goal is not to slow AI down — it is to make sure the AI that moves forward is AI the bank can stand behind.

This is a senior professional individual contributor role. The successful candidate will independently lead complex governance workstreams, bring structured judgment to ambiguous and emerging questions, communicate clearly across technical and non-technical stakeholders, and help establish repeatable approaches that scale without losing rigor.

Responsibilities

Responsible AI Framework and Controls

• Support the design, operationalization, and continuous improvement of the bank's Responsible AI framework — including governance processes, control expectations, review pathways, documentation standards, and AI use case patterns — for both machine learning and generative AI solutions.

• Translate Responsible AI principles and evolving regulatory expectations (including SR 11-7 / SR 26-2, OCC guidance, and emerging GenAI-specific standards) into practical, implementable requirements for data scientists, engineers, business owners, platform teams, and vendors.

• Develop reusable risk assessment approaches, control mappings, AI pattern blueprints, evidence checklists, and monitoring expectations that promote consistency and scalability across the enterprise.

• Establish a proportionate, risk-tiered approach to governance that differentiates appropriately between lower-risk analytics, material AI/ML models, generative AI applications, and higher-risk customer-facing use cases — applying the right level of rigor to each without imposing uniform overhead across all.

Use Case Assessment and Delivery Enablement

• Partner with business and technology teams from early intake through solution design, implementation, testing, deployment, and post-production monitoring — identifying risks early and recommending practical, proportionate mitigations.

• Perform or support risk assessments and effective challenge for internally developed and third-party AI solutions across the use case spectrum: traditional AI/ML, generative AI, document intelligence, decision support, content generation, summarization, retrieval-augmented generation, and emerging AI applications.

• Evaluate whether proposed AI use cases have sufficiently clear business purpose, accountable ownership, human oversight provisions, appropriate data usage, adequate testing plans, defined controls, monitoring expectations, and the evidence needed to proceed through the appropriate governance pathway.

• Guide teams in documenting use cases, assumptions, limitations, controls, test outcomes, risk decisions, and implementation conditions in a manner that is clear to senior management, oversight partners, auditors, and regulators — not just the teams that built them.

Testing, Monitoring, and Technical Risk Assessment

• Help define fit-for-purpose evaluation and monitoring approaches for AI solutions, covering model performance, stability, explainability, fairness, robustness, human oversight effectiveness, data quality, and business outcome monitoring as appropriate to the use case.

• Design or guide evaluation approaches for generative AI solutions — including measures for groundedness and faithfulness, retrieval quality, task accuracy, harmful output risk, prompt and data-handling vulnerabilities, and human review adequacy.

• Review testing and monitoring evidence and communicate clearly where results support implementation, where limitations must be formally documented, or where remediation or additional controls are required before progression.

• Collaborate with Applied AI and platform teams to embed governance requirements, evaluation workflows, monitoring and observability, and control evidence into repeatable delivery processes and enabling technology rather than treating them as separate activities.

Risk Partner and Regulatory Readiness Collaboration

• Work with 1st line risk and 2nd line oversight partners — including Model Risk Management, Compliance, Legal, Privacy, Enterprise Risk, and Information Security — to align AI use case governance with the bank's broader risk and control framework.

• Support documentation, evidence collection, issue remediation, examination readiness, audit responses, and management reporting related to AI governance and responsible use.

• Contribute to policies, standards, procedures, training, and stakeholder communications that improve AI risk fluency and clarify responsibility for responsible AI delivery across the bank.

• Build trusted relationships and influence outcomes across business, technology, and risk teams without relying on direct authority — communicating risk clearly, understanding delivery pressures and constraints, and identifying practical paths forward.

Process Improvement and Team Contribution

• Identify opportunities to streamline and selectively automate AI intake, control mapping, evidence tracking, risk assessment, and ongoing monitoring activities — while preserving appropriate accountability and the quality of effective challenge.

• Bring intellectual curiosity and informed judgment to new AI capabilities, vendor offerings, and business proposals; help the bank distinguish meaningful innovation from unnecessary complexity or unmanaged risk.

• Contribute to a collaborative, high-accountability team culture and mentor business or technology stakeholders and less experienced practitioners through project work and shared learning.

WHAT SUCCESS LOOKS LIKE

• Responsible AI requirements are translated into clear, practical, and repeatable delivery expectations — understood by the teams building AI solutions, not just the teams reviewing them.

• High-value AI opportunities move efficiently through governance, with risks identified early, controls appropriately designed, and evidence ready for challenge and regulatory review.

• Business, technology, and risk partners view Enterprise AI as a trusted advisor that enables responsible adoption — not a checkpoint that sits at the end of the process and says no.

• The bank's posture on AI governance, monitoring, and control effectiveness is one it can confidently demonstrate to senior leadership, oversight functions, and regulators.

Qualifications

Bachelor's Degree and 6 years of experience in Data management, information technology, financial services, enterprise risk management, or related disciplines with leadership in AI/advanced analytics delivery. OR High School Diploma or GED and 10 years of experience in Data management, information technology, financial services, enterprise risk management, or related disciplines with leadership in AI/advanced analytics delivery.

PREFERRED QUALIFICATIONS AND SKILLS

• Experience with Responsible AI, AI risk management, model governance, or model validation in financial services or another regulated environment. Prior experience in a model validation, independent review, or first-line AI governance role is strongly preferred.

• Deep working knowledge of machine learning and generative AI lifecycle risks: use case intake and framing, solution evaluation, human oversight design, performance monitoring, third-party AI risk, privacy, explainability, fairness, and regulatory-grade documentation.

• Ability to interpret and operationalize model risk principles in emerging AI contexts — including the judgment required to apply SR 11-7 / SR 26-2 reasoning to generative AI use cases where model risk guidance does not directly prescribe an answer.

• Demonstrated ability to develop and implement generative AI evaluations and metrics, including fit-for-purpose measurement for solution quality, groundedness and faithfulness, retrieval performance, content safety, robustness, human oversight, and monitoring over time.

• Experience using or evaluating generative AI evaluation, monitoring, or observability tooling — such as Galileo, Fiddler AI, or comparable platforms — is a plus.

• Demonstrated ability to balance disciplined risk management with innovation enablement: designing proportionate governance approaches that maintain meaningful challenge and defensible evidence while enabling well-designed solutions to progress efficiently.

• Excellent stakeholder management, executive communication, and influencing-without-authority skills; experience navigating and driving change across business, technology, and risk partners in a complex organization is highly valued.

#LI-XG1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 6 years of experience in Data management, information technology, financial services, enterprise risk management, or related disciplines with leadership in AI/advanced analytics delivery. OR High School Diploma or GED and 10 years of experience in Data management, information technology, financial services, enterprise risk management, or related disciplines with leadership in AI/advanced analytics delivery.

PREFERRED QUALIFICATIONS AND SKILLS

• Experience with Responsible AI, AI risk management, model governance, or model validation in financial services or another regulated environment. Prior experience in a model validation, independent review, or first-line AI governance role is strongly preferred.

• Deep working knowledge of machine learning and generative AI lifecycle risks: use case intake and framing, solution evaluation, human oversight design, performance monitoring, third-party AI risk, privacy, explainability, fairness, and regulatory-grade documentation.

• Ability to interpret and operationalize model risk principles in emerging AI contexts — including the judgment required to apply SR 11-7 / SR 26-2 reasoning to generative AI use cases where model risk guidance does not directly prescribe an answer.

• Demonstrated ability to develop and implement generative AI evaluations and metrics, including fit-for-purpose measurement for solution quality, groundedness and faithfulness, retrieval performance, content safety, robustness, human oversight, and monitoring over time.

• Experience using or evaluating generative AI evaluation, monitoring, or observability tooling — such as Galileo, Fiddler AI, or comparable platforms — is a plus.

• Demonstrated ability to balance disciplined risk management with innovation enablement: designing proportionate governance approaches that maintain meaningful challenge and defensible evidence while enabling well-designed solutions to progress efficiently.

• Excellent stakeholder management, executive communication, and influencing-without-authority skills; experience navigating and driving change across business, technology, and risk partners in a complex organization is highly valued.

#LI-XG1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

Overview

We are seeking a highly skilled and innovative AI Solutions Architect to lead the design, development, and deployment of cutting-edge artificial intelligence solutions. This role requires a deep understanding of AI technologies, cloud platforms, and software development practices to create scalable and efficient AI systems that meet strategic business objectives. The ideal candidate will possess strong technical expertise across multiple programming languages, cloud services, and AI frameworks, with a proven track record of delivering complex solutions in dynamic environments.

Responsibilities

• Lead the architecture and implementation of AI-driven applications and systems, ensuring alignment with organizational goals.

• Collaborate with cross-functional teams including data scientists, software engineers, and product managers to develop scalable AI solutions.

• Design and optimize cloud-based AI infrastructure utilizing platforms such as AWS, Azure, and S3.

• Develop and maintain APIs using REST, HTTPS, and other protocols to facilitate seamless integration across various platforms.

• Implement containerization and orchestration strategies using Docker, Kubernetes, and Jenkins for continuous deployment pipelines.

• Utilize programming languages including Python, Java, C#, C++, Ruby on Rails, and JavaScript frameworks such as Angular, React, Ember.js, Backbone.js, Ext JS, and Kendo for front-end and back-end development.

• Manage databases including MySQL, Microsoft SQL Server, Oracle, NoSQL databases like MongoDB or Cassandra (NoSQL), PL/SQL, and Entity Framework for data storage solutions.

• Apply DevOps practices through tools like Git, SVN, Maven, Ansible, Shell Scripting (Bash), Jenkins, Kubernetes for automation and deployment efficiency.

• Design robust software architectures leveraging MVC frameworks such as ASP.NET MVC, Spring Framework, Struts; incorporate front-end technologies like HTML5, CSS3, Bootstrap for user interfaces.

• Integrate third-party services including Salesforce and WordPress where applicable to extend system capabilities.

• Ensure security best practices by implementing HTTPS protocols and other security measures across all applications.

• Stay current with emerging AI trends and technologies to continuously improve solution architecture.

Requirements

• Proven experience in software development with expertise in multiple programming languages such as Python, JavaScript (Angular, React), C#, C++, Ruby on Rails.

• Extensive knowledge of cloud computing platforms including AWS (S3), Azure (Kubernetes), and related DevOps tools like Docker, Jenkins.

• Strong understanding of database management systems including MySQL, Microsoft SQL Server (MS SQL), Oracle (PL/SQL), NoSQL databases.

• Hands-on experience with AI frameworks and tools such as Kafka for data streaming; JUnit for testing; Shell Scripting; XML; Application development best practices.

• Familiarity with front-end development technologies including HTML5, CSS3 (Bootstrap), Ember.js; experience with WordPress is a plus.

• Ability to design scalable RESTful APIs using HTTPS protocols; experience integrating third-party services like Salesforce is advantageous.

• Knowledge of container orchestration (Kubernetes), CI/CD pipelines (Jenkins), version control systems (Git/SVN).

• Strong problem-solving skills with the ability to architect complex AI solutions in a fast-paced environment.

• Excellent communication skills to collaborate effectively across multidisciplinary teams.

Pay: $115,000.00 per year

Benefits:

• Commuter benefits

• Extended health care

• Flexible schedule

• Life insurance

Work Location: In person

Job Summary

Job Description

At K&L Gates, we are looking for smart, imaginative and hard-working people with diverse backgrounds, experiences and ideas to join us. Perhaps our search for talented visionaries and your search for important and impactful work lead to the same place.

We are seeking a AI Program Manager to join the firm. The AI Program Manager leads critical technology initiatives, coordinating across engineering, data, security, and architecture teams with decision-making autonomy. This role translates business goals into actionable program plans, manages vendors, and ensures responsible AI governance at every milestone. Operating at the intersection of technical expertise and cross-functional leadership, this role advances data and AI objectives and drives aligned delivery. Reporting to Director of Enterprise Applications, Data, and AI Platforms, this senior individual contributor drives impactful delivery aligned with organizational priorities.

KEY RELATIONSHIPS

Director, Enterprise Applications, Data, and AI Platforms; Senior Manager, Automation and Development; Senior Manager, Data Engineering; Senior Manager, Enterprise Applications; Senior Applications Architect; Senior Data Architect; Team Lead, Workflow and Automation; Senior Security Architect; Senior Operations Architect; Security Engineer; Cloud Platform Engineer; Project Manager; Business Relationship Manager; Vendor and Partner Delivery Leads

Essential Duties

• Leading end-to-end planning and execution of complex technical programs spanning multiple engineering, data, security, and architecture teams.

• Translating business objectives into actionable technical plans and milestones by leading requirement sessions, documenting needs, and coordinating timelines, dependencies, and deliverables.

• Owning backlog governance and user story standards within Azure DevOps, ensuring Epics, Features, and Stories have consistent structure and traceability.

• Managing vendor relationships and third-party delivery accountability involving tracking SOW milestones, addressing escalations, and overseeing contract performance across technology engagements.

• Facilitating decision-making among stakeholders to address obstacles and trade-offs, ensuring accountability for meeting delivery commitments, timelines, and outcomes.

• Managing program visibility and tracking delivery in Azure DevOps, including work item organization, Delivery Plans, sprint velocity reports, and executive dashboard setup.

• Serving as an example for the Enterprise Applications team philosophy, promoting enterprise processes, procedures, security, standards, and knowledge-first support principles.

• Defining and overseeing testing strategies at the program level, including quality standards, user acceptance frameworks, and end-user validation processes.

• Establishing and maintaining program governance, reporting, and communication standards, including AI-specific checkpoints, while ensuring alignment with security, compliance, and enterprise technology standards.

• Identifying, tracking, and mitigating program risks, issues, and dependencies while enabling stakeholder decisions to address blockers and ensure delivery outcomes.

• Leveraging AI tools, contributing to AI-powered solutions, and adhering to governance standards, including responsible use, data classification, and model deployment review processes.

Experience & Skills Required

• Possess Bachelor's degree in Business Administration, Project Management, Communications, Computer Science, Engineering, or related fields or exhibit equivalent professional experience

• Demonstrate understanding of software development lifecycles and technical architectures, effectively evaluating technical risks and conveying impacts to senior stakeholders.

• Obtain or hold applicable professional certifications, such as PMP, PMI-ACP, or SAFe. Optional certifications include AZ-900, PL-900, or AI-900.

• Have familiarity with Microsoft AI Foundry, Microsoft Fabric, or similar enterprise AI and data platforms in regulated and compliance-driven industries.

• Support release windows and production support events while showcasing background in Business Administration, Project Management, Communications, Computer Science, Engineering, or related fields. Exhibit equivalent professional experience and hold relevant certifications.

• Demonstrate ability to manage cross-functional dependencies and stakeholder alignment across operations, engineering, data, security, and vendor teams.

• Demonstrate effective communication skills by translating business needs into program plans, visually presenting technical concepts, and collaborating across offices and time zones.

• Possess experience delivering programs within professional services, legal, or comparable sectors requiring strict confidentiality, governance, and adherence to compliance standards

• Bring over five years overseeing complex enterprise technical programs, including 2 years focused on AI, data platforms, or enterprise applications.

• Possess experience managing vendors, contractors, and third-party deliveries, including SOW oversight, escalation management, and contract performance accountability.

• Demonstrate experience applying AI-assisted tools in a professional engineering or enterprise technology environment.

• Demonstrate experience establishing and maintaining backlog structure, user story guidelines, and acceptance criteria within Azure DevOps or similar platforms. Apply Agile, hybrid, or scaled delivery methods to efficiently oversee enterprise programs and associated delivery activities.

Compensation Salary $128,000 - $249,000 / year

The compensation salary for this position will be determined during the interview process and will vary based on multiple factors, including but not limited to prior experience, relevant expertise, current business needs, and market factors.

In accordance with the Los Angeles Fair Chance Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act, qualified applicants for our Los Angeles and San Francisco offices with arrest and conviction records will be considered.

About The Firm

K&L Gates is a fully integrated global law firm with lawyers located across five continents in more than 40 offices. We have experienced dramatic growth in the past decade and now rank among the largest U.S. based law firms in the world. We take pride in constantly striving for innovation, imagination and an entrepreneurial spirit. We come up with big ideas and then roll up our sleeves to get the job done, guiding our clients through their most complex issues in a variety of industry sectors and across multiple regions of the world.

The industry recognition the firm has garnered emanates from the foundation of a global community aligned on behalf of our clients. The people at K&L Gates are committed to working together to create a legacy for each other, the firm, our clients, and the communities in which we serve. We thrive in an inclusive and socially conscious environment that embraces diversity and takes a holistic approach to the career evolution of all our professionals.

For more information or to view other job opportunities, please click here to go back to our careers page.

Notice: We participate in E-Verify in certain Firm locations for purposes of verifying employment eligibility.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Benefits

K&L Gates offers our personnel a comprehensive suite of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time personnel include:

• Medical/Prescription Drug Coverage (including a Health Savings Account feature)

• Back-up Child/Elder Care and access to a caregiving concierge

• Dental Insurance

• Wellness Program

• Vision Insurance

• Pre-tax Commuting Benefits

• 401(k) Retirement Plan and Profit Sharing

• Business Travel Accident Insurance

• Short- and Long-term Disability Protection

• Pet Insurance

• Life Insurance (including Basic, Supplemental, Spouse, Child, and Accidental Death and Dismemberment)

• Health Advocacy Services

• Paid Time Off (25-30 days per year)

• Identity Protection/Restoration and Fraud Insurance

• Parental Leave (18 weeks of which 6 are paid; short-term disability may provide additional paid time off)

• Student loan refinancing options and access to a student loan concierge service

• Paid Holidays (12)

• Addiction Resources

• Family Building Benefits

• Breast Milk Delivery and Lactation Support Services

• Flexible Spending Accounts

• Employees also may be eligible to receive bonuses and certain expense reimbursements

• Employee Assistance Program

• Professional Development and CLE Credit Opportunities

• 529 Deductions

• Relocation

• Accident Insurance

• Employee Referral Program

• Critical Illness Insurance

• Hybrid/Remote Work Opportunities

• Hospital Indemnity Insurance

• Perks including: Technology, Entertainment, and Travel Discount Programs

• Bereavement Leave

• All other benefits (such as leaves of absence) required by law

EQUAL EMPLOYMENT OPPORTUNITY

The Firm is an equal opportunity employer. It is the policy of the Firm that employment decisions shall be based on merit, qualifications and competence. Employment practices will not be influenced or affected by virtue of a person’s race (including traits associated with race, including hair texture and protective hairstyles such as afros, braids, locks, and twists), religion, creed, color, national origin, ancestry, citizenship, physical disability, mental disability, medical condition, genetic information, marital status, sex, pregnancy, childbirth, breastfeeding, gender, parental status, gender identity, gender expression, sexual orientation, age, familial status, domestic violence victim status, military and veteran status, or any other characteristic protected by applicable federal, state, or local law. This policy governs all aspects of employment including, without limitation, recruiting, hiring, compensation, benefits, promotion, assignment, and dismissal. In addition, it is the Firm’s policy to provide an environment that is free of prohibited harassment of any kind including, without limitation, that which is based on sex, race, age, disability, ethnic background, or any other category protected by law (including the categories listed above). The Firm complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If you require reasonable accommodation in completing this application, interviewing, or otherwise participating in the employee selection process, please contact askHR@klgates.com .

About us

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

This opening is on behalf of one of our clients, and we’ll work closely with you to make the process clear and straightforward.

Role overview

We are looking for Arabic-speaking AI Content Analysts to support evaluation of a new personalization capability within a leading AI assistant platform.

In this role, you will design realistic conversational prompts based on your own context and experiences, then rigorously evaluate how effectively the AI uses personal signals (such as prior conversations or activity context) to produce relevant, grounded, and helpful responses.

This position combines creative prompt design, analytical evaluation, and structured quality assessment, making it ideal for candidates with experience in AI evaluation, annotation, content review, or analytical research roles.

Responsibilities

• Design and run short multi-turn conversations (typically 1–5 turns) intended to test AI personalization behavior

• Create prompts grounded in realistic personal scenarios to evaluate contextual understanding

• Review AI responses to determine whether personalization is correctly applied

• Check grounding quality to ensure the model does not invent unsupported claims about the user

• Evaluate integration quality — confirming personal signals are used naturally (not forced or robotic)

• Compare two responses side-by-side and determine which is more helpful, natural, and relevant

• Write clear, structured rationales explaining rankings and referencing specific conversation turns

• Verify debug information showing whether correct data sources were used

• Maintain strict workflow hygiene (including deleting evaluation conversations when required)

Notes

The role is 100% remote. Preferred countries: Egypt, Ghana, Nigeria, Saudi Arabia

30-40 hours/week commitment. Paid by hours logged and approved.

Contracting model

Duration: 2 months+

Requirements

• Strong Arabic proficiency (reading & writing required) — Arabic is the primary evaluation language

• BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field)

• Strong analytical thinking and ability to assess nuanced AI outputs

• Excellent written communication skills with ability to produce structured evaluation notes

• High attention to detail when comparing similar responses

• Ability to work independently in a fully remote environment

• Reliable desktop/laptop and stable internet connection

• Willingness to use your primary personal Google account and enable personal data sources for evaluation purposes

About Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We are seeking fluent Marathi speakers to act as evaluators. AI models are now learning to communicate with human-like nuance, and we need fluent speakers to ensure these models understand the depth and nuance of the Marathi language.

You will be completing side-by-side evaluations of both text and voice snippets, assessing how naturally and authentically the AI captures Marathi speech. This includes listening to audio clips and identifying how natural the voice sounds. This is a fast-paced project where your ear for detail directly influences how AI understands human language.

Researchers looking for your skills tend to pay between $20-26/hr. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you’ll bring

• Thai language fluency: you must be a fluent Marathi speaker with a strong command of natural, everyday Marathi

• Linguistic nuance: an ability to distinguish subtle differences in accent, tone, and vocal delivery

• Communication: fluent English skills for instruction following and reporting

• Soft skills: high attention to detail; backgrounds in linguistics or translation are a plus

• Technical setup: access to a quiet environment and good quality headphones/ speakers

• A PayPal account to receive payment from our clients

What you’ll be doing in the role

• Side-by-side evaluation: comparing text and voice snippets to assess quality and authenticity

• Naturalness assessment: listening to AI-generated audio and rating how natural the voice sounds

• Quality control: identifying where the AI's tone or pronunciation feels unnatural or culturally mismatched

• Contextual review: identifying whether intonation matches the cultural context of the conversation

• Data tagging: providing feedback on the naturalness, tone, and authenticity of the audio

Why Prolific is a great platform to join as a Participant

Joining our Expert Network will give you the chance to influence the AI models of the future using your professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

Links to more information on Prolific

Website

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

About GenScript

GenScript Biotech Corporation (Stock Code: 1548.HK) is a global biotechnology group. Founded in 2002, GenScript has an established global presence across North America, Europe, the Greater China, and Asia Pacific. GenScript's businesses encompass four major categories based on its leading gene synthesis technology, including operation as a Life Science CRO, enzyme and synthetic biology products, biologics development and manufacturing, and cell therapy.

GenScript is committed to striving towards its vision of being the most reliable biotech company in the world to make humans and nature healthier through biotechnology.

Position: Senior Scientist in AI & Big Data Center

Location: Malaysia(Remote)/ Nanjing, China(Onsite)

Role & Responsibilities

• Be responsible for bioinformatics projects;

• Develop the web-based tools or standalone tools for synthetic biology, protein engineering and antibody engineering;

• Develop algorithms to assist customers in solving technical barriers;

• Data mining (including deep learning) and analysis on synthesis related data;

Qualifications

• PhD Degree in bioinformatics or deep learning, with at least three years of experience in algorithm/model development;

• Knowledgeable in the field of molecularbiology or protein;

• Proficiency in Python/Java/C++.

• Proficiency in Pytorch/Tensorflow.

• Preferable if the candidate has experience in natural language processing and large language model.

• Preferable if the candidate has experience in pre-trained language models and generative AI;

• Preferable if the candidate has experience in algorithm, software and pipeline development;

• Proactively participating in collaborative and innovative projects;

• Having a keen sense of responsibility, self-motivation, and good communication and teamwork skills.

#GS

#LI-CT1

#LI-Onsite

GenScript USA Inc/ProBio Inc. is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is the Company's policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law.

GenScript USA Inc./ProBio Inc. maintains a drug-free workplace.

Please note: Genscript USA Inc./ProBio Inc. will only contact candidates through verified application sources. GenScript/Probio does not request personal information from candidates through individual email or any other platform.

ABOUT SIRIUSAI

SiriusAI is an AI-native company purpose-built for Financial Services. We help the world’s leading banks, payments networks, fintechs, and capital markets firms deploy Generative AI, Agentic AI, and ML into production not as future aspiration, but as operating reality. Our Forward Deployed Engineering model means senior AI practitioners embed directly with clients, co-building AI systems and delivering measurable business outcomes at startup speed with enterprise-grade rigor.

THE ROLE

We are looking for a rare combination: a deep AI practitioner, strategic thinker, and enterprise change agent. You will be SiriusAI’s senior AI voice in client engagements- leading transformation programs from vision through production deployment across GenAI, Agentic AI, and ML systems applied to Financial Services use cases including fraud detection, AML, credit risk, payments intelligence, and customer experience. You will be equally comfortable whiteboarding agentic architectures with a CDO as reviewing production deployment plans with an engineering team.

WHAT YOU WILL DO

AI Transformation Leadership

• Lead end-to-end AI transformation programs from opportunity framing and AI roadmap design through deployment and value realization.

• Drive executive-level AI strategy conversations (GenAI adoption, agentic workflows) with C-suite stakeholders; facilitate discovery sprints and AI readiness workshops.

• Develop business cases connecting AI capabilities to measurable financial and operational outcomes; guide multi-year client AI adoption journeys.

Solution Architecture & Delivery

• Efficiently coordinate with Solution Leads to fine-tune and align AI solution designs - spanning GenAI apps, Agentic pipelines, RAG systems, fine-tuned LLMs, and production ML - ensuring fit with FS regulatory and risk requirements.

• Partner closely with Solution Leads and cross-functional teams (AI engineers, data scientists, ML platform engineers) to drive production-ready, scalable, and compliant deployment of AI solutions at client sites.

Growth & Team

• Identify account expansion opportunities; lead technical scoping, ROI modeling, and solution framing for new engagements.

• Develop thought leadership and represent SiriusAI at Financial Services AI conferences and industry forums.

• Mentor and lead on-site AI deployment teams at client organizations; build AI playbooks, delivery methodologies, and reusable IP accelerators.

WHAT YOU BRING

Required

• 8 to 15 years across AI/ML, data science, or enterprise digital transformation - with substantial time in senior, client-facing delivery roles.

• Deep hands-on command of Generative AI (LLMs, RAG, fine-tuning) and Agentic AI (multi-agent orchestration, tool-use, workflow automation).

• Proven track record leading complex AI transformation programs at large enterprises from strategy through production.

• Equally credible with C-suite on AI strategy and with engineering teams on technical architecture and delivery.

• Exceptional communication and executive storytelling - making complex AI accessible to diverse stakeholders.

Strongly Preferred

• Deep FS domain expertise (banking, payments, capital markets, fintech) with hands-on AI application to AML, fraud, credit risk, or payments.

• Familiarity with Financial Services regulatory landscape: Risk & Regulatory, Explainability etc.

• Background at an AI-native company, enterprise AI lab, or as a senior AI/engineering leader within a Financial Services firm.

• Strong technical foundation in AI/ML - demonstrated through hands-on work, published projects, or equivalent practical expertise.

HOW SUCCESS IS MEASURED

• Revenue growth and expansion of AI transformation programs within managed accounts.

• Production deployment of AI systems with measurable client-reported business impact.

• Development and retention of high-performing Forward Deployed Engineering talent.

• Creation of reusable SiriusAI accelerators, AI frameworks, and proprietary IP.

SiriusAI is an equal opportunity employer committed to building a diverse, inclusive team.

AI enginner- LLM/ RAG/ MLOps/ AI agent

Full Description

Qualifications & Skills:

Zero to AI Engineer