Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Location

Seattle WA

Your Role

Capgemini is seeking a senior AI leader to help scale its Seattle-based AI & Analytics team and support a growing portfolio of strategic engagements and pursuits across Microsoft and other major local accounts. This is not a traditional individual-contributor Data Scientist role. The position combines enterprise AI architecture, hands-on technical credibility, client delivery, business development, account collaboration, and people leadership.

The successful candidate will operate as a trusted partner to clients, Capgemini account teams, Insights & Data go-to-market leaders, and AI&A leadership. The role will help shape opportunities, mobilize delivery teams, guide enterprise-grade AI solutions from idea through production, and mentor a growing team of early-career and experienced practitioners.

Expand Capgemini’s AI presence in the Seattle market by connecting technical capability to credible client opportunities and measurable business outcomes.
Provide day-to-day leadership capacity for the Seattle AI&A team, including staffing, coaching, skills development, quality oversight, and team engagement.
Convert AI concepts and prototypes into secure, governed, production-ready solutions and reusable enterprise capabilities.
Build strong working relationships across clients, account teams, go-to-market leaders, partners, and AI&A leadership while maintaining clear ownership and follow-through.
Balance hands-on technical depth with practical consulting judgment, commercial awareness, and delivery realism.

Lead discovery and executive working sessions to frame business problems, prioritize AI use cases, define value hypotheses, and create phased transformation roadmaps.
Architect enterprise AI solutions spanning predictive AI, Generative AI, intelligent applications, Agentic AI, conversational and multimodal experiences, and AI-assisted software engineering.
Design platform capabilities such as model and agent gateways, orchestration, tool and API integration, data and semantic layers, identity and access, evaluation, observability, FinOps, and lifecycle management.
Establish practical governance-by-design patterns covering Responsible AI, security, privacy, human oversight, agent identity and authorization, traceability, auditability, testing, and runtime controls.
Guide cloud and platform choices across Azure and Microsoft technologies, while remaining credible across AWS, GCP, Databricks, Snowflake, and relevant partner ecosystems.

Provide architecture and engineering leadership from pursuit and proof of value through production deployment, adoption, and operational support.
Remain sufficiently hands-on to review code, prototypes, prompts, agent workflows, APIs, retrieval pipelines, data flows, evaluations, deployment patterns, and technical trade-offs.
Lead or support Forward Deployment Engineer / Hyper Velocity Engineering-style engagements requiring close client collaboration, rapid iteration, and ownership of business outcomes.
Define engineering standards for reliability, security, testing, CI/CD, LLMOps/MLOps, monitoring, incident response, and production readiness.
Identify delivery risks early, shape realistic staffing and work plans, and ensure quality across mixed onshore, nearshore, and offshore teams.

Required Skills and Experience

10+ years of experience in technology consulting, enterprise architecture, data/AI, software engineering, product management, product engineering, or related fields, including meaningful leadership responsibility.
Demonstrated experience shaping and delivering enterprise AI solutions beyond experimentation, including GenAI and/or Agentic AI solutions integrated with business processes and systems.
Strong architecture knowledge across applications, APIs, data, cloud, security, integration, identity, deployment, and operations.
Hands-on working knowledge of Python and SQL, plus the ability to review modern AI application code, notebooks, API integrations, source repositories, and deployment configurations.
Experience with LLM application patterns such as RAG, agent and tool orchestration, function calling, structured outputs, evaluation, guardrails, prompt and context engineering, and human-in-the-loop workflows.
Experience with cloud AI services and modern data platforms. Strong Azure/Microsoft experience is preferred; credible AWS, GCP, Databricks, or Snowflake experience is also valuable.
Experience leading client-facing consulting engagements, solution architecture, technical delivery, or transformation programs involving senior business and technology stakeholders.
Business development experience including opportunity shaping, proposal development, estimation, executive storytelling, workshops, demonstrations, or RFP responses.
People-management or sustained team-lead experience, with evidence of mentoring, coaching, staffing, developing, and caring for team members.
Excellent written and verbal communication, structured problem solving, executive presence, and ability to explain technical trade-offs to non-technical audiences.
Ability to work regularly from the Bellevue/Seattle area and engage at local client sites when needed.
Experience with Azure AI Foundry, Azure OpenAI, Microsoft Copilot Studio, Microsoft Fabric, Azure AI Search, Azure API Management, Microsoft Entra, Azure DevOps, GitHub, and Microsoft-aligned agent or application platforms.
Experience with frameworks and protocols such as MCP, agent-to-agent integration, LangGraph, LangChain, AutoGen, or equivalent orchestration technologies.
Knowledge of LLMOps/MLOps, model and agent evaluation, observability, red teaming, content safety, AI security, cost optimization, and production operations.
Experience designing enterprise AI platforms, AI control planes, model/agent gateways, reusable agent services, semantic layers, knowledge platforms, or governed self-service capabilities.
Experience in one or more locally relevant industries such as technology, retail/consumer products, telecommunications, aerospace/manufacturing, travel/hospitality, or utilities.
Relevant cloud, architecture, data, AI, security, or Microsoft certifications. Forward-deployed engineering, HVE/FTE, or similar client-proximate delivery experience is a plus

Education

Bachelor’s degree Computer Science, Engineering, Data Science, Artificial Intelligence, Information Systems, or a related discipline, or equivalent professional experience. An advanced technical or business degree is a plus.

The base compensation range for this role in the posted location is $109,180 to $197,175

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Capgemini

AI Transformation & Delivery Manager

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Capgemini

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