AI Transformation & Delivery Manager

Capgemini • Seattle, WA

1d • $109,180 - $197,175 • Onsite

About The Position

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

The successful candidate will serve as a trusted partner to clients, Capgemini account teams, Insights & Data go-to-market leaders, and AI&A leadership. The role shapes opportunities, mobilizes delivery teams, guides enterprise-grade AI solutions from idea through production, and mentors practitioners at different career stages. The position is based in the Seattle area, with regular work from Bellevue/Seattle and engagement at local client sites as needed.

Requirements

• At least 10 years of experience in technology consulting, enterprise architecture, data/AI, software engineering, product management, product engineering, or a related field, 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 and 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.
• 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.
• Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Information Systems, or a related discipline, or equivalent professional experience.

Nice To Haves

• Strong Azure/Microsoft experience; credible experience with AWS, GCP, Databricks, or Snowflake is also valuable.
• 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 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 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.
• An advanced technical or business degree.

Responsibilities

• Expand Capgemini’s AI presence in the Seattle market by connecting technical capabilities to client opportunities and measurable business outcomes.
• Provide day-to-day leadership 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 working relationships across clients, account teams, go-to-market leaders, partners, and AI&A leadership, maintaining ownership and follow-through.
• 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 including model and agent gateways, orchestration, tool and API integration, data and semantic layers, identity and access, evaluation, observability, FinOps, and lifecycle management.
• Establish governance-by-design patterns for 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 maintaining credibility across AWS, GCP, Databricks, Snowflake, and partner ecosystems.
• Provide architecture and engineering leadership from pursuit and proof of value through production deployment, adoption, and operational support.
• Review code, prototypes, prompts, agent workflows, APIs, retrieval pipelines, data flows, evaluations, deployment patterns, and technical trade-offs as needed.
• Lead or support Forward Deployment Engineer / Hyper Velocity Engineering-style engagements involving 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, shape realistic staffing and work plans, and ensure quality across onshore, nearshore, and offshore teams.
• Shape business development opportunities through proposal development, estimation, executive storytelling, workshops, demonstrations, and RFP responses.
• Mentor, coach, staff, develop, and support team members.

Benefits

• Paid time off, including 12–25 vacation days depending on employee grade, company-paid holidays, personal days, and sick leave, based on policy.
• Medical, dental, and vision coverage, subject to local policy and eligibility.
• Retirement savings plans, such as a 401(k) in the U.S., subject to local policy and eligibility.
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior