AI Transformation & Delivery Manager

# AI Transformation & Delivery Manager Seattle Apply  for this job
* Permanent* Experienced Professionals
* Data & AI
* -en _GBChoosing 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, Fin Ops, 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,…