Technical deployment lead

Capgemini • Chicago, IL

7d • $117,930 - $223,591 • Onsite

About The Position

Capgemini is hiring a Delivery Lead – Agentic AI to lead the vision, strategy, and delivery of Generative AI and Agentic AI solutions for business transformation. The role bridges business stakeholders and technical delivery teams, translating strategic objectives into scalable AI-powered products and services. The successful candidate will apply product management expertise and AI knowledge while collaborating with clients, business leaders, architects, data scientists, engineers, and delivery teams to create measurable business value.

The role involves owning product vision, roadmaps, and strategy; managing backlogs and prioritizing features; leading product development from ideation and discovery through deployment and enhancement; and evaluating market opportunities, emerging technologies, and industry trends. The position is based in Chicago, Atlanta, or New York. The posted base compensation range is $117,930–$223,591, with possible additional variable incentives, bonuses, or commissions. Capgemini describes its benefits package for regular, full-time employees as comprehensive and non-negotiable, subject to local policy and eligibility.

Requirements

• 8+ years of experience in Product Management, Product Ownership, or Technical Product Management.
• Proven track record of delivering enterprise-scale Generative AI and Agentic AI solutions.
• Experience leading cross-functional teams in complex technology environments.
• Strong consulting and client-facing experience, including the ability to influence executive stakeholders.
• Deep understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings and vector search technologies, AI agents and multi-agent architectures, tool calling and agent orchestration frameworks, prompt engineering, AI evaluation, observability and guardrails, API-driven architectures and enterprise system integrations, and cloud-native solution design.
• Hands-on experience with one or more of Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
• Experience with Agile/Scrum methodologies, product lifecycle management, enterprise architecture patterns, data and analytics platforms, and AI/ML development workflows.
• Strong stakeholder management and relationship-building capabilities.
• Exceptional verbal and written communication skills.
• Strategic thinking, analytical and problem-solving abilities, and the ability to influence decisions across business and technology teams.
• Strong facilitation, consulting, and leadership skills.
• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Business, or a related discipline; equivalent professional experience will also be considered.

Nice To Haves

• Master's degree or relevant AI/Product Management certifications.
• Experience implementing AI governance frameworks and Responsible AI practices.
• Exposure to AI product commercialization and go-to-market strategies.
• Certifications in Product Management, Agile, Azure, AWS, GCP, or AI technologies.
• Experience working in large enterprise consulting environments.

Responsibilities

• Define, own, and execute the product vision, roadmap, and strategy for Agentic AI and Generative AI products.
• Manage product backlogs, prioritize features, and align delivery plans with business objectives.
• Lead product development across the full lifecycle, from ideation, discovery, and MVP definition through deployment and continuous enhancement.
• Identify and evaluate market opportunities, emerging technologies, and industry trends to shape product direction and innovation.
• Work with clients, business leaders, architects, data scientists, engineers, and delivery teams to define and deliver AI-driven solutions.

Benefits

• Paid vacation (12–25 days depending on employee grade), company-paid holidays, personal days, and sick leave, subject to policy.
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada), subject to local policy and eligibility.
• Retirement savings plans, including 401(k) in the U.S. and RRSP in Canada, subject to local policy and eligibility.
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.
• The role may be eligible for variable incentives, bonuses, or commissions, depending on the position and applicable laws.

What This Job Offers

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