Technical deployment lead

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

Chicago IL, Atlanta GA, New York NY

Your Role

Capgemini is seeking a highly experienced Delivery Lead - Agentic AI to lead the vision, strategy, and delivery of cutting-edge Generative AI and Agentic AI solutions that drive business transformation. This role serves as the critical bridge between business stakeholders and technical delivery teams, translating strategic objectives into scalable AI-powered products and services.

The ideal candidate will combine deep product management expertise with strong knowledge of AI technologies, stakeholder engagement, and enterprise transformation. You will work closely with clients, business leaders, architects, data scientists, engineers, and delivery teams to define and deliver innovative AI-driven solutions that create measurable business value.

Key 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 entire 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.

Requird Skills and Expereince

• •8+ years of experience in Product Management, Product Ownership, or Technical Product Management.
• •Proven track record of successfully delivering enterprise-scale Generative AI and Agentic AI solutions.
• •Experience leading cross-functional teams in complex technology environments.
• •Strong consulting and client-facing experience with 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 Techniques
• •AI Evaluation, Observability, and Guardrails
• •API-driven architectures and enterprise system integrations
• •Cloud-native solution design

Cloud & Technology Platforms

Hands-on experience with one or more cloud platforms:

• •Microsoft Azure
• •Amazon Web Services (AWS)
• •Google Cloud Platform (GCP)

Experience with:

• •Agile/Scrum methodologies
• •Product lifecycle management
• •Enterprise architecture patterns
• •Data and analytics platforms
• •AI/ML development workflows

Soft Skills

• •Strong stakeholder management and relationship-building capabilities.
• •Exceptional verbal and written communication skills.
• •Strategic thinking with strong analytical and problem-solving abilities.
• •Ability to influence decisions across business and technology teams.
• •Strong facilitation, consulting, and leadership skills.

Education

• •Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Business, or a related discipline.
• •Master's degree or relevant AI/Product Management certifications preferred.
• •Equivalent professional experience will also be considered.

Preferred Qualifications

• •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.

Ideal Candidate Profile

The ideal candidate is a senior product leader with a strong blend of product strategy, AI domain expertise, consulting experience, and stakeholder management skills . They possess hands-on knowledge of modern AI technologies and can effectively translate emerging innovations into scalable, business-focused solutions. This individual excels at collaborating across diverse teams, engaging clients, and driving measurable outcomes through AI-powered products and platforms.

The base compensation range for this role in the posted location is $ 117,930 to $223,591

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 provid