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# Technical deployment lead

- **Company:** Capgemini
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $117,930.0 - $223,591.0
- **Contract:** Permanent contract
- **Skills:** AI Evaluation, Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Information Systems, Machine Learning, Scrum Methodology, Software Product Management, Search Technologies, Google Cloud, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Agentic-AI, Information Technology, Data Analytics, Api Design
- **Published:** October 31, 2026
- **Apply:** https://www.capgemini.com/jobs/557750-en_GB_SAPBTP/x/

## About the Role

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., * 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, * 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., * 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., * 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., 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.

## Description

* 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.