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# Technical Program Manager (TPM) - AI

- **Company:** Capgemini
- **Location:** Irving, TX, United States
- **Experience:** Expert
- **Salary:** $109,180.0 - $197,175.0
- **Contract:** Permanent contract
- **Skills:** AI Evaluation, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Automated Storage and Retrieval Systems, Microsoft Azure, Mobile Application Development, Cloud Computing, Cloud Engineering, Scrum Methodology, OpenAI, Search Technologies, Software Deployment, Enterprise Application Integration, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Hallucination Detection, Model Validation, Generative AI, Agentic-AI, Information Technology, Performance Monitor, Machine Learning Operations, Azure AI
- **Published:** October 30, 2026
- **Apply:** https://www.capgemini.com/jobs/576872-en_US_SAPBTP/x/

## About the Role

* At least 10+ years of experience in Technical Program Management, Software Delivery, Digital Transformation, or Enterprise Technology Programs.

 * Proven recent experience leading large-scale AI/GenAI programs from strategy through production deployment.

 * Strong hands-on experience with Generative AI, Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), and Agentic AI solutions.

 * Experience designing and delivering AI Agents, autonomous workflows, and AI-native applications.

 * Strong expertise in Context Engineering, Prompt Engineering, and semantic search architectures.

 * Experience with Vector Databases, embeddings, retrieval systems, and enterprise knowledge platforms.

 * Strong understanding of LLMOps, MLOps, AI observability, performance monitoring, and model lifecycle management.

 * Experience implementing AI evaluation frameworks, benchmark testing, model validation, and hallucination reduction strategies.

 * Strong knowledge of Azure AI, Azure OpenAI, cloud-native architectures, APIs, and enterprise integration patterns.

 * Strong understanding of AI governance, responsible AI practices, security, compliance, and risk management.

 * Excellent executive stakeholder management, communication, presentation, and leadership skills.

 * Experience working in Agile, Scrum, or SAFe delivery environments.

 * PMP, SAFe, Agile, Cloud, or AI-related certifications are preferred.

 * Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field.

## Description

Capgemini is seeking a Technical Program Manager (TPM) - AI Native Programs to lead a portfolio of enterprise AI Native and Generative AI initiatives. This role requires a hands-on leader who can drive large-scale AI programs from concept through production while partnering with engineering, architecture, product, data science, and business teams. The ideal candidate brings strong technical expertise in LLMs, RAG, Agentic AI, and AI implementation frameworks, combined with exceptional program leadership and stakeholder management capabilities.

Your Role

 * Lead end-to-end delivery of multiple AI Native and Generative AI workstreams aligned to business and technology objectives.

 * Drive execution of AI-powered solutions including RAG, Agentic AI, Context Engineering, Prompt Engineering, and LLM-based applications.

 * Establish program governance, manage dependencies, risks, roadmaps, budgets, and executive communications.

 * Partner with Architecture, Engineering, Product, Data Science, and business stakeholders to deliver scalable AI solutions.

 * Define and govern AI quality frameworks including evaluation harnesses, benchmark testing, gold datasets, hallucination reduction, and continuous validation.

 * Drive adoption of LLMOps and MLOps practices for model deployment, monitoring, observability, and optimization.

 * Measure and communicate business outcomes including adoption, productivity improvements, model performance, and ROI.

 * Review technical designs and architecture decisions to ensure production-grade AI implementations.

 * Drive Agile program execution, release planning, and continuous improvement initiatives.

 * Collaborate with teams to accelerate enterprise AI adoption and innovation.