Technical Program Manager (TPM) - AI

Capgemini • Irving, TX

6d • $109,180 - $197,175 • Hybrid

About The Position

Capgemini is seeking a Technical Program Manager to lead a portfolio of enterprise AI Native and Generative AI initiatives. This hands-on leadership role drives large-scale AI programs from concept through production, partnering with engineering, architecture, product, data science, and business teams. It combines technical expertise in LLMs, RAG, Agentic AI, and AI implementation frameworks with program leadership and stakeholder management.

The role is hybrid and based in Irving, Texas. The position is responsible for end-to-end delivery of AI workstreams, program governance, quality frameworks, LLMOps and MLOps practices, and measurement of business outcomes. The base compensation range is $109,180 to $197,175. Eligible compensation may also include variable incentives, bonuses, or commissions. Capgemini provides a benefits package to regular, full-time employees; availability is subject to local policy and eligibility.

Requirements

• At least 10 years of experience in Technical Program Management, Software Delivery, Digital Transformation, or Enterprise Technology Programs.
• 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.
• Expertise in Context Engineering, Prompt Engineering, and semantic search architectures.
• Experience with Vector Databases, embeddings, retrieval systems, and enterprise knowledge platforms.
• 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.
• Knowledge of Azure AI, Azure OpenAI, cloud-native architectures, APIs, and enterprise integration patterns.
• Understanding of AI governance, responsible AI practices, security, compliance, and risk management.
• Executive stakeholder management, communication, presentation, and leadership skills.
• Experience working in Agile, Scrum, or SAFe delivery environments.
• Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field.

Nice To Haves

• PMP, SAFe, Agile, Cloud, or AI-related certifications.

Responsibilities

• 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 and 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.

Benefits

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

What This Job Offers

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