Technical Program Manager (TPM) - AI
About The Position
Capgemini is seeking a Technical Program Manager to lead a portfolio of enterprise AI Native and Generative AI initiatives. The role drives large-scale AI programs from concept through production, partnering with engineering, architecture, product, data science, and business teams. The position is based in Irving, Texas, and is hybrid. The TPM leads delivery across AI workstreams, establishes program governance, manages dependencies, risks, roadmaps, budgets, and executive communications, and oversees technical quality and production readiness. The role also supports enterprise AI adoption by coordinating Agile execution, tracking business outcomes, and advancing model deployment and operational practices. The posted base compensation range is $109,180 to $197,175. Regular full-time employees may receive a benefits package according to local policy and eligibility. Listed benefits may include paid time off, company holidays, personal days, sick leave, medical, dental, and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs.
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.
- Hands-on experience with Generative AI, Large Language Models (LLMs), RAG, 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 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 with 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, including vacation of 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, such as a 401(k) in the U.S. or RRSP in Canada, subject to local policy and eligibility.
- Life and disability insurance, subject to local policy and eligibility.
- Employee assistance programs, subject to local policy and eligibility.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
