Technical Program Manager (TPM) - AI

Location This is a hybrid role based in Irving, TX. About the Job You're Considering 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. Your Skills and Experience • 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. #LI-SD1 The base compensation range for this role in the posted location is $109,180 to $197,175 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