Technical Program Manager (TPM) – AI Native Programs

Capgemini; Dallas (TX); In loco; USD 54.000 - 85.000; Part-time

Descrizione del lavoro

Capgemini is seeking a hands-on Technical Program Manager to lead a portfolio of enterprise AI Native and GenAI initiatives. You will manage 10+ workstreams, drive RAG/Agentic AI solutions, and establish governance across Architecture, Engineering, Product, and Data Science teams.

The role emphasizes technical depth in modern AI architectures, with a focus on production-grade implementations, observability, and ROI measurement. This is a contract opportunity through Tundra Technical Solutions.

Competenze

• 8–12+ years in technical program management with AI/GenAI delivery.
• Experience leading AI/GenAI at scale in production.
• Strong Azure AI/OpenAI and cloud-native architectures.
• Excellent executive stakeholder management and communication.

Mansioni

• Lead end-to-end delivery of 10+ AI/GenAI workstreams, aligned with business objectives and tech strategy.
• Drive execution of AI-native applications including RAG, Agentic AI, Context Engineering, Prompt Engineering, and LLM-based solutions.
• Establish program governance, manage dependencies, risks, roadmaps, and executive reporting.
• Partner with Architecture, Engineering, Product, Data Science, and Business teams 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/MLOps, observability, performance monitoring, cost optimization, and responsible AI practices.
• Measure and communicate business outcomes including adoption, productivity gains, model performance, and ROI.

Conoscenze

Technical PM

GenAI programs

Executive leadership

Stakeholder mgmt

Azure/OpenAI

RAG/Agentic AI

LLMOps/MLOps

Vector databases

Cost monitoring

Descrizione del lavoro

Technical Program Manager (TPM) – AI Native Programs (Contract)

Contract (5 months 8 days)

MLOps/LLMOps

PMP certifications

Cloud certifications

technical program management

Program Governance

We are seeking a hands-on Technical Program Manager to lead a portfolio of enterprise AI Native and Generative AI initiatives. The ideal candidate has deep experience delivering production-grade GenAI solutions, driving complex cross-functional programs, and influencing engineering and business leadership. This is not a traditional PM role; candidates must demonstrate strong technical depth in modern AI architectures and real-world implementation experience.

Key Responsibilities:

Lead end-to-end delivery of 10+ AI/GenAI workstreams, ensuring alignment with business objectives and technology strategy.

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

Establish program governance, manage dependencies, risks, roadmaps, and executive reporting.

Partner with Architecture, Engineering, Product, Data Science, and Business teams 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/MLOps, observability, performance monitoring, cost optimization, and responsible AI practices.

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

Must have Skills (Mandatory):

8-12+ years in technical program management, with recent experience leading AI/GenAI programs at scale.

RAG (Retrieval-Augmented Generation)

Agentic AI / AI Agents

Vector Databases and Semantic Search

LLMOps / MLOps

Strong understanding of Azure AI/OpenAI ecosystem, cloud-native architectures, APIs, and enterprise integration patterns.

Demonstrated ability to challenge architecture decisions, review technical designs, and drive engineering teams toward production-grade AI implementations.

Excellent executive stakeholder management, communication, and leadership skills.

Preferred:

Telecom industry experience, ideally in customer care, operations, network, or digital transformation programs.

PMP, SAFe, Agile, or cloud certifications.

Note:

We are specifically looking for candidates who have successfully delivered enterprise-scale GenAI solutions in production, not merely managed AI projects from a reporting or coordination standpoint.

The pay range that the employer in good faith reasonably expects to pay for this position is $39.30/hour - $61.40/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.