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Technical Program Manager Experience with Production GenAI/RAG Delivery

W3GlobalChicago, IL🇺🇸United StatesPosted 27 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
Chicago, IL, United States
Posted
Yesterday
AWSScrumAzureGenerative AI

Job Description

Title: Technical Program Manager (TPM)

Location: Remote (USA)

TPM + Production GenAI/RAG Delivery + Azure

One-Line Summary

Looking for a senior AI-focused Technical Program Manager who has successfully delivered GenAI/RAG platforms at enterprise scale and can drive cross-functional execution, architecture governance, and executive-level programme delivery.

Role Overview

Looking a senior Technical Program Manager (TPM) to lead the delivery of AI-native platforms and digital products. This is a highly execution-focused role responsible for driving end-to-end programme delivery across Product, Engineering, AI/ML, Data, Cloud, Security, Privacy and Governance teams.

This is not a traditional Project Manager or Scrum Master role. The client is looking for a technically strong TPM who can manage complex AI platform initiatives, remove delivery blockers, drive architectural alignment, and successfully deliver products from concept through production.

Mandatory Requirements

Technical Program Management

8+ years of TPM / Program Management experience

Experience managing complex enterprise platforms

Critical path planning and milestone management

Managing 10+ concurrent dependencies/workstreams

RAID management and decision governance

Release readiness and go-live ownership

Executive stakeholder communication

AI Platform Delivery

Candidates must demonstrate hands-on experience with:

Generative AI solutions

RAG (Retrieval Augmented Generation) implementations

AI/ML product delivery

AI governance and Responsible AI practices

Human-in-the-loop workflows

Model evaluation and monitoring

Technical Depth

Strong understanding of:

Microsoft Azure

DevOps / CI-CD

APIs and integrations

Data platforms

Cloud infrastructure

Architecture governance

Security and RBAC models

Strong Candidate Indicators

? Delivered GenAI/RAG solutions into production

? Led AI platform initiatives from concept to deployment

? Worked with Azure OpenAI, Azure AI Foundry, AWS Bedrock, Vertex AI, Anthropic, etc.

? Managed Product, Engineering, Data, Security and Architecture stakeholders

? Presented programme updates to senior leadership and steering committees

? Drove release governance and architecture reviews

? Experience working in consulting, professional services or enterprise digital transformation environments

Knockout Factors

Candidates are unlikely to progress if they:

Are primarily Scrum Masters or Project Coordinators

Lack hands-on GenAI or RAG delivery experience

Have limited technical understanding of architecture and cloud platforms

Have managed teams but never owned platform delivery

Cannot articulate AI platform dependencies, security, governance and release readiness processes

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