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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