Job Description

Title: AI Technical Program Manager (TPM)
Location: Remote (USA)
Interview Process: 3 Technical Evaluation Rounds

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 (No-Go pointers)

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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