Tech Program Manager (GenAI- Azure OpenAI)

Title: Technical Program Manager (TPM)Location: Remote (USA)Interview Process: 3 Technical Evaluation RoundsTPM + Production GenAI/RAG Delivery + AzureOne-Line SummaryLooking 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 OverviewLooking 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 RequirementsTechnical Program Management8+ years of TPM / Program Management experienceExperience managing complex enterprise platformsCritical path planning and milestone managementManaging 10+ concurrent dependencies/workstreamsRAID management and decision governanceRelease readiness and go-live ownershipExecutive stakeholder communicationAI Platform DeliveryCandidates must demonstrate hands-on experience with:Generative AI solutionsRAG (Retrieval Augmented Generation) implementationsAI/ML product deliveryAI governance and Responsible AI practicesHuman-in-the-loop workflowsModel evaluation and monitoringTechnical DepthStrong understanding of:Microsoft AzureDevOps / CI-CDAPIs and integrationsData platformsCloud infrastructureArchitecture governanceSecurity and RBAC modelsStrong 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 environmentsKnockout Factors (No-Go pointers)Candidates are unlikely to progress if they:Are primarily Scrum Masters or Project CoordinatorsLack hands-on GenAI or RAG delivery experienceHave limited technical understanding of architecture and cloud platformsHave managed teams but never owned platform deliveryCannot articulate AI platform dependencies, security, governance and release readiness processes