TPM for GenAI Programs

Summary

The Technical Program Manager will lead the delivery of GenAI agents by managing backlogs, coordinating cross-functional teams, and overseeing the full lifecycle from design to production. The role requires extensive experience in Agile methodologies and AI program governance to ensure successful delivery of enterprise-scale AI solutions.

AI Orchestrator (PM)

Role

  • Job Title: AI Orchestrator (PM)
  • Role Type: Technical Program Manager (TPM) for GenAI Programs

Role Summary

  • Serve as the delivery and coordination engine for the client's AI Agent Factory.
  • Own and prioritize the AI use-case backlog based on business priorities, KPIs, and MVP scope.
  • Translate business objectives into executable AI agent delivery plans, specifications, and measurable outcomes.
  • Drive execution across client demand/governance, platform, PSO, and engineering teams.
  • Act as the single point of accountability for delivery, ensuring priority AI agents are delivered on schedule.
  • Manage dependencies, risks, quality gates, governance, and stakeholder communication throughout the agent lifecycle.
  • Drive delivery toward the targeted August 2026 MVP.

Key Responsibilities

  • Own and prioritize the AI use-case backlog aligned with business outcomes and KPIs.
  • Lead a 2-week Agile sprint cadence, including:
    • Sprint planning
    • Backlog refinement
    • Daily stand-ups
    • Sprint reviews/demos
    • Retrospectives
  • Orchestrate cross-functional execution across client, PSO, platform, and engineering teams.
  • Manage team handoffs, interdependencies, and execution interlocks.
  • Maintain and actively manage RAID logs covering risks, assumptions, issues, and dependencies.
  • Coordinate the complete agent delivery lifecycle:
    • Design
    • Build
    • Deploy
    • Optimize
  • Manage the validation-to-production five-gate delivery process.
  • Own weekly execution reporting covering:
    • Scope
    • Velocity and burndown
    • Risks and issues
    • Dependencies
    • Agent KPIs
    • Quality and autonomy metrics
    • Reuse rate
  • Align acceptance criteria, evaluation metrics, and go/no-go decisions with product owners and governance teams.
  • Manage squad resourcing, onboarding, utilization, and delivery continuity.
  • Champion reuse through the Agent Library and drive continuous improvement and adoption.
  • Track value realization and business outcomes from delivered AI agents.
  • Serve as the primary delivery interface for stakeholders and provide executive-level status reporting.

Mandatory Skills

  • Proven Technical Program Management / Project Management experience supporting enterprise-scale AI, GenAI, cloud, or platform programs.
  • Strong Agile / SAFe delivery experience.
  • Hands-on experience with:
    • Backlog management
    • Sprint planning and execution
    • Velocity tracking
    • Burndown reporting
    • Agile ceremonies
  • Ability to translate business objectives into:
    • AI agent specifications
    • Delivery roadmaps
    • Execution plans
    • Acceptance criteria
    • Measurable KPIs
  • Strong stakeholder management and cross-functional coordination skills.
  • Excellent executive communication and status reporting capabilities.
  • Strong experience managing RAID, dependencies, risks, issues, and governance across multiple teams.
  • Working knowledge of AI agent delivery concepts, including:
    • Gemini Enterprise
    • ADK
    • RAG
    • AI agent lifecycle
    • Agent validation and deployment

Experience & Certifications

  • 9 12+ years of technical program/project management experience.
  • Recent hands-on delivery experience with AI/GenAI programs.
  • Enterprise-scale program management experience preferred.
  • PMP certification strongly preferred.
  • SAFe RTE / POPM certification preferred.
  • Scrum certification preferred.

Ideal Candidate

  • Technical Program Manager with strong GenAI/AI delivery experience.
  • Experienced in orchestrating multiple technical teams and complex enterprise programs.
  • Comfortable working between business stakeholders, AI/platform teams, engineering, and governance.
  • Strong combination of Agile delivery, AI understanding, program governance, stakeholder management, and executive communication.
  • Delivery-focused leader capable of driving AI agents from concept through production and optimization.

See also

AI Engineering jobs by country — openings, pay and top skills →

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