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.