AI Orchestrator (PM)
Role Summary
Serves as the delivery and coordination engine of the client AI Agent Factory. Owns the AI use-case backlog, sprint execution, and cross-team orchestration across client (demand & governance), client (platform), and client (engineering). Acts as the single point of accountability translating business priorities into an executable agent-delivery plan, driving the factory squads to deliver priority agents by the August 2026 MVP while managing dependencies, risks, quality gates, and stakeholder communication.
Key Responsibilities
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Own and prioritize the AI use-case backlog aligned to client business outcomes, KPIs, and MVP scope.
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Drive the 2-week sprint cadence: planning, refinement, daily stand-ups, reviews/demos, and retrospectives across factory squads.
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Orchestrate cross-team execution across client, client PSO, and client engineering, managing hand-offs and interlocks.
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Track and manage dependencies, RAID (risks, assumptions, issues, dependencies), and mitigation actions in a live log.
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Care for the agent delivery lifecycle (Design Build Deploy Optimize) and the 5-gate validation-to-production flow.
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Own weekly execution reporting: scope, velocity/burndown, risks, dependencies, and agent KPIs (quality, autonomy, reuse rate).
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Align acceptance criteria, evaluation metrics, and go/no-go decisions with Intel product owners and governance.
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Manage resourcing, onboarding, and utilization of squad members; ensure delivery continuity across roles.
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Champion reuse (Intel Agent Library), continuous improvement, adoption, and value realization for delivered agents.
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Serve as the primary delivery interface for stakeholder communication and executive status updates.
Mandatory (Must-Have) Skills
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Proven technical program / project management for AI, GenAI, cloud, or platform programs at enterprise scale.
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Strong Agile / SAFe delivery expertise: backlog management, sprint execution, velocity, and burndown.
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Ability to translate business objectives into agent specifications, delivery plans, and measurable KPIs.
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Excellent stakeholder management, cross-functional coordination, and executive communication skills.
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Strong RAID, dependency, and governance management across multiple parties.
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Working understanding of AI agent delivery concepts (Gemini Enterprise, ADK, RAG, agent lifecycle).
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Experience & Certifications: 9+ years in technical program/project management with recent AI/GenAI delivery (Tier 5 6). PMP / SAFe (RTE/POPM) / Scrum certification strongly preferred.