Director, Agentic AI Development

What you'll do

• Translate product priorities into executable engineering plans and lead squads from prototype to production.
• Build context-aware workflows, tool integrations, and planning logic for local or hybrid AI inference.
• Integrate AI features with Foundation APIs, OS services, hardware capabilities, and device management systems.
• Establish scenario-based agent evaluations to measure task success, latency, memory, and battery impact.
• Own integration readiness, rollout sequencing, rollback plans, and field issue resolution for all releases.
• Manage the engineering organization by hiring, growing, and mentoring engineering managers and technical leaders.
• Drive agile execution by managing shared backlogs, surfacing risks early, and providing delivery demonstrations.

What we're looking for

• Typically 15 or more years in software, systems, or AI engineering.
• At least 7 years of leadership experience managing managers across multiple engineering teams.
• Demonstrated delivery of shipped AI-enabled PCs, connected devices, or embedded products.
• Practical engineering depth in agentic or generative AI applications, including tool calling and local or hybrid inference.
• Experience integrating native applications or services with OS and device interfaces.
• Experience with automated integration, hardware-based validation, staged releases, and field telemetry.
• Degree in computer science, electrical or computer engineering, or a related field, or equivalent relevant experience.
• Experience developing for Windows PCs, multiple processor architectures, or device portfolios (preferred).