# Director -  Agentic AI Development at HP

HP is hiring a Director -  Agentic AI Development. It pays $183k-$278k a year and Level rates it Builds AI ●●●●; you can [apply on HP](https://jobsbylevel.com/go/35f4a558-d352-4e88-8d20-403b3c4a2b31?utm_medium=ai-agent).

AI Level 4, AI centrality 90 out of 100. Spring, Texas, United States of America.

## Details

- Company: [HP](https://jobsbylevel.com/companies/hp)
- AI level: AI Level 4 (score 90 out of 100)
- Location: Spring, Texas, United States of America
- Salary: $183k-$278k
- Posted: October 14, 2026
- Apply: https://jobsbylevel.com/go/35f4a558-d352-4e88-8d20-403b3c4a2b31?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=director-agentic-ai-development-at-hp-7d2400

## Prepare for this job

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## Description

Director - Agentic AI Development Description - Our organization is shaping the future of AI at HP by delivering intelligent, agentic experiences that are deeply integrated into HP PCs and edge devices. We are focused on transforming how users interact with technology through innovative AI-powered capabilities that enhance productivity, simplify workflows, and unlock new possibilities across the device ecosystem. This leadership role is responsible for driving the engineering organization that transforms strategic AI concepts into scalable, production-ready solutions. The leader will oversee roadmap execution, cross-functional development coordination, quality and release management, risk mitigation, and issue resolution to ensure seamless delivery of AI experiences across applications, device services, AI execution layers, and supported hardware platforms. Success in this role requires a strong combination of technical leadership, operational excellence, and a passion for bringing next-generation AI innovations to market. Job Locations will consider: Houston & Austin TX and Taipei City, Taiwan Role purpose Lead the engineering organization that turns prioritized agentic experiences into integrated, production-ready features on HP PCs and edge devices. Own roadmap execution, development coordination, quality, release management, risk mitigation, and issue escalation. Deliver the intended experience across application behavior, device services, AI execution, and supported hardware configurations. Our organization advances HP AI through capabilities deeply integrated into HP PCs and edge devices. Key responsibilities Feature delivery. Translate PO priorities into executable engineering plans. Lead squads from prototypes to production increments, with clear ownership of implementation, dependencies, and delivery commitments. Agentic engineering. Build context-aware workflows, tool integrations, planning and execution logic, and local or hybrid inference. Design for bounded actions, human oversight, interruption, and recovery. PC integration. Integrate features with Foundation APIs, OS services, hardware capabilities, and device management. Address startup, sleep and resume, offline operation, updates, and failure conditions on target devices. Experience validation. Establish scenario-based agent evaluations and automated tests on representative hardware. Measure task success, latency, memory, battery impact, security behavior, and cross-device continuity. Release accountability. Own integration readiness, release evidence, rollout sequencing, rollback plans, and field issue resolution. Coordinate compatibility across device variants, OS versions, and external components. Agile execution. Build continuously with PO and Foundation around a shared backlog and sprint goal. Surface risks early, drive recovery actions, and use demonstrations and adoption evidence to improve delivery. Organization leadership. Hire and grow engineering managers and technical leaders across sites. Own staffing, development investment, engineering effectiveness, and executive escalation of delivery risks. Required qualifications Typically 15 or more years in software, systems, or AI engineering, including at least 7 years of leadership and experience managing managers across multiple engineering teams. Demonstrated delivery of shipped AI-enabled PCs, connected devices, or embedded products, with accountability for device integration, release quality, and post-launch reliability. Practical engineering depth in agentic or generative AI applications, including tool calling, context handling, local or hybrid inference, and systematic evaluation of AI behavior. Experience integrating native applications or services with OS and device interfaces, and diagnosing performance or reliability issues across software and hardware boundaries. Experience with automated integration, hardware-based validation, staged releases, rollback, and field telemetry; ability to

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