Senior Director – Agentic AI Development

HP France

. Translate PO priorities into executable engineering plans .

Posted 10/14/2026full-timeSpring • Texas • United StatesSenior💰 $200,150 - $320,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in AI engineering, particularly in integrating AI-enabled devices and managing engineering teams. Proven ability to lead complex projects from prototype to production while ensuring quality, reliability, and effective communication across diverse teams.

Highest-signal resume keywords

AI Engineering LeadershipDevice Integration and Release QualityAutomated Integration and ValidationPerformance Diagnosis Across Software and HardwareTechnical Judgment and Executive Communication

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI-Enabled Device DevelopmentContext HandlingLocal or Hybrid InferenceSystematic Evaluation of AI BehaviorAutomated IntegrationHardware-Based ValidationRollback and Field TelemetryPerformance and Reliability DiagnosisTask Quality BalancingMultimodal Agents

Soft Skills

Global People LeadershipDelivery LeadershipExecutive Communication

Tools & Technologies

Foundation APIsOS ServicesDevice ManagementEmbedded ProductsWindows PCs

Industry Keywords

AI ApplicationsConnected DevicesEmbedded ProductsOEM PartnershipsODM PartnershipsSilicon IntegrationISV Collaboration

About the role

Key responsibilities & impact

Translate PO priorities into executable engineering plans
Lead engineering squads from prototypes to production increments with clear ownership of implementation, dependencies, and delivery commitments
Build context-aware workflows, tool integrations, planning and execution logic, and local or hybrid inference
Design bounded actions, human oversight, interruption, and recovery
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
Establish scenario-based agent evaluations and automated tests on representative hardware
Measure task success, latency, memory, battery impact, security behavior, and cross-device continuity
Own integration readiness, release evidence, rollout sequencing, rollback plans, and field issue resolution
Coordinate compatibility across device variants, OS versions, and external components
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
Hire and grow engineering managers and technical leaders across sites
Own staffing, development investment, engineering effectiveness, and executive escalation of delivery risks

Requirements

What you’ll need

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
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
Experience 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 balance task quality with latency, memory, power, and privacy
Strong global people and delivery leadership, technical judgment, and executive communication
Degree in computer science, electrical or computer engineering, or a related field, or equivalent relevant experience
Preferred: experience developing for Windows PCs, multiple processor architectures, or device portfolios with differing CPU, GPU, and NPU capabilities
Preferred: background in multimodal agents, cross-device workflows, enterprise endpoint software, or production integration of third-party AI capabilities
Preferred: experience with OEM, ODM, silicon, OS, or ISV partners and AI-assisted engineering with human review and quality controls

Benefits

Comp & perks

Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave
Bonus and/or equity opportunities for United States of America candidates only