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Distinguished Technologist & Director, AI Strategy and Enablement; OCTO & HPE Labs

Job in Milpitas, Santa Clara County, California, 95035, USA
Listing for: Hewlett Packard Enterprise Company
Part Time position
Listed on 2026-05-26
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Distinguished Technologist & Director, AI Strategy and Enablement (OCTO & HPE Labs)

Distinguished Technologist & Director, AI Strategy and Enablement (OCTO & HPE Labs)

Job is hybrid, expecting an average of 2 days per week from an HPE office.

Who We Are

Hewlett Packard Enterprise is a global edge‑to‑cloud company that helps organizations connect, protect, analyze, and act on data and applications wherever they live. Our culture thrives on finding new and better ways to accelerate what’s next, valuing diverse backgrounds and offering flexibility to manage work and personal needs.

Job Description Opportunity

As a senior technical leader, you will shape innovation and long‑term technical direction for AI across OCTO and HPE Labs, aligning enablement work with HPE’s business units and functions. You will drive research‑to‑production delivery, translating labs innovations and proof of concepts into robust, secure, and maintainable capabilities for engineering and field teams. Your charter includes establishing standards and reference architectures while helping HPE’s business unit partners realize measurable outcomes from AI investments.

Key Responsibilities
  • Define and drive the enterprise AI enablement strategy and roadmap for OCTO and HPE Labs, aligned to HPE business priorities.
  • Act as a hands‑on Distinguished Technologist: set architecture, patterns, and best practices for AI/ML systems; contribute to prototypes and complex implementations; and validate designs for scale, resilience, and security.
  • Lead research transition: collaborate with HPE Labs to mature innovations into production‑ready components and repeatable delivery patterns.
  • Establish and enforce governance: model validation and evaluation standards, ethical/ responsible AI guardrails, data privacy/compliance, and risk management practices across AI initiatives.
  • Build, mentor, and grow a high‑performing team of applied AI engineers and data scientists; nurture technical leadership and cross‑functional collaboration.
  • Partner broadly across product, engineering, security, legal, data engineering, and field teams to operationalize AI use cases and maximize reuse across HPE.
  • Measure and communicate impact: define KPIs for adoption, ROI, model performance, reliability, and operational cost; report progress to OCTO, HPE Labs and senior leadership.
  • Represent HPE externally: engage customers, partners and the technical community to evangelize HPE’s AI enablement approach and gather field feedback that shapes the roadmap.
Required Qualifications and Experience
  • 15+ years of relevant industry experience spanning AI/ML, software engineering, cloud/hybrid infrastructure, and enterprise product delivery; substantial experience at strategic/technical leadership levels.
  • Advanced degree (MS/PhD preferred) in Computer Science, Engineering, Data Science, or related field, or equivalent experience.
  • Deep expertise in modern AI: large language models, generative AI, deep learning, applied machine learning, and production model lifecycle management.
  • Proven track record architecting and delivering mission‑critical, distributed AI applications and platforms at enterprise scale.
  • Strong background in MLOps, data pipelines, data engineering, model governance, security‑by‑design, and cloud/hybrid deployment models (Open Stack, AWS, Azure, VMware, Green Lake).
  • Demonstrated ability to lead cross‑functional, globally distributed teams and to influence senior stakeholders and executives.
  • Excellent systems design, problem solving, and architectural judgment; familiarity with domain‑driven, component based and evolutionary architecture approaches.
Preferred Skills and Attributes
  • Recognized technical authority with a history of innovation, publications, patents or significant open‑source contributions.
  • Hands‑on experience scripting and defining complex topologies and deployment automation across hybrid/cloud platforms.
  • Strong communicator and collaborator: able to translate technical tradeoffs into business implications and align diverse teams toward common goals.
  • Passion for mentoring and growing next generation technical leaders; commitment to fostering inclusive, high‑performance teams.
Management Level Definition

This role has broad technical impact across business…

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