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

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

Hewlett Packard Enterprise is the global edge‑to‑cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next.

We value varied backgrounds and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career, our culture will embrace you. Open up new opportunities with HPE.

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 needs.

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.

• 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.

• 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.

• 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…