Distinguished Technologist, Private Cloud AI - Applied & Agentic AI

Distinguished Technologist, Private Cloud AI - Applied & Agentic AI    This role has been designed as 'Hybrid' with a requirement 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 know varied backgrounds are valued 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 opportunities with HPE.

HPE Private Cloud solutions, delivered through HPE   GreenLake , offer a way for organizations to gain the agility and pay-per-use flexibility of public cloud services within their own data centers, while   maintaining   control and security over their sensitive data. These solutions aim to simplify cloud management, accelerate application development, and improve resource   utilization , all within a dedicated private cloud infrastructure.   We are   seeking   a highly skilled   Distinguished Technologist   –  Private Cloud AI   development and advancement of the AI Software products.   As a Distinguished Technologist within the Private Cloud AI group, you are a hands ‑ on senior architect and AI leader who defines and delivers the future of AI for our private cloud offerings – one big idea at a time.   You will provide deep technical   expertise   and leadership across PCAI’s applied AI portfolio, spanning foundation models, generative and agentic AI, intelligent automation, and AI ‑ powered experiences for private/hybrid cloud.     Strategy, Architecture & Design  Lead AI architecture and technical design workshops with internal teams   and customers   to shape   PCAI’s applied and agentic AI strategy.  Define   customer ready   AI architectures   for private and hybrid cloud – spanning models, runtimes, knowledge/semantic layers, security, governance, and observability.   Evaluate and select   ISV   partner   technologies for the AI platform stack,   develop TCO and roadmap options, and drive key architectural decisions for PCAI products and customer solutions.   Design multi ‑ agent,   LLMOps / AgentOps , and AI security/governance blueprints, ensuring   performant , reliable, and trustworthy AI systems.   Implementation & Technical Leadership  With partnership with   PCAI   Architect ure team , set   the   Architecture   direction   of   AgentOps / LLMOps , AI Governance, AI Security, and AI Observability capabilities in PCAI offerings.   Build reusable AI components and agents and partner with engineering to take POCs into scalable, production ‑ grade services.   Troubleshoot and   optimize   AI systems at scale and   establish   best practices for model   lifecycle , evaluation, and responsible AI.   Recommend design optimizations and improvements for performance, cost efficiency, reliability, and trustworthiness.   Create and present high‑impact technical content   (reference architectures, design patterns, whitepapers, conference talks, and internal/external publications) to influence customers, partners, and internal stakeholders.   Mentor senior engineers and architects   and provide technical leadership across engineering, applied science, and field organizations.   Experience and Skills  Bachelor's degree in computer science or relevant field  At least 15+ years of progressive technical leadership and   architectural experience.   Minimum of   2 years   of experience   designing and implementing scaled Agentic AI