Distinguished Technologist, Private Cloud AI

Distinguished Technologist, Private Cloud AI

  

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

Who We Are:

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.

Job Description:

   

 

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 Architecture 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.<