Hybrid Distinguished Technologist, Private Cloud AI

at Hewlett Packard Enterprise

• Job title: Distinguished Technologist, Private Cloud AI
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: $179,500 - $412,500 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Kubernetes, Microservices, Open Source
• Location requirements: Hybrid, Spring, United States

About the role

• Distinguished Technologist driving AI architecture and technical design for HPE private cloud solutions. Leading AI initiatives and architectural decisions across PCAI’s applied AI portfolio.

Responsibilities

• 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.
• 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.
• 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.

Requirements

• 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 and Generative AI solutions that are in production/operations.
• Minimum of 2 years of experience designing and implementing agentic AI and Generative AI platforms and frameworks that are used by multiple AI solutions, products, or teams.
• Minimum of 5 years of experience designing, engineering, and operationalizing large‑scale AI/ML solutions on at least one large public cloud platform, using: Cloud‑native AI services and frameworks, open‑source technologies, and third‑party tools (e.g., observability, security, governance, data/feature platforms).
• Minimum of 5 years of expert‑level understanding of key AI technologies from public cloud providers, open source ecosystems, and third‑party vendors.
• Hands ‑ on experience with: Foundation models and large language models (LLMs).
• Building and optimizing RAG pipelines, multi‑agent systems, and tool‑ using agents.
• Architecting knowledge graphs and semantic layers to support AI agents and domain‑ specific reasoning.
• Implementing AI security, governance, and observability in production environments.
• Strong understanding of cloud‑native architectures (containers, microservices, Kubernetes, service meshes) and hybrid/private cloud patterns.
• Proven track record architecting and deploying mission‑critical, highly distributed, large‑scale platforms or SaaS.

Benefits

• Health & Wellbeing
• Personal & Professional Development
• Unconditional Inclusion