Job description

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. 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 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 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, o pen‑ source technologies, and t hird‑ 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. Technical Depth (AI/ML and GenAI) 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. Modern deep learning architectures (e.g., transformers, sequence models),. Pre‑ training, fine ‑tuning, distillation, and alignment of models. Cloud, Platform, and Architecture Skills 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 . Experience integrating AI workloads into production‑grade infrastructure , including performance, scalability, reliability, and compliance considerations. Leadership & Collaboration Demonstrated ability to lead through influence , drive architectural decisions, and align multiple teams around a cohesive technical vision. Excellent communication skills, able to engage executives, architects, engineers, and customers on complex technical topics and trade‑ offs . Comfortable working in a global, distributed, and highly cross‑functional environment , operating across product, engineering, sales, and services organizations. What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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. Let s Stay Connected: Follow HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates #executive, #hybridcloud Job: Engineering Job Level: TCP_07 The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 179,500 - 358,500 in Colorado // 194,000 - 388,000 in Massachusetts // 194,000 - 412,500 in California // 170,000 - 412,500 in North Carolina & Texas The listed salary range reflects base salary. Variable incentives may also be offered. Information about employee benefits offered in the US can be found at myhperewards.com The estimated job application period closure is December 7 2026; this timeline is provided for transparency and internal planning purposes. HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity . Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. Recruitment Fraud Alert We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications. All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.

Requirements

Must-haves

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.
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.
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 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, o pen‑ source technologies, and t hird‑ 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.
Technical Depth (AI/ML and GenAI)
Foundation models and large language models (LLMs).
Building and optimizing RAG pipelines, multi‑agent systems , and tool‑ using agents.

Nice-to-haves

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Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlkubernetes

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Vision

Professional Development