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 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.
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, 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.
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.
Job:
EngineeringJob Level:
TCP_07The 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 https://myhperewards.com/main/new-hire-enrollment.html
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.
Skills Required
- Bachelor's degree in computer science or a relevant field
- At least 15 years of progressive technical leadership and architectural experience
- At least 2 years designing and implementing scaled agentic AI and generative AI solutions in production
- At least 2 years designing and implementing agentic AI and generative AI platforms and frameworks used by multiple solutions, products, or teams
- At least 5 years designing, engineering, and operationalizing large-scale AI/ML solutions on a major public cloud platform
- Experience with cloud-native AI services, frameworks, open-source technologies, and third-party observability, security, governance, and data or feature platforms
- At least 5 years of expert-level understanding of AI technologies from public cloud providers, open-source ecosystems, and third-party vendors
- Hands-on experience with foundation models and large language models
- Experience building and optimizing RAG pipelines, multi-agent systems, and tool-using agents
- Experience architecting knowledge graphs and semantic layers for AI agents and domain-specific reasoning
- Experience implementing AI security, governance, and observability in production environments
- Experience with modern deep learning architectures, including transformers and sequence models
- Experience with model pre-training, fine-tuning, distillation, and alignment
- Strong understanding of containers, microservices, Kubernetes, service meshes, and hybrid or private cloud patterns
- Track record architecting and deploying mission-critical, highly distributed, large-scale platforms or SaaS
- Experience integrating AI workloads into production infrastructure with performance, scalability, reliability, and compliance considerations
- Ability to lead through influence and align multiple teams around a cohesive technical vision
- Excellent communication skills for engaging executives, architects, engineers, and customers
Hewlett Packard Enterprise Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Hewlett Packard Enterprise and has not been reviewed or approved by Hewlett Packard Enterprise.
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Parental & Family Support — Parental leave provides six months of fully paid time for all parents and includes options to return part-time for up to 36 months. Additional supports like backup childcare, fertility and adoption assistance reinforce a family-friendly package.
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Wellbeing & Lifestyle Benefits — Wellness Fridays offer paid early-finish time each month alongside resources such as on-site gyms, mental health tools, and paid volunteer time. These programs emphasize balance and personal well-being.
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Retirement Support — Retirement programs include a 401(k) with a 100% match on the first 4% of base salary and an Employee Stock Purchase Program. Retirement Transition Support enables part-time work for employees nearing retirement.
Hewlett Packard Enterprise Insights
What We Do
In 1939, Bill Hewlett and Dave Packard, college friends turned business partners, started the original Silicon Valley startup in the space of a rented Palo Alto garage. Starting with audio oscillators, the friends built the foundation for a company that would grow to become a global leader in enterprise technology. More than 75 years later, our success is exemplified through our employees’ drive to advance ideas that bring meaningful innovations to life for our customers and partners around the globe. We are guided by our mission to help customers use technology to turn ideas into value, and empower them to transform industries, markets and lives. We simplify Hybrid IT, power the Intelligent Edge and provide the expertise to make it all happen.
