Distinguished Technologist, Private Cloud AI - Applied & Agentic AI
Hewlett Packard Enterprise · San Jose, United States +4 · 19d ago
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 HPEGreenLake, offer a way for organizations to gain the agility and pay-per-use flexibility of public cloud services within their own data centers, whilemaintainingcontrol and security over their sensitive data. These solutions aim to simplify cloud management, accelerate application development, and improve resourceutilization, all within a dedicated private cloud infrastructure.
We areseekinga highly skilledDistinguished Technologist– Private Cloud AIdevelopment 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 technicalexpertiseand 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 teamsand customersto shapePCAI’s applied and agentic AI strategy.
Definecustomer readyAI architecturesfor private and hybrid cloud – spanning models, runtimes, knowledge/semantic layers, security, governance, and observability.
Evaluate and selectISVpartnertechnologies 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, ensuringperformant, reliable, and trustworthy AI systems.
Implementation & Technical Leadership
With partnership withPCAIArchitecture team, settheArchitecturedirectionofAgentOps/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 andoptimizeAI systems at scale andestablishbest practices for modellifecycle, 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 architectsand 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 andarchitectural experience.
Minimum of2 yearsof experiencedesigning and implementing scaled Agentic AI and Generative AI solutionsthat are in production/operations.
Minimum of2 yearsof experiencedesigning and implementing agentic AI and Generative AI platforms and frameworksthat are used by multiple AI solutions, products, or teams.
Minimum of5 yearsof experiencedesigning, engineering, andoperationalizinglarge‑scale AI/ML solutionson 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 of5 yearsofexpert‑level understanding of key AI technologiesfrom public cloud providers,open sourceecosystems, and third‑party vendors.
Technical Depth (AI/ML and GenAI)
Hands‑on experience with:
Foundation models and large language models (LLMs).
Building andoptimizingRAG pipelines, multi‑agent systems, and tool‑using agents.
Architectingknowledge graphs and semantic layersto support AI agents and domain‑specific reasoning.
ImplementingAI security, governance, and observabilityin 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 ofcloud‑native architectures(containers, microservices, Kubernetes, service meshes) andhybrid/private cloudpatterns.
Proventrack recordarchitecting and deployingmission‑critical, highly distributed, large‑scale platforms or SaaS.
Experience integrating AI workloads intoproduction‑grade infrastructure, including performance, scalability, reliability, and compliance considerations.
Leadership & Collaboration
Demonstrated ability tolead through influence, drive architectural decisions, and align multiple teams around a cohesive technical vision.
Excellent communication skills, able to engageexecutives, architects, engineers, and customerson complex technical topics andtrade‑offs.
Comfortable working in aglobal, distributed, and highly cross‑functional environment,operatingacross 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.
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