H

Hewlett Packard Enterprise

Builds servers, networking and private cloud

AI Value Architect - Private Cloud AI

Full-TimeUpdated on 10/24/2026
No salary listed
Mid
Remote in Spain+2 moreMore locations: Lisbon, Portugal | Las Rozas de Madrid, Madrid, Spain
RemotePrimarily work from home; frequent onsite customer travel within LASER and occasional international travel.
Solution EngineeringImplementation & Technical Account Management

About the job

Requirements
  • Strong hands-on knowledge of enterprise artificial intelligence and generative AI architectures, including large language model inference, retrieval-augmented generation, vector databases, AI agents, model endpoints, evaluation, guardrails, and large language model operations or machine learning operations.
  • Familiarity and initial experience with agent harnesses such as OpenClaw, NemoClaw, Hermes, and OpenCode.
  • Experience designing or implementing production artificial intelligence solutions using Python, Linux, containers, Kubernetes, Helm, application programming interfaces, identity and access controls, and object or file storage.
  • Knowledge of data engineering and machine learning platforms such as Airflow, Kubeflow, MLflow, Ray, model-serving frameworks, and observability tooling.
  • Working knowledge of graphics processing units, power cooling, and networking.
  • Ability to reason end-to-end from customer outcomes and data readiness through application architecture, platform sizing, security, operations, and scale.
  • Demonstrated success in a customer-facing technical sales or advisory role such as AI Solutions Architect, Value Architect, Pre-Sales Engineer, Forward Deployed Engineer, Customer Engineer, or Field Chief Technology Officer-style role.
  • Ability to translate complex AI technology into business value, facilitate workshops with technical and executive stakeholders, and influence without direct authority.
  • Strong commercial curiosity and judgment, including recognizing expansion signals, asking investment-oriented questions, building a credible technical value case, and collaborating with Sales while maintaining trusted-advisor status.
  • Strong program and account management skills across multiple strategic customers, with disciplined follow-through and concise executive communication.
  • Excellent written and verbal communication skills in English.
  • Builder mentality and comfort creating a new motion, assets, and processes rather than inheriting a mature playbook.
  • High ownership, bias for action, and comfort operating in ambiguity.
  • Collaborative working style and ability to work across geographic and global teams.
  • Willingness and ability to travel frequently for onsite customer engagements across LASER, with occasional international travel.
Responsibilities
  • Own a portfolio of strategic Private Cloud AI customers beyond initial onboarding and drive continued internal adoption, value realization, and expansion across business units.
  • Discover and shape new AI, generative AI, and agentic AI use cases across business units, moving customers from initial workloads to broader production adoption.
  • Provide architecture guidance for new workloads across inference, retrieval-augmented generation, AI agents, model serving, fine-tuning, data pipelines, observability, governance, and security.
  • Evangelize Private Cloud AI within customer organizations by enabling technical and business champions, sharing roadmap updates, and helping teams understand how the platform can support their next AI initiatives.
  • Establish a programmatic customer cadence with quarterly value, adoption, and roadmap reviews involving customer stakeholders and relevant HPE account teams.
  • Run outcome-focused business and technical reviews covering progress since onboarding, roadmap progress, blockers, and required technical or commercial next steps.
  • Plan and lead regular onsite engagements at strategic customers, traveling frequently within LASER and selectively worldwide.
  • Maintain clear account plans, actions, risks, value hypotheses, and expansion signals across the portfolio.
  • Identify, qualify, and technically shape expansion opportunities by recognizing customer needs for additional Private Cloud AI capacity, capabilities, platform expansion, or related services.
  • Run targeted roadmap, architecture, scaling, and adoption workshops when expansion triggers emerge, clarifying customers’ next AI priorities and required Private Cloud AI capabilities.
  • Build the technical and commercial value case for expansion, connect it to roadmap progress and measurable outcomes, and hand validated opportunities to Sales with clear scope, customer evidence, and next-step recommendations.
  • Partner with local Sales, Pre-Sales, and Partners through opportunity progression while advising customers on investment needs, expansion options, and outcomes.
  • Design reusable customer workshops, discovery guides, assessment tools, reference architectures, and proof patterns across customer sites and geographic areas.
  • Create the operating model, templates, metrics, and governance for a new global AI value and expansion motion.
  • Capture field learnings, customer roadmap signals, adoption blockers, and expansion patterns; feed them back to Product and global teams and continuously improve the playbook.
Desired Qualifications
  • Experience with NVIDIA AI Enterprise technologies, HPE Private Cloud AI, or comparable enterprise AI platforms is strongly preferred.
  • Additional Spanish and Portuguese language skills are an advantage.

About the company

H

Hewlett Packard Enterprise

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Hewlett Packard Enterprise sells servers, storage, networking and hybrid cloud software to large companies, governments and service providers. Its GreenLake platform lets customers run on-premises hardware as a metered cloud service, and its Cray supercomputers run national lab and AI training workloads. The networking business, built on Aruba and Juniper Networks, supplies campus, data-center and routing equipment. Revenue comes from hardware sales, multiyear support contracts, financing and subscriptions. The company traces its roots to Hewlett-Packard, founded in 1939, became a separate public company in 2015 and is headquartered in Houston, Texas.

Company Size

10,001+

Company Stage

IPO

Headquarters

Houston, Texas

Founded

1939

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Simplify Jobs

Simplify's Take

What believers are saying

  • Growth is strong: revenue hit a record $12.2 billion, up 34%, in the quarter reported September 2026.
  • Time off to recharge: HPE gives four Wellness Fridays off a year plus 60 hours of paid volunteer time.
  • Scale gives range: HPE runs server, storage, networking and supercomputer businesses under one employer.

What critics are saying

  • Cuts continue after Juniper: an October 2025 WARN notice listed 52 HPE layoffs in San Jose, California.
  • Integration pressure: HPE still targets $600 million in yearly Juniper cost savings by fiscal 2028, as of October 2026.
  • Supply limits sales: in September 2026, CEO Antonio Neri said memory supply stays very constrained until 2028.

What makes Hewlett Packard Enterprise unique

  • Networking is now core: Juniper helped make networking a $2.9 billion business in the quarter reported September 2026.
  • AI networking is surging: Networks for AI orders hit a record $700 million in the quarter reported September 2026.
  • Hybrid cloud model: GreenLake bills customers monthly for on-premises servers and storage they use.

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Benefits

  • Health Insurance
  • Flexible Work Hours
  • Hybrid Work Options
  • Professional Development Budget
  • Wellness Program

Growth & Insights and Company News

6 month growth

4%

1 year growth

11%

2 year growth

11%
Yahoo Finance
Oct 23rd, 2026
HPE shares rise 4% to $57.46 on AI and lunar computing news, outpacing Dell and Super Micro

Hewlett Packard Enterprise (HPE) shares rose about 4% to $57.46, outpacing other AI server stocks. Dell Technologies gained roughly 2% to $462.42, while Super Micro Computer was essentially unchanged at $33.73. The S&P 500 ETF SPY slipped 0.34% to $761.35, while the Global X Data Center & Digital Infrastructure ETF rose about 2% to $25.39. HPE expanded its AI Factory offerings with NVIDIA and deepened a partnership with Schneider Electric to deploy industrial AI agents at the edge. It also said its Spaceborne Computer-4 will travel to the Moon's south pole on Astrolab's FLIP rover later this year. Investors may be favouring HPE's broader mix of enterprise, edge, and specialised computing over narrower peers.

Yahoo Finance
Oct 22nd, 2026
HPE shares fall 6.14% to $54.60 as it backs Nvidia OpenShell and Vera CPU racks

Hewlett Packard Enterprise (HPE) plans to support Nvidia OpenShell and introduce Vera CPU rack infrastructure. The move targets businesses that want tighter control over autonomous AI systems, sensitive data, and computing resources. HPE shares traded at $54.60, down 6.14%, at 11:20 EST on Thursday. In its fiscal third quarter, Cloud and AI revenue reached $9.0 billion, up 25.4% from a year earlier. The segment's operating margin rose to 17% from 7%. GuruFocus puts the shares 90.98% above its $28.59 GF Value estimate, suggesting investors still expect strong growth. HPE must now turn its AI offering into revenue and cash flow while defending its margin gains.

Associated Press
Oct 22nd, 2026
Schneider Electric, NVIDIA and HPE launch edge AI agents for process industries

Schneider Electric, NVIDIA and HPE have announced a collaboration to bring Physical AI to process and heavy industries. They unveiled Industrial AI Agents at the Edge in Berlin on October 22, 2026. The system runs on HPE Private Cloud AI, so autonomous agents work inside industrial sites. It targets three barriers to adoption: data sovereignty, cybersecurity, and AI consumption costs. The first three agents cover operational technology monitoring, cybersecurity, and energy optimisation. Customers manage them through Schneider's EcoStruxure Industrial Insights apps. CMPC Chile, a Latin American pulp and paper producer, has used Schneider's monitoring system for three years. It sees potential for AI agents to help its specialists investigate issues faster, while people stay in control of critical decisions.

The Register
Oct 20th, 2026
HPE to run AI on the Moon this year with Spaceborne Computer 4 aboard Astrolab's FLIP rover

Hewlett Packard Enterprise (HPE) will run AI on the Moon before the end of the year. Its fourth-generation Spaceborne Computer (SBC4) will fly aboard Astrolab's Flex Lunar Innovation Platform (FLIP) rover, part of NASA's Commercial Lunar Payload Services programme. A SpaceX Falcon Heavy rocket will launch the rover, and Astrobotic's Griffin-1 lander will carry it to the Moon's south pole near Mons Mouton. SBC4 will run tuned large language model tests, machine learning on camera and LiDAR data, and supercomputing benchmarks, which could make it the first Top500 submission from a celestial body. The 1TB system uses mostly off-the-shelf parts, including Kioxia SSDs in a software RAID 1 mirror. Processing data locally saves scarce bandwidth back to Earth.

Yahoo Finance
Oct 14th, 2026
HPE shares fall 7.4% as Barclays downgrades and cuts target to $77

Hewlett Packard Enterprise (HPE) shares fell about 7.4% to $63.695 at 11:48 ET on October 14, after Barclays downgraded the stock to Equal Weight. The bank cut its price target to $77 from $83 but left its financial forecasts unchanged. The move questions how much investors should pay for HPE's growth story, not its earnings outlook. The share price sits 124.2% above GuruFocus's GF Value estimate of $28.41. Data-center networking revenue rose 112.2% year over year to $382 million, about 3.1% of quarterly revenue of $12.2 billion. The wider Networking segment brought in $2.9 billion at a 22% operating margin, against 17% for Cloud & AI. The next earnings report must show stronger evidence that the premium is justified.