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AI Value Architect - Private Cloud AI

Remote / Online - Candidates ideally in
Albuquerque, Bernalillo County, New Mexico, 87101, USA
Listing for: Hewlett Packard Enterprise
Remote/Work from Home position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    AI Business & Operations, IT Consultant, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.

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

As an AI Value Architect for LASER, you will own the Day-2 value, adoption and expansion lifecycle for a portfolio of strategic HPE Private Cloud AI customers. You will act as a trusted technical advisor and AI value partner after initial deployment, helping customers turn early onboarding outcomes into broader internal adoption, stronger champions, clearer AI roadmaps and measurable business impact.

You will combine deep technical credibility in enterprise AI and Generative AI with confident,
commercial judgment
: identifying where customers are stuck, what they need next, and where additional Private Cloud AI capacity, capabilities or services create the next step in their AI journey.

You will be GEO-aligned and customer-present while operating as part of a globally coordinated team. This is a customer-facing technical sales role, not a delivery or consulting role: you will help customers understand what is possible with Private Cloud AI, review progress against their roadmap, uncover blockers, identify new internal use cases and champions, and work closely with Sales, Pre-Sales, Forward Deployed Engineering, Product and Support to turn validated needs into clear next steps.

What

You’ll DoContinuous Value Creation
  • Own a portfolio of strategic Private Cloud AI customers beyond initial onboarding and drive continued internal adoption, value realization and expansion of Private Cloud AI across business units.
  • Discover and shape new AI, GenAI 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, RAG, AI agents, model serving, fine-tuning, data pipelines, observability, governance and security.
  • Evangelize Private Cloud AI inside the customer organization by enabling technical and business champions, sharing relevant roadmap updates, and helping teams understand where Private Cloud AI can support their next AI initiatives.
Structured Adoption Cadence
  • 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 that ask practical adoption questions: what was achieved since onboarding, how much of the roadmap has progressed, where the customer is stuck, what blockers exist, and what technical or commercial actions are needed next.
  • Plan and lead regular onsite engagements at strategic customers; travel frequently within LASER as a core part of the role and selectively worldwide.
  • Maintain clear account plans, actions, risks, value hypotheses and expansion signals across the portfolio.
Expansion & Proof
  • Identify, qualify and technically shape expansion opportunities by recognizing where customers need additional Private Cloud AI capacity, new capabilities, platform expansion or related services to execute their AI roadmap.
  • Run…
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