AI Value Architect – Private Cloud AI

🔥 6 minutes ago

🌐 Spain, Portugal – Remote

🇪🇸 Spain – Remote 🇵🇹 Portugal – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Hewlett Packard Enterprise

WebsiteLinkedInAll Job Openings

10,000+ employees

🏢 Enterprise

🔧 Hardware

🤖 Artificial Intelligence

💰 $1.5G Post-IPO Equity - Hewlett Packard Enterprise on 2025-04

Enterprise • Hardware • Artificial Intelligence

Hewlett Packard Enterprise is an enterprise-focused technology company that delivers infrastructure, software, and services to help organizations build, manage, and secure hybrid cloud and AI-enabled environments. The company’s offerings — reflected in the provided text — include servers and high-performance computing (HPE ProLiant, HPE Cray), enterprise storage (HPE Alletra), networking products and services (HPE Aruba, Juniper partnership), AI platforms and turnkey AI factories, hybrid cloud and as-a-service offerings (GreenLake), security and networking (Zero Trust, SASE), and a broad portfolio of professional, advisory, and support services. HPE positions itself as a partner for large organizations modernizing data centers, deploying AI at scale, and adopting hybrid cloud operations.

📋 Description

• Own the Day-2 value, adoption and expansion lifecycle for strategic HPE Private Cloud AI customers • Drive continued internal adoption, value realization and expansion across business units • Discover and shape AI, GenAI and agentic AI use cases • Provide architecture guidance for inference, RAG, AI agents, model serving, fine-tuning, data pipelines, observability, governance and security • Evangelize Private Cloud AI within customer organizations and enable technical and business champions • Establish quarterly value, adoption and roadmap reviews with customer stakeholders and HPE account teams • Lead outcome-focused business and technical reviews • Plan and lead onsite customer engagements and travel frequently within LASER • Maintain account plans, actions, risks, value hypotheses and expansion signals • Identify, qualify and technically shape expansion opportunities • Run roadmap, architecture, scaling and adoption workshops • Build technical and commercial value cases for expansion and hand validated opportunities to Sales • Partner with Sales, Pre-Sales and Partners through opportunity progression • Design reusable customer workshops, discovery guides, assessment tools, reference architectures and proof patterns • Create the operating model, templates, metrics and governance for a global AI value and expansion motion • Capture field learnings and continuously improve the global playbook

🎯 Requirements

• Strong hands-on knowledge of enterprise AI and GenAI architectures, including LLM inference, RAG, vector databases, AI agents, model endpoints, evaluation, guardrails and LLMOps/MLOps • Familiarity and first experiences with agent harnesses such as OpenClaw, NemoClaw, Hermes and OpenCode • Experience designing or implementing production AI solutions using Python, Linux, containers, Kubernetes, Helm, APIs, identity and access controls, and object/file storage • Knowledge of data engineering and ML platforms such as Airflow, Kubeflow, MLflow, Ray, model serving frameworks and observability tooling • Working knowledge of GPUs, power, cooling and networking • Ability to reason end-to-end from customer outcome and data readiness through application architecture, platform sizing, security, operations and scale • Experience with NVIDIA AI Enterprise technologies, HPE Private Cloud AI, or comparable enterprise AI platforms strongly preferred • Demonstrated success in a customer-facing technical sales or advisory role • Ability to translate complex AI technology into business value and facilitate workshops with technical and executive stakeholders • Strong commercial curiosity and judgment • Strong program and account management skills across multiple strategic customers • Excellent written and verbal communication skills in English • Willingness and ability to travel frequently for onsite customer engagements across LASER, with occasional international travel

🏖️ Benefits

• Comprehensive benefits supporting physical, financial and emotional wellbeing • Personal and professional development programs • Flexible work and personal needs management • Inclusive workplace • Disability accommodations during the application or interview process