[Hiring] AI Value Architect @Hewlett Packard Enterprise

Role 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.

What You’ll Do

• Continuous 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.
  • 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.
• Structured Adoption Cadence:
  • Establish a programmatic customer cadence with quarterly value, adoption and roadmap reviews.
  • Run outcome-focused business and technical reviews.
  • Plan and lead regular onsite engagements at strategic customers.
  • Maintain clear account plans, actions, risks, value hypotheses and expansion signals.
• Expansion & Proof:
  • Identify, qualify and technically shape expansion opportunities.
  • Run targeted roadmap, architecture, scaling and adoption workshops.
  • Build the technical and commercial value case for expansion.
  • Partner with local Sales, Pre-Sales and Partners through opportunity progression.
• Build the Global Playbook:
  • Design customer workshops, discovery guides, assessment tools, reference architectures and proof patterns.
  • 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.
  • Operate effectively in a build-from-scratch, startup-style environment.

How Success Will Be Measured

• Expansion creation: qualified, sales-accepted opportunities for additional Private Cloud AI systems and related services.
• Program scale: reusable workshops, assets and operating practices adopted across the global team.
• Customer trust: sustained executive and practitioner engagement with strategic accounts.
• Customer value: additional use cases activated, stronger internal champions, measurable roadmap progress, broader adoption across business units.

Qualifications

• Strong hands-on knowledge of enterprise AI and GenAI architectures.
• Familiarity with agent harness 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.
• Working knowledge around GPUs, Power Cooling and Networking.
• Experience with NVIDIA AI Enterprise technologies, HPE Private Cloud AI, or comparable enterprise AI platforms is strongly preferred.

Requirements

• Demonstrated success in a customer-facing technical sales or advisory role.
• Ability to translate complex AI technology into business value.
• Strong commercial curiosity and judgment.
• Strong program and account management skills across multiple strategic customers.
• Excellent written and verbal communication skills in English; additional Spanish and Portuguese are an advantage.

Benefits

• Comprehensive suite of benefits that supports physical, financial and emotional wellbeing.
• Programs catered to helping you reach career goals.
• Unconditionally inclusive work environment.