AI Value Architect – Private Cloud AI

• 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

• 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

• 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