AI Value Architect – Private Cloud AI

This is a fully remote position, open to applicants in Spain, +1 more country.

📋 Description

• Take ownership of the Day-2 value, adoption, and expansion lifecycle for key HPE Private Cloud AI clients.

• Foster ongoing internal adoption, value realization, and growth across various business units.

• Identify and develop AI, GenAI, and agentic AI use cases.

• Offer architectural guidance for inference, RAG, AI agents, model serving, fine-tuning, data pipelines, observability, governance, and security.

• Advocate for Private Cloud AI within customer organizations and empower technical and business champions.

• Conduct quarterly reviews focusing on value, adoption, and roadmaps with customer stakeholders and HPE account teams.

• Lead business and technical reviews with an emphasis on outcomes.

• Organize and lead on-site customer engagements, traveling frequently within LASER.

• Maintain comprehensive account plans, actions, risks, value hypotheses, and expansion indicators.

• Identify, qualify, and technically refine expansion opportunities.

• Facilitate workshops on roadmaps, architecture, scaling, and adoption.

• Develop technical and commercial value propositions for expansion and transfer validated opportunities to Sales.

• Collaborate with Sales, Pre-Sales, and Partners throughout the opportunity progression.

• Design reusable customer workshops, discovery guides, assessment tools, reference architectures, and proof patterns.

• Create the operational model, templates, metrics, and governance for a global AI value and expansion initiative.

• Gather insights from the field and continuously enhance the global playbook.

⛳️ Requirements

• Extensive hands-on expertise in enterprise AI and GenAI architectures, including LLM inference, RAG, vector databases, AI agents, model endpoints, evaluation, guardrails, and LLMOps/MLOps.

• Familiarity and initial experience with agent harnesses such as OpenClaw, NemoClaw, Hermes, and OpenCode.

• Experience in designing or implementing production AI solutions utilizing Python, Linux, containers, Kubernetes, Helm, APIs, identity and access controls, and object/file storage.

• Knowledge in data engineering and ML platforms like Airflow, Kubeflow, MLflow, Ray, model serving frameworks, and observability tools.

• Practical understanding of GPUs, power, cooling, and networking.

• Capability to reason through the entire process from customer outcomes and data readiness to application architecture, platform sizing, security, operations, and scalability.

• Experience with NVIDIA AI Enterprise technologies, HPE Private Cloud AI, or comparable enterprise AI platforms is highly preferred.

• Proven success in a customer-facing technical sales or advisory capacity.

• Ability to translate complex AI technologies into business value and lead workshops with both technical and executive stakeholders.

• Strong commercial curiosity and sound judgment.

• Robust program and account management skills across multiple strategic clients.

• Excellent written and verbal communication abilities in English.

• Willingness and capacity to travel frequently for on-site customer engagements across LASER, with occasional international travel.

🏝️ Benefits

• Comprehensive benefits that support physical, financial, and emotional wellbeing.

• Opportunities for personal and professional development.

• Flexible work arrangements and personal needs management.

• An inclusive workplace.

• Disability accommodations available during the application or interview process.