Distinguished Technologist, AI Value Architect – Private Cloud AI

Hewlett Packard Enterprise

. Own the Day-2 value, adoption and expansion lifecycle for strategic HPE Private Cloud AI customers .

Posted 9/25/2026full-timeMunich • GermanySeniorLeadWebsite

Tech Stack

Tools & technologies

AirflowCloudKubernetesLinuxPythonRay

About the role

Key responsibilities & impact

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
Enable customer technical and business champions and evangelize Private Cloud AI
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 Central Europe
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 and hand validated opportunities to Sales
Partner with Sales, Pre-Sales and Partners through opportunity progression
Design reusable 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
Operate in a build-from-scratch, startup-style environment

Requirements

What you’ll need

15+ years of experience in customer-facing roles
Proven ownership of technical design and architecture of enterprise solutions
Strong 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 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
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 judgment and ability to build technical value cases
Strong program and account management skills across multiple strategic customers
Excellent written and verbal communication skills in English
Willingness and ability to travel frequently across Central Europe, with occasional international travel

Benefits

Comp & perks

Comprehensive benefits supporting physical, financial and emotional wellbeing
Personal and professional development programs
Flexible work and personal needs management
Inclusive and accessible workplace
Part-time work or job-sharing applicable to this position