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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Value Architect - Private Cloud AI - **Company:** Hewlett-Packard Enterprise - **Location:** Spring, TX, United States - **Salary:** $120,500.0 - $284,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Applications Architecture, Cloud Engineering, Information Engineering, Linux, File Systems, Python (Programming Language), Azure Machine Learning, Private Cloud Environment, Datadog, Graphics Processing Unit (GPU), Enterprise Software Applications, Large Language Models, AI Platforms, Kubernetes, Machine Learning Operations, Data Pipelines - **Published:** September 29, 2026 - **Apply:** https://hpe.wd5.myworkdayjobs.com/Jobsathpe/job/Spring-Texas-United-States-of-America/AI-Value-Architect---Private-Cloud-AI_1215671-2 ## About the Role * 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 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, model serving frameworks and observability tooling. * Working knowledge around 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 is strongly preferred. Customer & Commercial Skills * Demonstrated success in a customer-facing technical sales or advisory role such as AI Solutions Architect, Value Architect, Pre-Sales Engineer, Forward Deployed Engineer, Customer Engineer or Field CTO-style role. * Ability to translate complex AI technology into business value, facilitate workshops with technical and executive stakeholders, and influence without direct authority. * Strong commercial curiosity and judgment: able to recognize expansion signals, ask direct investment-oriented questions, build a credible technical value case and collaborate with Sales without compromising trusted-advisor status. * Strong program and account management skills across multiple strategic customers, with disciplined follow-through and concise executive communication. * Excellent written and verbal communication skills in English; additional languages are an advantage. Ways of Working * Builder mentality: comfortable creating a new motion, assets and processes rather than inheriting a mature playbook. * High ownership, bias for action and comfort operating in ambiguity. * Collaborative and low-ego, with the ability to work across North America and global teams. * Willingness and ability to travel frequently for onsite customer engagements across North America; frequent North America travel is required, with occasional international travel. Preferred Background * Significant experience delivering enterprise AI/ML, data-platform, cloud-native or GenAI solutions in customer environments. * Experience working with strategic enterprise accounts and navigating both engineering and commercial stakeholders. * Experience developing and delivering repeatable workshops, solution accelerators, reference architectures or field enablement assets. ## Description This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office., As an AI Value Architect for North America, 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: identifying where customers are stuck, what they need next, and where additional Private Cloud AI capacity, capabilities or services create the next step in their AI journey. You will be North America aligned and customer-present while operating as part of a globally coordinated team. This is a customer-facing technical sales role, not a delivery or consulting role: you will help customers understand what is possible with Private Cloud AI, review progress against their roadmap, uncover blockers, identify new internal use cases and champions, and work closely with Sales, Pre-Sales, Forward Deployed Engineering, Product and Support to turn validated needs into clear next steps. 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, moving customers from initial workloads to broader production adoption. * 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 by enabling technical and business champions, sharing relevant roadmap updates, and helping teams understand where Private Cloud AI can support their next AI initiatives. Structured Adoption Cadence * Establish a programmatic customer cadence with quarterly value, adoption and roadmap reviews involving customer stakeholders and relevant HPE account teams. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [The Memory Leak That Ate Our Cluster: A Postmortem](https://www.wearedevelopers.com/videos/2057-the-memory-leak-that-ate-our-cluster-a-postmortem) - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) ## Related Articles - [Got AI ideas but no money? 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