AI Value Architect - Private Cloud AI

What you'll do

• Guide customers on AI architecture, adoption roadmaps, blockers, and new production use cases; lead regular value and roadmap reviews.
• Identify and technically shape expansion opportunities, build value cases, and coordinate validated opportunities with Sales and partner teams.
• Create reusable workshops, tools, reference architectures, metrics, and processes for a global AI value and expansion program.

What they ask for

• Strong hands-on knowledge of enterprise AI and GenAI architectures, including LLM inference, RAG, vector databases, AI agents, evaluation, guardrails, and LLMOps/MLOps.
• Experience designing or implementing production AI solutions using Python, Linux, containers, Kubernetes, Helm, APIs, identity and access controls, and object/file storage.
• Demonstrated success in a customer-facing technical sales or advisory role; ability to translate AI technology into business value and work with technical and executive stakeholders.
• Frequent North America travel is required; occasional international travel.

Nice to have

• Experience with NVIDIA AI Enterprise technologies, HPE Private Cloud AI, or comparable enterprise AI platforms.
• Experience delivering enterprise AI/ML, data-platform, cloud-native, or GenAI solutions; working with strategic enterprise accounts; or developing repeatable workshops and solution assets.

Pay

USD 120,500 - 284,000 annual combined base and target-level sales compensation (80%/20% mix) in Texas

Tools

Python, Linux, Kubernetes, Helm, Airflow, Kubeflow, MLflow, Ray

AI focus

Enterprise AI and GenAI customer adoption and expansion, including architecture guidance for inference, RAG, AI agents, model serving, fine-tuning, data pipelines, observability, governance, and security.