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# Principal Enterprise AI Architect / Financial Services

- **Company:** Super Micro Computer, Inc.
- **Location:** San Jose, CA, United States
- **Salary:** $210,000.0 - $255,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Engineering, Data Centers, Software Safety, Scientific Computating, Software Deployment, PL-SQL, Information Technology
- **Published:** October 6, 2026
- **Apply:** https://jobs.supermicro.com/talentcommunity/apply/1437064800/?locale=en_US

## About the Role

* Bachelor's or master's degree in Computer Science, Computer Engineering, Information Technology, or equivalent. 12+ years as a solution architect, data center architect, or consultant, with production deployments you can point to.

 * Experience designing hybrid AI or HPC estates: private / on-prem plus public cloud and/or GPU cloud / neocloud. Comfortable working on the customer floor: workshops, lab bring-up, and POC execution, not only remote design reviews.

 * Experience taking large GPU/HPC systems from first workshop to production, including networking and data center power and cooling. Working knowledge of NVIDIA data center GPU platforms and software. NVIDIA certification is desirable.

 * Working knowledge of AMD and Intel server platforms and of major storage and networking products. Experience with regulated data, on-premises inference, or scientific computing is strongly preferred. Ability to travel to customer sites for multi-day workshops and POCs.

## Description

1. Forward-deployed customer architecture
Embed with high-profile Financial Services accounts for discovery and design. Sit with scientists, risk, infrastructure, and security. Analyze the workload on their data and constraints. Produce the architecture and present it to executives and technical teams. Package departmental GPU and HPC nodes, HGX-class clusters, or rack-scale NVL systems, including networking, power, and liquid cooling.

 2. Workshop, POC, and production handoff
Run workshops from workload and data boundary to architecture, TCO, and operating model. Scope and run the proof of concept on Supermicro hardware, bring-up, workload, fail-closed tests. Write the production design Supermicro can build and ship. Bring in AI safety best practices when agents or sensitive data are in scope. Stay involved through first production handoff, then return the repeatable design to scale across similar customers.

 3. Enablement and field leadership
Document what worked at the account so the next deal in the vertical does not start from zero. Train sales and field engineers on how these accounts buy and deploy. Represent Supermicro with customers, partners, and at industry events in Life Sciences, Healthcare, or Financial Services.