Senior Systems Engineer, Enterprise AI Platforms

Job summary

Responsibilities

IT Engineering at CoreWeave designs, builds, and operates the systems that enable our employees and acquired organizations to work securely and efficiently at scale. The team partners closely with Security, Business Development, PeopleOps, and Corporate functions to deliver resilient…

• Own the end-to-end lifecycle of employee-facing AI platforms across every surface they ship on (web, desktop, mobile, IDE, terminal, and browser): evaluation, procurement…
• Keep the Platforms in Scope list current as the market moves.
• Establish CoreWeave's AI operating framework for IT: intake and review for new AI tools and agents, standards for internal bots, runbooks, a clear path from pilot to supported…
• Design and implement AI guardrails as enforceable controls, in partnership with Enterprise Security and IT Identity and Access: SSO and SCIM provisioning, role- and group-based…
• Build and operate connector and MCP allowlists with data-source scoping across Okta, Google Workspace, Slack, Atlassian, GitHub, ITSM, and HRIS.

What they're looking for

• 6+ years in software engineering, site reliability engineering, or IT systems engineering where you built and ran things in code, not just configured them.
• 2+ years of hands-on experience building with or administering LLM-based products: API integration, prompt and tool design, retrieval pipelines, agent frameworks, multi-agent…
• Strong software engineering skills in Python, Go, Rust, or TypeScript: you have built services and integrations that other people depended on and kept them running.
• Experience operating services in production (containers, infrastructure-as-code, CI/CD, secrets management, and observability), or you have automated enterprise systems with code…
• A working understanding of how enterprise IT control systems function, even if you have not administered them yourself:

Tech stack

• Python
• Go
• Rust
• TypeScript
• Terraform