Senior Systems Engineer, Enterprise AI Platforms

Core Weave is The Essential Cloud for AI™. Built for pioneers by pioneers, Core Weave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, Core Weave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, Core Weave became a publicly traded company (Nasdaq: CRWV) in March 2025.

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IT Engineering at Core Weave designs, builds, and operates the systems that enable our employees and acquired organizations to work securely and efficiently  team partners closely with Security, Business Development, People Ops, and Corporate functions to deliver resilient, standardized, and automation-first IT solutions that support Core Weave's rapid growth.

Core Weave is hiring a Senior AI Platform Engineer to own the design, implementation, and governance of AI across Core Weave's employee environment. You'll be the technical owner for the AI tools our employees use every day, on every surface they ship on: chat assistants, desktop apps, coding agents, AI terminals, AI browsers, workplace knowledge tools, and whatever comes next. You'll make them safe to adopt by building Core Weave's guardrails directly into the platform through identity, device, and tenant-level controls rather than policy documents alone.

This role is for someone who is genuinely passionate about AI and lives on its bleeding edge: someone who is already tuning agent behavior every week, has run swarms of agents and agent loops rather than just chatted with a model, and wants to keep learning at the velocity this field now moves. The tools, models, and best practices in this job will change monthly.

That should excite you, not exhaust you.

This is not a traditional AI/ML engineering role, and it is not a traditional IT administration role. It is deliberately a composite role that combines three things: production software and SRE engineering, hands‑on LLM and agent work, and enterprise IT controls across identity, devices, and SaaS. We expect strong candidates to arrive deep in two of the three and grow into the third.

Tell us which two.

What success looks like in the first year:
Core Weave employees get frontier AI capabilities before almost any enterprise on earth. When a vendor ships a new model, agent surface, or feature, you already know it's coming; you're plugged into vendor roadmaps, betas, and the community and you have an evaluated, governed rollout ready in days, not quarters. That speed is possible because of the foundation you build in year one: sanctioned tools governed through identity, a connector and MCP allowlist in production, an intake process so "is this allowed" has an answer, internal agents shipping through an IT‑owned gateway, and leadership visibility into usage, cost, and risk.

The foundation is the floor; the pace is the job.

AI platform lifecycle and governance

• 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 support, tenant design, rollout, configuration management, and ongoing operations.
• Keep the Platforms in Scope list current as the market moves.
• Establish Core Weave'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 service, and enablement content that helps employees use AI tools well and safely.

Guardrails as enforceable controls

• Design and implement AI guardrails as enforceable controls, in partnership with Enterprise…