Senior Systems Engineer, Enterprise AI Platforms

What Youll Do:

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 standardized and automation-first IT solutions that support CoreWeaves rapid growth.

About the role:

CoreWeave is hiring a Senior AI Platform Engineer to own the design implementation and governance of AI across CoreWeaves employee environment. Youll 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. Youll make them safe to adopt by building CoreWeaves 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: CoreWeave 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 its coming; youre 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 CoreWeaves 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 Security and IT Identity and Access: SSO and SCIM provisioning role- and group-based feature entitlement data-retention and training opt-out settings browser-extension and desktop-app policy and device-trust requirements for access.
• Build and operate connector and MCP allowlists with data-source scoping across Okta Google Workspace Slack Atlassian GitHub ITSM and HRIS.
• Partner with Enterprise Security Legal and Privacy to translate acceptable-use data-classification and regulatory requirements into technical policy and support audits with the evidence those controls produce.

Infrastructure youll own

• The IT-owned control layer for CoreWeaves internal chatbots and agents: the gateway identity secrets MCP allowlisting logging rate limiting and cost attribution in front of the serving stack deployed on CoreWeave infrastructure alongside the teams that run it.
• Inference endpoints agent hosts and developer AI tooling on managed devices treated as managed endpoints with a lifecycle configuration baselines and observability.
• The IT-owned share of CoreWeaves internal MCP servers reusable agent skills and shared agent configuration (system prompts and instruction files tool policies) plus the identity logging and allowlisting standards with reference implementations that agents and MCP servers built by other teams must meet.

Operations reliability and telemetry

• Hold the AI services you own to SRE standards: automation and infrastructure-as-code for everything repeatable reliability targets on-call and incident response.
• Instrument usage cost quality and risk telemetry across AI platforms and build the dashboards and alerting that show leadership what is being used by whom and at what spend.
• Serve as the senior escalation point for AI tooling issues.
• Communicate clearly and proactively with executives cross-functional partners and employees.

Who You Are:

• 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 workflows and agent loops or enterprise administration of tools such as Claude ChatGPT Enterprise Copilot Gemini Glean or Rovo. You have shipped or run something with these not just used them.
• 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 (Terraform for Okta or Google Workspace CI/CD for device and SaaS configuration API integrations a company depended on) and are ready to go deeper on containers and observability.
• A working understanding of how enterprise IT control systems function even if you have not administered them yourself:
  • Identity and access: how SSO SCIM SAML/OIDC and OAuth grant scope and revoke access and what Conditional Access Device Trust and Zero Trust mean in practice.
  • Endpoint and device management: how MDM and device-trust tooling enforce policy on a managed laptop or browser.
  • SaaS administration: how permission and data-sharing models in tools like Google Workspace Slack Atlassian and GitHub decide who can see what.
• Proven ability to produce clear technical documentation and lead complex cross-functional technical initiatives.

Preferred:

• Real-world experience administering one or more of these at enterprise scale: identity (Okta or Entra ID) endpoint management (Apple MDM/DDM Jamf Kandji Munki Intune Chrome Enterprise) or SaaS platforms (Google Workspace Slack Atlassian GitHub).
• Experience deploying and governing enterprise AI tools across a 1000 person organization.
• Hands-on experience building custom Model Context Protocol (MCP) servers and integrations authoring reusable agent skills and shaping agent behavior through system prompts and repository-level instruction files ( or equivalent).
• Working knowledge of data governance for AI: data classification retention training opt-out DLP and the audit and logging capabilities of the major AI vendors.
• Experience self-hosting and serving models.
• Familiarity with compliance frameworks such as SOC 2 ISO 27001 SOX and GDPR and with emerging AI governance standards such as NIST AI RMF and ISO/IEC 42001.

Wondering if youre a good fit

You may be a great fit if you already run swarms of agents and agent loops for your own work; youve been the person who figured out how to say yes safely to a new AI tool instead of no; youre curious about how an Okta policy or an MDM profile actually enforces a rule and youd rather build the control than write the memo; you think endpoints are wherever work happens; and you love turning ambiguous governance requirements into concrete automated testable controls.

Why CoreWeave

At CoreWeave we work hard have fun and move fast. Were in an exciting phase of hyper-growth embracing a little chaos while constantly learning and improving. Our teams care deeply about how we build and how we work together guided by our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff the organizations growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry who will want to learn from you too. Come join us!

The base salary range for this role is $182000 to $242000. The starting salary will be determined based on job-related knowledge skills experience and market location. We strive for both market alignment and internal equity when determining addition to base salary our total rewards package includes a discretionary bonus equity awards and a comprehensive benefits program (all based on eligibility).

What We Offer

The range weve posted represents the typical compensation range for this role. To determine actual compensation we review the market rate for each candidate which can include a variety of factors. These include qualifications experience interview performance and location.

In addition to a competitive salary we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations benefits vary and are shared during the hiring process. These include:

• Medical dental and vision insurance - 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

California Applicants

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Equal Opportunity & Accommodations

CoreWeave is an equal opportunity employer committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race color religion sex disability age sexual orientation gender identity national origin veteran status or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA) CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process unless such accommodation would cause an undue hardship. If reasonable accommodation is needed please contact: .

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information applicant must either be (A) a U.S. person defined as a (i) U.S. citizen or national (ii) U.S. lawful permanent resident (green card holder) (iii) refugee under 8 U.S.C. 1157 or (iv) asylee under 8 U.S.C. 1158 (B) eligible to access the export controlled information without a required export authorization or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may for legitimate business reasons decline to pursue any export licensing process.