Greenhouse ·
full-timeIT Engineer, Internal AI Infrastructure
Figma · San Francisco, CA • New York, NY • United States
Figma provides a collaborative design platform that enables teams to create, prototype, and ship products together in real time. The Internal AI Infrastructure team within Figma’s Business Technology organization builds the shared runtime and tooling that lets employees across sales, recruiting, finance and other functions develop and use AI applications safely and at scale. As an IT Engineer focused on the Infrastructure & Hosting pillar, you would design and implement the hosting golden path for internal AI apps, bots and agents, including patterns for long‑running workflows, scheduled jobs and agent execution. You would also build a model‑routing layer that directs tasks to the appropriate frontier or cost‑effective models while maintaining full audit trails, and you would establish observability, usage analytics, audit logging and per‑team cost attribution for AI workloads. Integration with identity and access systems (such as Okta) to enforce security guardrails for sensitive data, and collaboration with product AI infrastructure teams to share gateways and telemetry, are core parts of the role. The position suits engineers with several years of backend or platform experience, a track record of building internal platforms that others adopt, strong system‑design skills, hands‑on experience with LLM operations, model gateways or agent runtimes, and familiarity with enterprise identity and access management.
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma employees are among the most AI-active in the industry, and our Internal AI team exists to make that energy compound rather than fragment. Sitting within FTS (our Business Technology org), the team owns the shared rails for employee-facing AI: the platforms that lets every Figmate, from sales to recruiting to finance, build and use AI tools that are governed, reliable, and reusable. We're a small, high-leverage team organized around three pillars: Platform & Tooling, Infrastructure & Hosting, and Applied AI Builds. This role anchors the Infrastructure & Hosting pillar. This is the runtime layer everything else depends on. You'll design and build the paved path that takes an internal AI app, bot, or agent from prototype to production: shared hosting and execution infrastructure, model routing that directs each task to the right model based on cost and capability, and the telemetry, audit, and cost-attribution layer that gives our security and finance partners visibility no one at Figma has today. You'll work closely with our IT Engineering team on identity and access patterns, with Security on guardrails for sensitive-data workflows, and with the AI infrastructure teams building Figma's product to share gateways and avoid duplicate layers. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Design and build the hosting golden path for internal AI applications, bots, and agents, including runtime patterns for long-running workflows, scheduled jobs, and agent execution Build the model routing layer that directs tasks across frontier and lower-cost models based on cost, capability, and policy with a full audit trail Stand up observability, usage analytics, audit logging, and per-team cost attribution for AI workloads across the company Integrate identity, access, and security patterns (Okta-connected by default) so every internal AI app is safe on day one, including the sanctioned path for workflows touching customer, financial, or people data Partner with engineers on our product AI infrastructure teams to share gateways and telemetry rather than building parallel systems Help shape the team's platform strategy, roadmap, and engineering best practices as a founding member of the infrastructure pillar We'd love to hear from you if you have: 5+ years of software engineering experience, with significant time in infrastructure, platform, or backend engineering A track record of building internal platforms or paved paths that other engineers and teams adopted, not just maintained, with excellent communication skills collaborating across security, IT, and business teams Strong system design skills and experience architecting resilient, observable production systems Hands-on experience with LLM operations: model gateways or routing, agent runtimes, evals, or cost/usage instrumentation Experience with identity and access management in an enterprise environment (e.g., Okta, SSO, secure service-to-service auth) While it's not required, it's an added plus if you also have: Experience building internal AI platforms or workspaces (the Ramp Glass / JPMorgan LLM Suite category) or developer platforms at a comparable scale Familiarity with MCP, agent orchestration frameworks, or skill/plugin registry patterns Experience working within audit and compliance programs (SOX/ITGC) or building systems with audit requirements A history of being the first infrastructure hire on a small team, comfortable setting standards from scratch across a broad scope of responsibilities At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family
| Role | IT Engineer, Internal AI Infrastructure |
|---|---|
| Company | Figma |
| Location | San Francisco, CA • New York, NY • United States |
| Compensation | Not disclosed |
| Posted | 2026-08-27 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4IT Engineer, Internal AI Infrastructure at Figma: frequently asked questions
- What is the salary for this role?
- Figma has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the IT Engineer, Internal AI Infrastructure position remote, hybrid or onsite?
- The listing gives San Francisco, CA • New York, NY • United States as the location and does not state a work mode.
- What is the application deadline?
- Figma has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the IT Engineer, Internal AI Infrastructure role?
- Use the Apply button on this page. It opens the original listing on boards.greenhouse.io, where you submit your application with the company.
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['Hybrid location (San Francisco, NYC)', '3+ years experience required', 'On-call rotation']