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Figma is seeking a Senior IT Engineer to anchor the Infrastructure & Hosting pillar of its Internal AI team, which sits within the Business Technology organization. This is a foundational role building the runtime layer that enables every employee across the company—from sales to recruiting to finance—to build and deploy AI tools safely and efficiently.
You will 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. Key responsibilities include:
• Design and implement the hosting infrastructure and execution patterns for internal AI workloads, supporting diverse runtime requirements (long-running workflows, scheduled jobs, agent execution).
• Build a model routing layer that intelligently directs tasks across frontier and lower-cost models based on cost, capability, and policy, with full audit trails.
• Establish 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 meets security requirements on day one, including sanctioned paths for workflows touching customer, financial, or people data.
• Partner with product AI infrastructure teams to share gateways and telemetry, avoiding duplicate systems.
• Shape the team's platform strategy, roadmap, and engineering best practices as a founding member of the infrastructure pillar.
You'll collaborate closely with IT Engineering on identity and access patterns, Security on guardrails for sensitive workflows, and product AI infrastructure teams on shared infrastructure.
Required qualifications: 5+ years of software engineering experience with significant time in infrastructure, platform, or backend engineering. Proven track record building internal platforms or paved paths that other teams adopted (not just maintained), with excellent cross-functional communication. Strong system design skills and experience architecting resilient, observable production systems. Hands-on experience with LLM operations (model gateways, routing, agent runtimes, evals, cost/usage instrumentation). Experience with enterprise identity and access management (Okta, SSO, secure service-to-service auth).
Desirable: experience building internal AI platforms (Ramp Glass / JPMorgan LLM Suite category) or developer platforms at comparable scale; familiarity with MCP, agent orchestration frameworks, or skill/plugin registry patterns; experience with audit and compliance programs (SOX/ITGC); history as first infrastructure hire on a small team, comfortable setting standards across broad scope.
