Staff Engineer, AI Platform

What You'll Do

• Own our internal AI platform — the shared foundation teams across the company rely on to build and run AI-powered tools securely and at scale.
• Architect and write production code, own the roadmap, and keep the platform reliable, secure, and easy to build on.
• Help drive an AI mindset across the company — spotting where AI creates real leverage, setting technical direction, and raising the bar for how teams build with it.
• Engage stakeholders across engineering, product, go-to-market, and operations, turning their needs into a clear plan, and communicating it credibly to the executive level.

What You'll Bring

• Vast, Staff-level engineering experience. A long track record building and running high-scale systems, still deeply hands-on with the code.
• Real AI experience and mindset. Genuine command of how modern AI systems are built — frontier-model APIs, multi-agent orchestration, RAG, and the surfaces developers build against.
• Product sense and proactive communication. You work like a product owner as much as an engineer — finding stakeholders, shaping what they need into a roadmap, and communicating it clearly.
• Model routing and gateway experience. You've built or run a gateway that routes inference across providers on cost, latency, capability, and data sensitivity.
• Measuring and improving AI systems. Comfort with unpredictable outputs — telling whether a change helped, catching regressions, and keeping quality, cost, and safety in check.
• Security-first by design. You treat a high security bar as a design principle — guardrails, least-privilege access, human-in-the-loop escalation, monitoring, and audit for autonomous systems.
• Solid DevOps foundation. Comfortable owning the infra too — cloud, Kubernetes, CI/CD, and IaC — with a healthy security posture.
• Cross-functional influence. You lead through ownership, partnering closely with security, legal, and finance.

Advantages

• Background in a high-trust, regulated environment (fintech, security, or custody) where data sensitivity, auditability, and reliability are first-order concerns.
• A feel for how large organizations work — navigating many stakeholders, competing priorities, and cross-team dependencies to get a platform adopted at scale.
• Experience with digital assets, blockchain, or Web3 — familiarity with the domain Fireblocks operates in.