Principal Forward Deployed Engineer

The opportunity Unity is hiring a Principal Forward Deployed Engineer to embed with departments across the company and transform how they work using AI, agents, and automated workflows. You will sit inside Engineering, but spend most of your time embedded with our partner functions — Finance, Legal, Marketing, People, Operations, etc. — learning how the work actually gets done today and building what is needed to make it run faster, more reliably, and with less manual effort. You will write production code, design and deploy agents, build the integrations that make them useful, and partner with people who do not think like engineers. This is a Principal individual-contributor role for someone who can ship real software, hold their own in a room with a department's leadership, and figure out what to build when the problem statement results in ambiguity. Join us and help define how Unity puts AI agents to work across the company. What you'll be doing Embed with a partner department and learn their workflows, decision points, systems, and unwritten rules well enough to know where AI will earn its keep and where it won't. Design, build, and ship agents and automated workflows that solve real problems in that department — replacing manual work, unblocking bottlenecks, and surfacing information that is currently buried. Write production-grade code across the stack: integrations [... source excerpt omitted ...] eoffs rather than pitches. Bring patterns back to Engineering, so what you learn in one function makes the next deployment to another faster. What we're looking for Significant production software engineering experience — services, integrations, data pipelines, and APIs. You ship code; you don't just design it. Hands-on experience building with LLMs and agentic systems: prompt and context engineering, tool use, retrieval, evals, agent loops, and failure modes. You have shipped something agentic that real people used. Hands-on familiarity building with agentic coding tools such as Claude Code or Codex. Strong instincts for working with non-engineering partners — you can sit in [... source excerpt omitted ...] oyed Engineer, internal tooling, or solutions engineering experience at a company doing serious AI deployment. Experience designing evals and observability for agentic systems in production. Familiarity with MCP, tool-calling frameworks, or agent orchestration platforms. Additional information International relocation support is not available for this position Mountain View, SF/Bay: $227,900 - $341,900 Bellevue, Seattle, NYC, Remote CA: $202,800 - $304,200 Rest of US: $179,500 - 269,300 This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as a