Job description

Join the Technical Fellow Office to solve hard, ambiguous problems, set the bar for technical judgment, and shape how the broader engineering organization builds — across teams and beyond our immediate department. This is Enterprise AI work: deciding which platforms, workflows, and guardrails let AI systems do real work at scale, getting them adopted by teams that don t report to you, and knowing where the frontier is heading before the organization needs to. If you want to work where cutting-edge AI meets production-grade engineering — and influence how an entire division builds — this is that role. What You ll Do Set technical direction : Form clear positions on architecture, model strategy, and build-vs-buy — and defend them under challenge from senior engineers who see it differently. Run design reviews that change outcomes, not just document them. Drive adoption : Get platforms and tooling used by teams outside your own. Understand why a team resists, and do the work to earn trust rather than mandate it. Define quality for AI : Own how we measure correctness in systems where a wrong answer looks like a right one. Build the evaluation methods and gates that catch degraded agent and model behavior before users do. Own AI cost as an engineering discipline : Routing, caching, model selection, and telemetry that make spend visible and attributable — so cost decisions are made with data, not after the invoice. Track the frontier : Spend real time outward — evaluating emerging models, harnesses, and techniques; maintaining a network of peers; bringing back a point of view on what matters and what doesn t. Advise & de-risk : Guide complex technical decisions, surface blind spots and the novel risks of autonomous systems, and help teams adopt AI pragmatically rather than by hype. Build where it matters : Prototype POCs that validate strategic bets, and contribute hands-on where your involvement changes the result — including inside other teams codebases. Rotate into the business : Periodically embed with a business function (e.g., Finance, HR) for a scoped period, bringing that team onto our AI stack and telemetry before returning to the core team — a temporary, hands-on deployment, not a permanent placement. What We re Looking For 10 years of hands-on engineering in software development, system design, or architecture. Applied AI / agentic engineering : Real experience with modern LLMs and agentic systems — context engineering, tool use, retrieval, orchestration, and evaluation — including the sharp edges: latency, cost, reliability, non-determinism, safety. Production AI systems : A track record of taking AI-driven capabilities from prototype to production with proper evaluation, monitoring, and guardrails. Adoption you can point to : Platforms or tooling you built that were taken up by teams outside your own — and what you did when they weren t. Influence without authority : Evidence of forming a technical position and holding it under challenge from senior engineers who disagreed, and of moving decisions you didn t own. Distributed systems at scale : Strong background in scalable, fault-tolerant services and data-intensive platforms. Comfortable in unfamiliar territory : Able to embed with a team you ve never worked with, learn its context fast, and leave it better than you found it. 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 annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO unity.com.

Requirements

Must-haves

If you want to work where cutting-edge AI meets production-grade engineering — and influence how an entire division builds — this is that role.
Drive adoption : Get platforms and tooling used by teams outside your own. Understand why a team resists, and do the work to earn trust rather than mandate it.
Define quality for AI : Own how we measure correctness in systems where a wrong answer looks like a right one. Build the evaluation methods and gates that catch degraded agent and model behavior before users do.
Own AI cost as an engineering discipline : Routing, caching, model selection, and telemetry that make spend visible and attributable — so cost decisions are made with data, not after the invoice.
Track the frontier : Spend real time outward — evaluating emerging models, harnesses, and techniques; maintaining a network of peers; bringing back a point of view on what matters and what doesn t.
Advise & de-risk : Guide complex technical decisions, surface blind spots and the novel risks of autonomous systems, and help teams adopt AI pragmatically rather than by hype.
Build where it matters : Prototype POCs that validate strategic bets, and contribute hands-on where your involvement changes the result — including inside other teams codebases.
What We re Looking For 10 years of hands-on engineering in software development, system design, or architecture.
Production AI systems : A track record of taking AI-driven capabilities from prototype to production with proper evaluation, monitoring, and guardrails.
Adoption you can point to : Platforms or tooling you built that were taken up by teams outside your own — and what you did when they weren t.
Influence without authority : Evidence of forming a technical position and holding it under challenge from senior engineers who disagreed, and of moving decisions you didn t own.
Distributed systems at scale : Strong background in scalable, fault-tolerant services and data-intensive platforms.
Comfortable in unfamiliar territory : Able to embed with a team you ve never worked with, learn its context fast, and leave it better than you found it.
Mountain View, SF/Bay: $227,900 - $341,900
Bellevue, Seattle, NYC, Remote CA: $202,800 - $304,200
Rest of US: $179,500 - 269,300

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Platform: workday
Effort: long

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