Google Senior SWE — build agentic AI solutions for Legal, People Ops, and Finance

This role sits on Google's Enterprise AI team inside Corporate Engineering, applying AI/ML and agentic techniques to internal enterprise functions like Legal, People Ops, and Finance. The bar is senior-level: 5+ years building software, architecture ownership, and the ability to factor out reusable AI primitives other ML engineers can build on, plus mentoring and partnering with Product/UX on roadmap. Expect Google's standard coding + system design loop with an added lens on applied AI/agent design and responsible AI practice.

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Likely format

Standard Google SWE loop: recruiter screen, 1-2 phone screens (coding + Googleyness/leadership), then onsite virtual loop of 4-5 rounds covering coding/algorithms, system design, googleyness, and a leadership-focused round given the seniority and mentoring expectations; Hiring Committee review after.

What this interview tests

Agentic AI/LLM solution design for enterprise workflows
Reusable AI primitives and platform thinking
Software design and architecture at scale
Responsible AI application in internal enterprise contexts
Cross-functional partnership with PM/UX on roadmap
Mentoring and technical leadership

Common question themes

Design an agentic system for a Legal or Finance enterprise workflow, including guardrails

Describe a reusable component or primitive you built that other teams adopted

A time your design/architecture decision affected reliability or scaling of a system

How do you evaluate whether an AI/agentic feature is actually working for users

A time you shaped product roadmap in partnership with PM/UX, not just executed it

How you've mentored engineers or driven technical direction on a team

How candidates describe it

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