Google

Forward Deployed Engineer, Core, Applied AI

We captured this posting once, on 2026-05-22, and did not track it afterwards — so we cannot tell you whether it is still open.

Employer: Google
Location: San Jose, CA
Seniority: Senior
Experience asked for: 8+ years
Pay band: $207K – $300K

When we saw it

Posted 2026-05-04 — the date the employer published it
Archived 2026-05-22 — when we saved this copy

Found via LinkedIn — US keyword pulls.

Skills the posting named

ml designmodel deploymentmodel evaluationdata processingdebuggingfine tuningprompt engineeringagent developmentevaluation frameworksdeploymentproject strategyleadership

From the posting

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 7 years of experience leading technical project strategy, ML design, and working with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Experience with large language models (LLMs), including prompt engineering, agent development, evaluation frameworks, and deployment. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. Experience driving organization-wide initiatives (e.g., migration to new stacks, infra-wide efficiency drives) that deliver measurable improvements to engineering velocity and business outcomes. …

An excerpt. The full posting is Google's. Read it at the original source, if it is still up.

What this tells you about the FDE role

One posting is one data point. Read it alongside the rest of the archive and the market analysis — the seniority you actually need, what the role pays across levels, and which employers hire for it. If you are working out whether your background fits, start with the scorecard.

When we saw it

Skills the posting named

From the posting

What this tells you about the FDE role

Other Google FDE postings