Forward Deployed Engineer III, Google Cloud, Applied AI at Google
Boulder, CO
$174,000–$253,000from the description
Jul 22, 2026
Boulder, CO
Jul 23, 2026
What this job asks for AI summary
A customer-facing engineering role focused on taking early-stage conversational AI prototypes and hardening them into production-grade agentic systems on Google Cloud. Day-to-day work involves architecting multi-agent workflows, building evaluation and observability pipelines, and integrating AI systems with enterprise infrastructure such as APIs and legacy data sources — largely on-site with large enterprise customers. Suits mid-level engineers with hands-on AI/cloud development and full-stack experience.
Senior level · 5+ years · San Francisco-Oakland-Hayward, CA · Bachelor's required · Full-time
Advertised as Mid, but the requirements read as Senior.
“or” means any one of them counts — you don't need all of them.
Posted 3 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 1,250 people in the San Francisco-Oakland-Hayward, CA area plausibly meet what this posting asks for (software developers). range 920–1,600
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $190,744 (middle half $167,095–$224,501). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
The posting lists multiple possible work locations (San Francisco CA, Atlanta GA, Austin TX, Addison TX, Detroit MI, Houston TX, Sunnyvale CA); San Francisco is listed first and is the primary CBSA used here, but candidates may be based in any of those metros.
The title carries 'III' and the posting header explicitly labels this 'Mid Experience,' but the actual requirements — 5 years of software development, architecting AI systems, deploying infrastructure, and building full-stack enterprise applications — support a Senior classification.
Python is required with 5+ years explicitly stated; 'or similar coding languages' is noted but Python is the named primary language.
GCP is the named cloud platform; the qualifier 'e.g.' signals it is the primary example but the requirement is for cloud AI architecture experience broadly — AWS and Azure listed as alternatives.
Terraform is required; 'or similar tools' signals interchangeability — Pulumi and CloudFormation listed as alternatives.
'Full-stack development' is retained as a skill because the JD explicitly gates on 'building full-stack applications that interact with enterprise IT infrastructures' in the minimum qualifications; no single canonical framework is named.
Multi-agent systems frameworks (ReAct, self-reflection), RAG optimization, Gemini, and Vertex AI appear only under preferred qualifications or in narrative/responsibilities context — marked preferred accordingly.
Compensation is $174,000–$253,000/year base plus a 15% bonus target and equity; the bonus and equity are not captured in the comp fields, which reflect base salary only.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): full-stack development.
Read the full posting
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