Field Solutions Architect III, Generative AI, Google Public Sector at Google
Boulder, CO
$183,000–$266,000from the description
Jun 29, 2026
Boulder, CO
Jul 21, 2026
What this job asks for AI summary
This role sits within Google Public Sector's Rapid Innovation team, where the primary work involves building generative AI prototypes and end-to-end solutions for government and education customers on Google Cloud. Day-to-day responsibilities include hands-on model prompting, fine-tuning, and benchmarking, as well as troubleshooting AI applications and producing reusable technical assets. It suits an experienced applied AI or cloud architect comfortable working directly with federal clients and holding — or able to obtain — a Top Secret/SCI clearance.
Senior level · 8+ years · Washington-Arlington-Alexandria, DC-VA-MD-WV · Bachelor's required · TS/SCI clearance · Full-time
“or” means any one of them counts — you don't need all of them.
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
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $158,337 (middle half $126,441–$180,105). 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 (11)
The role title includes 'III', which at Google typically maps to a senior individual-contributor level; seniority is assessed as Senior based on the 8-year experience gate and scope of work.
SOC classification is Medium confidence: the role is primarily about building and prototyping generative AI applications (15-1252 Software Developers), but has a strong ML/AI design component that could also fit 15-2051 Data Scientists.
The '8 years of experience in Python or other programming languages in machine learning' requirement is stated as a single gate; Python is listed as the primary language with Java, C++, and Go as named alternatives.
Cloud platform experience is required generically ('a cloud platform'); Google Cloud is the clear implied primary given the role is at Google, with AWS and Azure as common alternatives a hiring manager would accept.
TS/SCI clearance is a hard gate: the JD states 'Active, or the ability to obtain, Top Secret/SCI security clearance' under Minimum qualifications.
Distributed training, ML pipelines, and model fine-tuning with accelerators appear only under Preferred qualifications.
The posting lists multiple possible work locations (Reston VA, Washington DC, New York NY, Atlanta GA, Austin TX, Boulder CO, Sunnyvale CA); the primary CBSA is set to Washington-Arlington-Alexandria as the first two listed locations are in that metro.
Compensation is $183,000–$266,000/year plus a 20% bonus target and equity; the bonus and equity are not captured in the comp fields, which reflect base salary only.
US citizenship is explicitly required to meet customer and compliance requirements.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): model fine-tuning with accelerators.
Requires a TS/SCI clearance — the cleared population is a small fraction of this occupation, so the real candidate pool is materially smaller than the estimate below, which does not model clearance.
Read the full posting
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