Product Solutions Architect at Evolver
Palo Alto, CA
—
Aug 7, 2026
Palo Alto, CA
Sep 24, 2026
What this job asks for AI summary
A forward-deployed architect role at an AI startup, responsible for configuring and integrating the company's ARIA generative-AI platform into complex enterprise customer environments. Day-to-day work involves calibrating platform behavior to client data structures and risk parameters, building business-rule logic with domain experts, running automated validation protocols, and feeding reusable templates back into a shared delivery methodology. Best suited to someone with a strong engineering foundation who can bridge applied research, platform engineering, and regulated-industry deployment.
Senior level · Master's required
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
What the occupation pays Median $119,144 (middle half $81,115–$160,963).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 8, 2026. It is a model, not a headcount.
Why we read it this way (5)
No work location is stated anywhere in the posting — CBSA and state are left blank. The role appears US-based given the company context but this is not confirmed.
The degree requirement states 'Master's degree … or equivalent practical experience.' Strictly read, the 'or equivalent experience' clause would normally yield the degree requirement of None, but the posting places this under 'Minimum Qualifications' with no softening language beyond the equivalency clause — treated as a hard gate at the Master's level for candidates without equivalent experience. Hiring managers should note the equivalency path is explicitly offered.
No specific programming languages, cloud platforms, or named tooling are mentioned anywhere in the posting. The skills extracted reflect the concrete capability domains the JD gates on; there are no named technologies to capture beyond these.
SOC classification is uncertain: the role blends solutions/systems architecture (15-1211) with forward-deployed platform engineering and AI pipeline work (15-1299). 15-1299 was chosen as the primary code because the role's primary output is configuring and validating a proprietary AI platform rather than pure business/systems analysis.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data engineering.
Read the full posting
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