Solutions Architect (Post-Sales, Agent Deployment)
Adaptive
$140,000–$200,000
Jul 20, 2026
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Jul 22, 2026
What this job asks for AI summary
A forward-deployed implementation role focused on configuring and launching AI agents that automate construction finance workflows for customers post-sale. Day-to-day work involves decomposing real-world processes like compliance checks, billing, and collections into agent logic, building ERP integrations, validating financial outputs, and owning deployments through go-live. Best suited to someone with hands-on LLM and agent-building experience who can also engage directly with finance stakeholders.
Senior level · New York-Newark-Jersey City, NY-NJ-PA · 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
Roughly 520 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (computer occupations, all other). range 390–670
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
What the occupation pays Median $129,701 (middle half $84,324–$174,781).
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)
This is a forward-deployed AI implementation role — part solutions engineer, part AI builder, part systems analyst — with no clean SOC fit. 15-1299 (Computer Occupations, All Other) is the best available code; 15-1211 (Computer Systems Analysts) is a plausible runner-up given the workflow decomposition and customer-facing deployment work.
The role is listed for both New York and Boston offices; New York is used as the primary CBSA given it is named first and is the company's apparent headquarters.
AI fluency, LLM/agent deployment, prompt engineering, and agent architecture are explicitly called a 'hard requirement' and will be tested in the interview.
Excel is called out with 'expert' framing under the hard requirements block. Reading API docs and data models are also required but name no specific tool.
SQL and scripting are listed as 'a plus' within the requirements paragraph — included as preferred accordingly.
Construction ERP familiarity (Sage Intacct, Sage 300 CRE, Vista, Spectrum, Acumatica) and Procore are described as 'a strong plus', so they are marked preferred. The named ERPs are grouped as alternatives under Sage Intacct since any one would satisfy the same requirement.
Construction finance domain knowledge (WIP, percentage-of-completion, job costing, AIA billing, retainage, COI) is a stated requirement but names no specific technology or tool, so it is omitted from the skills list per extraction rules.
No compensation figures are disclosed beyond 'competitive salary plus meaningful equity'.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI agent architecture.
Read the full posting
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