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AdaptiveAdaptiveNew York, NY

Solutions Architect

Forward-deployed Solutions Architect configuring, testing, and launching AI agents that automate construction finance operations (compliance, billing, AR, forecasting) for customers post-sale. Requires hands-on LLM/agent deployment experience, structured data skills, and construction finance knowledge.

140k – 200k/yr
On-site5+ YOESolutions Architecture

About the role

What you'll do

  • Design and configure AI agents for production customer environments: triggers, tools, approval gates, override paths, dry-run modes
  • Decompose real-world finance workflows into agent skills, and make the judgment calls on where automation is reliable versus where it needs a human in the loop
  • Test, debug, and iterate: when an agent produces a wrong output, trace whether the failure is in the prompt, the data, or the process design
  • Build integrations and data pipelines between customer ERPs and Adaptive, including one-off migrations from legacy systems
  • Validate financial output: trace agent-produced numbers back to source and fix the logic when it is wrong
  • Run onboarding through go-live: prerequisites, configuration, training, and the first month of production operation
  • Document what you build so every deployment makes the next one faster

What you bring

  • Hard requirement — AI fluency and agent design. You build with AI, not just talk about it. Deep hands-on experience with LLMs as a working instrument: prompt engineering, agent architecture, and workflow design. Demonstrated experience deploying agents or LLM-powered workflows for real users — production, not prototypes.
  • Structured thinking about data: expert Excel, comfort reading API docs and data models, SQL or scripting a plus
  • Construction finance literacy (WIP, percentage-of-completion, job costing, AIA billing, retainage, COI compliance) or the domain depth to learn it fast and hold your own with a controller
  • Familiarity with construction ERPs (Sage Intacct, Sage 300 CRE, Vista, Spectrum, Acumatica) and Procore’s data model is a strong plus
  • Customer-facing composure: you can run a working session with a controller, manage expectations through a rocky deployment, and communicate clearly in writing
  • High ownership and comfort with ambiguity. You define the playbook rather than follow one

What we offer

  • Competitive salary plus meaningful equity
  • Comprehensive health, dental, and vision insurance
  • 401(k) match and flexible PTO policy
  • A seat at the table in a rapidly scaling vertical AI startup
  • Unlimited opportunities for professional growth and leadership

Skills

LLMsPrompt Engineeringagent architectureai agent designSQLERP Systemssage intacctprocoreExcelAPI Integrations
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