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Built Technologies

Staff AI Solutions Engineer

Reposted 11 Hours Ago
Easy Apply
Remote
Hiring Remotely in USA
150K-205K Annually
Senior level
Easy Apply
Remote
Hiring Remotely in USA
150K-205K Annually
Senior level
The Sr. AI Solutions Engineer will manage customer onboarding for the Agentic AI product, translating workflows, troubleshooting issues, and ensuring client success.
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COMPANY OVERVIEW 

About Built

Built is the AI-powered platform transforming the way real estate is financed, developed, and managed. Purpose-built for real estate and construction, Built began by fixing construction draw management for lenders and has grown into a comprehensive operating system addressing some of the industry’s most complex challenges. Through its connected product suite, Built enables stakeholders to finance, develop, build, own, and operate smarter—all in one place. The platform brings together loans, deals, portfolios, payments, inspections, and collaboration to deliver faster execution, greater transparency, efficiency, and trust across the industry.
Today, Built is a partner to more than 350 lenders, over 80,000 borrowers and owners, and thousands of contractors, powering 86,000 active projects valued at more than $300 billion. Learn more at getbuilt.com:

  • Life At Built & Habitat Build
  • Series D Financing Round
  • Built Recognized in Two American Business Award Categories
  • Built Secures Investment from Citi

Sr. AI Solutions Engineer

About This Role

Built’s new Agentic AI product helps lenders automate high-leverage operational workflows. As our Sr. AI Solutions Engineer, you’ll be the hands-on technical owner for driving customer onboarding and adoption — designing, building, and tuning agent workflows, prompts, and evaluations.

This role sits within Built’s AI Solutions & Implementations Team and reports to the Head of Implementations. It exists to scale customer delivery and adoption for our new Agentic AI platform as we move from pilot to broad rollout — ensuring our clients achieve measurable value while shaping how the product evolves.

You’ll partner with an Implementation Manager and an Agent Analyst and act as the technical expert to ensure customers love the product and get tremendous value.

What You’ll Do
  • Own prompt engineering & agent workflow design (tool/function calling, structured outputs, guardrails).
  • Translate client SOPs into production workflows; ensuring we account for the specific nuances of each client.
  • Operate and iterate with real client data to launch; troubleshoot and resolve issues quickly. Back-test new changes to existing data to ensure nothing breaks.
  • Act as the technical escalation point for 6–8 concurrent customers; enable clients and our Agent Analysts on best practices.
  • Instrument and report performance, create reusable templates/runbooks, and feed product requirements to Engineering.
What Success Looks Like

30 Days: You’ve learned the platform, shadowed multiple customer implementations, and built your first workflow end-to-end.

60 Days: You’re owning technical delivery for active implementations and driving measurable value for customers.
90 Days: You’ve built repeatable patterns, contributed to product feedback loops, and are trusted as the technical point person for new customer launches.

What You’ll Bring
  • Experience in a customer-facing technical role (Solutions Engineer / Sales Engineer / Implementation Engineer) at a data/AI/infra company (e.g., Snowflake, Databricks, similar).
  • Deep, practical prompt engineering expertise (few/zero-shot design, tool/function calling, structured outputs, agents, retrieval).
  • Experience building agentic workflows with LLM providers (OpenAI/Anthropic/Azure).
  • Strong software engineering fundamentals; fluent in Python and/or TypeScript, REST/GraphQL APIs, and SQL.
  • Comfort creating evaluation pipelines, A/B tests, and analytics to measure quality, safety, and cost.
  • Excellent client communication—able to translate messy SOPs into deterministic workflows and drive to outcomes on tight timelines.
  • Bonus: Fintech/banking or B2B enterprise SaaS background; Snowflake/Databricks integrations; prompt observability/guardrails (e.g., Langfuse/MLflow-like tools); security & compliance awareness (SOC2, PII handling).

Built’s salary range for this position is $150,000 - $205,000 USD per year. The pay range is designed to accommodate upward mobility in the role, therefore it encompasses the full span of proficiency levels for this role and we believe that the midpoint of the range is competitive in the market. Salary is just one component of Built's total compensation package for employees. Your total rewards package at Built will include equity, top-notch medical, dental and vision coverage, an unlimited PTO policy, and other benefits.

Perks:

  • The rare opportunity to radically disrupt a $1.5T industry
  • Competitive benefits including: uncapped vacation, health, dental & vision insurance
  • 401k with match and expedited vesting 
  • Robust compensation package, including equity in the form of stock options  
  • Flexible working hours, paid family leave, ERGs & Mentorship opportunities 
  • Learning grant program to support ongoing professional development

Built brings together passionate people who are driven in a variety of disciplines, each bringing their unique perspective to everything they do. 

We’re committed to building a safe, inclusive workplace where every employee can succeed, and we recruit, hire, and promote fairly - without bias based on race, color, religion, sex, sexual orientation, gender identity, marital status, veteran status, or any other characteristic protected by law.

Greenhouse DisclosureWhen you apply to a job on this site, the personal data contained in your application will be collected by Built Technologies (“Controller”). Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes.Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf.Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for current or future employment. You have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability.If you would like to contact Controller to ask questions surrounding processing of your personal data or to make a request, you can send an email to [email protected].For California residents: Please note that Controller does not sell your personal data or share it with third parties outside of Greenhouse Software, Inc.

Top Skills

GraphQL
Python
Rest
SQL
Typescript

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