Forward Deployed Financial Engineer - Applied AI

New
D
DatarailsFinance Technology
Based anywhere in the United States, work your local time zoneFull-TimeMiddle
Salary$120-150k USD per year
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Job Details

Required Skills
PythonSQLTypeScriptRESTful APIsPrompt EngineeringLLM

Requirements

  • Strong customer-facing skills and the ability to run discovery with finance teams.
  • Ability to own a problem from the first conversation through to a working solution.
  • Experience building and shipping LLM-based systems for real users (agents, tool use, retrieval, prompt design, evaluation).
  • Understanding of business domain value and mapping it to AI use cases.
  • Experience with deployment (APIs, integrations, cloud environments, authentication).
  • Production experience in Python or TypeScript.
  • Proficiency with SQL and REST APIs.
  • Hands-on experience with modern LLM tooling such as agent frameworks and Model Context Protocol.
  • Ability to translate ambiguous business challenges into clear technical recommendations.
  • Product-oriented mindset and system-level thinking.
  • Ability to collaborate effectively across cross-functional teams.

Responsibilities

  • Lead discovery sessions with customers to understand their processes, challenges, goals, and AI transformation opportunities.
  • Develop comprehensive recommendations and solution plans for customer AI transformation projects.
  • Design, build and ship customer-facing solutions, including AI agents, skills, routines, workflows and applications.
  • Define how the solutions you build are tested and evaluated.
  • Take ownership of projects from initial discovery and recommendation through development and delivery.
  • Work directly with customers throughout the engagement, translating business requirements into practical technical solutions.
  • Engage customers in change management, helping usher their teams into a more AI-native way of working.
  • Partner closely with Datarails Customer Success, Product and R&D teams to troubleshoot challenges and influence product development.
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$120-150k USD per year
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