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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