Forward Deployed Financial Engineer - Applied AI

Datarails
United States
Workplace: RemoteFull timeUSD 120,000 - 150,000 annuallyFunction: Data Science & Machine LearningSkills: ["Customer-facing discovery","Problem-solving","Communication","Stakeholder management","Ownership"]

Lead discovery and delivery of AI transformation engagements for Datarails customers, turning ambiguous business needs into working, customer-facing AI solutions. Build and ship LLM-based systems such as agents, skills, routines, workflows, and applications on top of Datarails, Claude, and connected customer systems. Define testing and evaluation for reliability, partner with Customer Success, Product, and R&D, and translate learnings into repeatable platform capabilities.

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FursaFursa
Datarails
Datarails
4 days ago

Forward Deployed Financial Engineer - Applied AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Lead discovery and delivery of AI transformation engagements for Datarails customers, turning ambiguous business needs into working, customer-facing AI solutions. Build and ship LLM-based systems such as agents, skills, routines, workflows, and applications on top of Datarails, Claude, and connected customer systems. Define testing and evaluation for reliability, partner with Customer Success, Product, and R&D, and translate learnings into repeatable platform capabilities.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Lead discovery sessions with customers to understand processes, challenges, goals, and AI transformation opportunities.
  • •Develop comprehensive recommendations and solution plans for customer AI transformation projects.
  • •Design, build, and ship customer-facing AI solutions (agents, skills, routines, workflows, and applications) on top of Datarails, Claude, and connected systems.
  • •Define how solutions are tested and evaluated to ensure reliability before customer use.
  • •Own engagements from initial discovery through development and delivery, working with customers and cross-functional Product, R&D, and Customer Success teams.

Pay and Benefits

Salary: USD 120,000 - 150,000 annually
Perks:Parental Leave401kHealth InsuranceVisionDentalPaid LeaveEquityLife Insurance

Key Requirements

  • •Experience building and shipping LLM-based systems for real users (agents, tool use, retrieval, prompt/context design, evaluation).
  • •Hands-on production experience with Python or TypeScript, plus SQL and REST APIs.
  • •Experience deploying solutions beyond a laptop, including APIs/integrations, a cloud environment, and authentication.
  • •Ability to translate ambiguous business challenges into clear technical recommendations and communicate tradeoffs to technical and non-technical stakeholders.
  • •Comfort working independently and owning projects end-to-end from discovery through development and delivery.
Skills:Customer-facing discoveryProblem-solvingCommunicationStakeholder managementOwnership
Tech Stack:PythonTypeScriptSQLREST APIsLLMAgent frameworksModel Context ProtocolTool useRetrievalPrompt and context designEvaluationClaudeAPIsIntegrationsCloud environmentAuthenticationFinance workflowsERP integrations

Company Brief

Datarails
Provides an FP&A platform that automates budgeting, forecasting, reporting, and financial planning for finance teams. It connects data from spreadsheets and business systems to help organizations analyze performance and make faster decisions.
Industry: SaaS
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Headquarters: New York, United States
Founded: 2015
WebsiteLinkedIn