Forward Deployed AI Engineers (FDEs)

A.I. Driven, Inc.
New York, United States of America
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
New York, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Automation of Tests
Azure
Cloud Computing
Code Generation
Decision Support Systems
Python
Rapid Prototyping Process
Salesforce
Software Engineering
Unstructured Data
Workflow Management Systems
Large Language Models
Multi-Agent Systems
Prompt Engineering
Model Validation
Data Management
Virtual Agents
Code Restructuring
ServiceNow
Microservices

Job description

We are looking for Forward Deployed AI Engineers (FDEs) to partner with one of the largest healthcare payers in the U.S. to redefine business processes using AI and agentic workflows. This role goes beyond traditional engineering. You will work directly with business and technology teams to design, build, and deploy AI agents that transform how healthcare operations function, while enabling teams to become AI-native and self-sufficient. You will operate at the intersection of AI, engineering, and healthcare operations, delivering real-world impact across critical payer workflows.Key Responsibilities:* Reimagine and redesign healthcare processes using AI-first principles

  • Identify opportunities to replace or augment manual workflows with AI agents
  • Partner with business stakeholders to translate problems into working AI solutions
  • Design, build, and deploy AI agents for enterprise workflows
  • Implement multi-agent systems using LLMs (prompting, memory, tool usage)
  • Rapidly prototype and productionize solutions using platforms such as: OpenAI, Anthropic, Google (Gemini)
  • Embed with client teams (business + IT) to Whiteboard solutions
  • Build prototypes in days/weeks
  • Deploy and iterate rapidly
  • Operate as a trusted advisor + builder, not just a developer
  • Leverage AI across the full software lifecycle: Code generation and refactoring, Automated testing and validation, Documentation and observability
  • Drive productivity improvements across engineering teams
  • Train business and ops teams to use AI tools and agents effectively, build and iterate workflows independently, develop reusable playbooks and frameworks
  • You will work on transforming core healthcare processes such as: Claims Processing & Adjudication, Automate intake, validation, and exception handling
  • Prior Authorization - AI-driven clinical review, decision support, and workflow orchestration
  • Member & Provider Contact Center - Intelligent agents for call routing, resolution, and digital containment
  • Provider Data Management - Data intake, validation, and directory accuracy
  • Care Management & Utilization Review - AI-assisted case management and risk identification, * Opportunity to scale from small pods to enterprise-wide transformation programsSuccess Metrics: * Number of business workflows transformed using AI
  • Reduction in manual effort / cost-to-serve
  • Adoption of AI tools by business teams
  • Speed of prototyping * production deploymentNice to Have: * Experience with healthcare platforms (claims, CRM, contact center)
  • Exposure to tools like Salesforce, ServiceNow, or Epic integrations
  • Prior experience with companies like Palantir Technologies or similar forward-deployed modelsWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Requirements

  • Revenue Cycle & Payment Integrity - Fraud, waste, and abuse detection using AIRequired Skills & Experience:* 6-12+ years of experience in software engineering, AI, or related fields
  • Strong software engineering background (Python, APIs, microservices)
  • Experience with LLMs, prompt engineering, and AI frameworks
  • Familiarity with agent frameworks (LangChain, Semantic Kernel, etc.)
  • Cloud experience with Amazon Web Services, Microsoft (Azure)
  • Experience building AI/ML or LLM-powered applications
  • Understanding of structured + unstructured data pipelines
  • Knowledge of model evaluation, monitoring, and governance
  • Ability to work directly with business stakeholders
  • Strong problem-solving and communication skills
  • Experience in rapid prototyping and iterative delivery
  • Experience in U.S. healthcare payer or PBM environments
  • Understanding of claims, prior auth, or care management workflows
  • Familiarity with regulatory and compliance considerations (HIPAA, etc.)
  • Prior experience in client-facing or consulting roles preferredWhat Makes This Role Unique

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