Forward Deployed AI Engineers (FDEs) R01563547

We are seeking Forward Deployed AI Engineers to partner with a major U.S. healthcare payer, designing and deploying AI agents to transform healthcare operations and workflows.

Location: United States

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
• Transform 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, Revenue Cycle & Payment Integrity - Fraud, waste, and abuse detection using AI

Requirements

• 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 preferred