Role Brief:
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
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
Work at the forefront of AI-driven enterprise transformation
Build real-world AI agents that replace traditional workflows
Operate in a forward-deployed model with direct business impact
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 modelsOriginally posted on Himalayas
