The Giant Bullseye

Job Description Job Description Role Overview We are hiring Forward Deployed AI Engineers (FDEs) to partner with one of the largest healthcare payers in the U.S. to drive AI-led transformation across core business workflows . This is not a traditional engineering role. 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 Responsibilities1. AI-Driven Business Transformation Redesign healthcare processes using AI-first principles Identify opportunities to replace or augment manual workflows with AI agents Translate business problems into working AI solutions 2. Agentic AI Design & Deployment 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) 3. Forward Deployed Execution Work directly with client teams (business + IT) to: Whiteboard solutions Build prototypes in days/weeks Deploy and iterate rapidly Operate as a trusted advisor and builder 4. AI-Augmented SDLC Leverage AI across the software lifecycle: Code generation and refactoring Automated testing and validation Documentation and observability Drive productivity improvements across engineering teams 5. Enablement & Adoption Train business and operations teams to: Use AI tools and agents effectively Build and iterate workflows independently Develop reusable playbooks and frameworks Domain Focus (Healthcare Payer Workflows) Claims Processing & Adjudication Prior Authorization Member & Provider Contact Center Provider Data Management Care Management & Utilization Review Revenue Cycle & Payment Integrity Required SkillsTechnical Strong software engineering background ( Python, APIs, microservices ) Experience with LLMs, prompt engineering, and AI frameworks Familiarity with agent frameworks (LangChain, Semantic Kernel, etc.) AI & Data Experience building AI/ML or LLM-powered applications Understanding of structured and unstructured data pipelines Knowledge of model evaluation, monitoring, and governance Cloud Experience with: AWS Azure Consulting Mindset Strong communication and stakeholder management Ability to work directly with business teams Experience in rapid prototyping and iterative delivery Preferred Experience in U.S. healthcare payer or PBM environments Understanding of claims, prior auth, or care management workflows Familiarity with regulatory/compliance (HIPAA) Experience 6-12+ years in software engineering, AI, or related roles Prior client-facing / consulting experience preferred What Makes This Role Unique Work at the forefront of AI-driven enterprise transformation Build real-world AI agents replacing traditional workflows Direct business impact through a forward-deployed model Opportunity to scale from pilot solutions to enterprise-wide programs Success Metrics Number of workflows transformed using AI Reduction in manual effort and cost-to-serve Adoption of AI tools by business teams Speed from prototype to production