[Hiring] Forward Deployed AI Engineer @The Giant Bullseye

Role Description

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 Responsibilities

• 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
• 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)
• 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
• 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
• 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

Qualifications

• Technical
  • 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
  • Experience with Azure
• Consulting Mindset
  • Strong communication and stakeholder management
  • Ability to work directly with business teams
  • Experience in rapid prototyping and iterative delivery

Requirements

• 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