AI Builder (Forward Deployed Engineer)
B
BrillioHealthcare AI
Listing location: United States; Workplace type: RemoteFull-TimeSenior
Salary130,000 - 170,000 USD per year
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Job Details
- Experience
- 8+ years of healthcare industry experience
- Required Skills
- Prompt EngineeringHIPAA
Requirements
- Have 8+ years of hands-on healthcare industry experience in health insurance operations or health system clinical and operational workflows.
- Demonstrate proficiency using Claude (Anthropic) as a development tool, including the Claude API, prompt engineering, tool use, and agentic patterns.
- Be able to build and ship end-to-end AI applications independently, including LLM integration, RAG, agentic orchestration, REST API development, and lightweight front-end interfaces.
- Show a track record of moving from a business conversation to a working AI prototype in days.
- Explain technical work, costs, and next steps clearly to healthcare executives and other business stakeholders.
- Be comfortable participating in executive briefings, steering committees, and business rhythm meetings.
- Be able to structure ambiguous business problems into scoped AI opportunities with clear inputs, outputs, and success criteria.
- Build credible business cases estimating time saved, costs reduced, or revenue protected.
- Preferred: hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, or equivalent agent orchestration frameworks.
- Preferred: familiarity with HL7, FHIR, ICD-10, CPT, claims data structures, HIPAA, CMS regulations, or FDA digital health guidance.
Responsibilities
- Engage business stakeholders to identify high-value problems and define buildable AI opportunities.
- Map existing processes and prepare scoping documents, ROI estimates, and success criteria.
- Design and build full-stack AI prototypes using Claude and the modern AI development stack.
- Develop applications using LLM orchestration, retrieval-augmented generation, agentic workflows, REST API integrations, and lightweight front ends.
- Iterate on prototypes using user feedback and work toward production-grade quality.
- Partner with the AI Governance team to validate and harden solutions, applying responsible AI practices.
- Document solutions for handoff, scaling, and maintenance, and contribute to the reusable AI accelerator library.
- Demonstrate working software to client stakeholders and participate in business rhythm meetings.
- Develop expertise in client workflows, data, competitive pressures, and regulatory environments.
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