AI Builders

About the Role

Brillio is seeking a seasoned AI professional to join our team, focusing on driving AI-led transformation in the healthcare industry. This role involves problem discovery, solution design, rapid prototyping, and scaling AI solutions while ensuring AI governance and stakeholder engagement.

Responsibilities

• Engage with business stakeholders to identify high-value problems and translate them into AI opportunities.
• Map existing processes, identify AI integration points, and communicate findings in business terms.
• Develop lightweight scoping documents and ROI estimates to align stakeholders.
• Design and build AI prototypes using Claude and modern AI development stack.
• Develop full-stack AI applications, including LLM orchestration, RAG, agentic workflows, and front-end interfaces.
• Iterate based on user feedback and drive toward production-grade quality.
• Partner with AI Governance team to validate and harden prototypes into enterprise-ready systems.
• Apply responsible AI principles, including bias review, explainability, and HIPAA compliance.
• Document solutions for scalability and maintenance by broader engineering teams.
• Participate in client business rhythm meetings, demonstrating progress through live demos.
• Develop expertise in client's business, workflows, data, and regulatory environment.
• Build relationships with business counterparts, becoming a trusted advisor on AI capabilities.
• Contribute to internal knowledge sharing and Brillio's reusable AI accelerator library.

Requirements

• 8+ years of direct, hands-on healthcare industry experience in health insurance operations or health system clinical/operational workflows.
• Proficiency with Claude (Anthropic) as a development tool, including prompt engineering and agentic patterns.
• Full-stack AI engineering capability, including LLM integration, RAG, REST API development, and front-end interfaces.
• Demonstrated ability to prototype rapidly and ship working AI solutions independently.
• Strong business articulation and stakeholder communication skills, particularly with healthcare executives.
• Maturity to engage at the executive level, participating in steering committees and business rhythm meetings.
• Ability to structure ambiguous problems into scoped AI opportunities with clear success criteria.
• Quantitative fluency for ROI and impact measurement, translating AI outputs into financial terms.

Qualifications

• Experience with agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen).
• Familiarity with healthcare data standards (HL7, FHIR, ICD-10, CPT) and regulatory context (HIPAA, CMS, FDA).
• Prior forward-deployed, embedded, or startup engineering experience.
• Experience shipping AI in health insurance technology or health systems with compliance and governance considerations.
• Experience contributing to reusable AI platforms or accelerators.
• Knowledge of AI governance and responsible AI practices in enterprise settings.

Skills

• Builder mindset, energized by creating tangible solutions.
• Fluency in healthcare operations and AI engineering languages.
• Ability to earn trust through working software and demonstrable progress.
• Curiosity about AI's potential in healthcare and intellectual honesty about limitations.
• Comfort with ambiguity, urgency, and high-stakes environments.