[Hiring] AI Builders @Brillio

Role Description

As a key member of Brillio, you will engage in problem discovery, solution design, rapid prototyping, and full-stack AI development. Your role will involve collaborating with business stakeholders to identify AI opportunities and developing production-grade solutions.

What You'll Do?

• Problem Discovery & Solution Design
  • Engage directly with business stakeholders, VPs, clinical leads, and operations owners to surface ambiguous, high-value problems and translate them into buildable AI opportunities.
  • Ask sharp questions, challenge assumptions, and define what a minimum viable AI solution looks like before writing a line of code.
  • Map existing processes end-to-end, identify where AI can eliminate friction, reduce cost, or accelerate decisions, and communicate your findings in business terms.
  • Build lightweight scoping documents and ROI estimates that align stakeholders and set clear success criteria before development begins.
• Rapid Prototyping & Full-Stack AI Development
  • Design and build working AI prototypes within days using Claude and the modern AI development stack.
  • Develop full-stack AI applications spanning LLM orchestration, retrieval-augmented generation (RAG), agentic workflows, REST API integrations, and lightweight front-end interfaces.
  • Own your technical architecture end-to-end from prompt design to data pipeline to user interface and be able to explain every design decision to both engineering and business audiences.
  • Iterate based on real user feedback in the field; ship early, learn fast, and drive toward production-grade quality with intention and speed.
  • Use Claude as a core development accelerator for code generation, testing, documentation, and solution design, not just as a product capability.
• Scaling Solutions with AI Governance
  • Partner with Brillio's AI Governance team to validate, harden, and evolve prototypes into production-grade, enterprise-ready systems.
  • Apply responsible AI principles such as bias review, explainability, HIPAA compliance, audit logging, and model monitoring as a standard part of every build.
  • Document solutions clearly and completely so they can be handed off, scaled, and maintained by broader engineering teams without rework.
  • Contribute to Brillio's reusable AI accelerator library, turning client-specific solutions into patterns that can be deployed across engagements.
• Business Rhythm & Stakeholder Engagement
  • Participate in all client business rhythm meetings, including sprint reviews, program steering committees, and executive status updates.
  • Demonstrate progress through live demos and working software, not slide decks alone.
  • Communicate technical concepts clearly to non-technical business leaders and build the trust required to move from pilot to scale.
  • Surface blockers, dependencies, and risks early with clear, solutions-oriented framing.
• Client Immersion & Domain Depth
  • Develop genuine expertise in your client's business, workflows, data, competitive pressures, and regulatory environment.
  • Understand healthcare operations deeply enough to generate your own problem hypotheses, not just respond to inbound requests.
  • Build relationships with business counterparts that go beyond project delivery, becoming a trusted advisor on what AI can and cannot do in their environment.
  • Contribute to internal knowledge sharing by bringing learnings from client engagements back to Brillio's broader applied AI community.

Qualifications

• 8+ years of healthcare industry experience, with direct, hands-on experience in health insurance operations or health system clinical and operational workflows.
• Proficiency with Claude (Anthropic) as a development tool, including prompt engineering and building real applications.
• Full-stack AI engineering capability, able to build and ship end-to-end AI applications independently.
• Demonstrated ability to prototype at speed, moving from business conversation to working AI prototype in days.
• Business articulation and stakeholder communication skills, able to explain technical concepts clearly to healthcare executives.
• Maturity to engage at the executive level, comfortable participating in steering committees and business rhythm meetings.
• Ability to structure ambiguous problems into scoped AI opportunities with clear inputs, outputs, and success criteria.
• Quantitative fluency for ROI and impact measurement, able to build credible business cases estimating time saved or cost reduced.

Strong Preference

• Experience with agentic AI frameworks such as LangChain or equivalent orchestration frameworks.
• Familiarity with healthcare data standards and regulatory context, including HL7, FHIR, and HIPAA requirements.
• Prior forward-deployed, embedded, or startup engineering experience.
• Experience shipping AI in health insurance technology or health systems.
• Experience contributing to reusable AI platforms or accelerators.
• Knowledge of AI governance and responsible AI practices in enterprise settings.

Who you are?

• A builder first, energized by creating tangible solutions.
• Fluent in both healthcare operations and AI engineering languages.
• Trustworthy, demonstrating progress through working software.
• Deeply curious about AI's potential in healthcare.
• Comfortable with ambiguity, urgency, and high stakes.