AI Builders

Stack

Responsibilities

• ▹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 findings in business terms
• ▹Build lightweight scoping documents and ROI estimates that align stakeholders and set clear success criteria before development begins
• ▹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 the technical architecture end-to-end from prompt design to data pipeline to user interface, and 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
• ▹Partner with Brillio's AI Governance team to validate, harden and evolve prototypes into production-grade, enterprise-ready systems
• ▹Apply responsible AI principles (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
• ▹Participate in all client business rhythm meetings: 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
• ▹Surface blockers, dependencies and risks early with clear, solutions-oriented framing
• ▹Develop genuine expertise in the client's business, workflows, data, competitive pressures and regulatory environment; understand healthcare operations deeply enough to generate your own problem hypotheses
• ▹Build relationships with business counterparts beyond project delivery, becoming a trusted advisor on what AI can and cannot do in their environment, and share learnings with Brillio's applied AI community

Requirements

• ▹8+ years of healthcare industry experience: direct, hands-on experience in health insurance operations (underwriting, claims adjudication, utilization management, product launch) or health system clinical and operational workflows, not adjacent or observational
• ▹Proficiency with Claude (Anthropic) as a development tool: demonstrated use of the Claude API including prompt engineering, tool use and agentic patterns to build real applications; using Claude as a chat interface does not qualify
• ▹Full-stack AI engineering capability: ability to build and ship end-to-end AI applications independently, with LLM integration, RAG, agentic orchestration, REST API development and lightweight front-end interfaces sufficient to put a working demo in front of a client
• ▹Demonstrated ability to prototype at speed: proven track record of moving from a business conversation to a working AI prototype in days, not sprints or quarters, with examples of what you built, how fast and what problem it solved
• ▹Business articulation and stakeholder communication: ability to explain to healthcare executives what you built, why it matters, what it costs and what comes next, clearly, confidently and without jargon; non-negotiable for a client-embedded role
• ▹Maturity to engage at the executive level: comfortable in steering committees, executive briefings and business rhythm meetings; able to handle pushback and demonstrate progress in terms business leaders care about
• ▹Ability to structure ambiguous problems: turn a request such as reducing risk in the underwriting process into a scoped AI opportunity with clear inputs, outputs and success criteria
• ▹Quantitative fluency for ROI and impact measurement: build simple but credible business cases estimating time saved, cost reduced or revenue protected, and translate AI outputs into financial terms for finance and operations leaders

Nice to have

• ▹Experience with agentic AI frameworks: hands-on use of LangChain, LangGraph, CrewAI, AutoGen or equivalent orchestration frameworks to build multi-step, tool-calling AI agents in real workflows
• ▹Healthcare data standards and regulatory context: working familiarity with HL7, FHIR, ICD-10, CPT and claims data structures; understanding of HIPAA, CMS regulations and FDA digital health guidance as they apply to AI system design and deployment
• ▹Prior forward-deployed, embedded or startup engineering experience: work inside a client organization, a consulting or embedded delivery model, or owning the full stack in a startup with limited support
• ▹Experience shipping AI in a health insurance technology company or health system, where compliance, audit trails, explainability and data governance are not optional
• ▹Experience contributing to reusable AI platforms or accelerators: building components, patterns or frameworks others on a team can adopt
• ▹Knowledge of AI governance and responsible AI practices in enterprise settings: model risk management, bias evaluation, audit logging, enterprise AI governance frameworks, and working with governance or compliance teams to get AI systems approved for production

Soft skills

About the company

Brillio is a fast-growing digital technology service provider and an AI-first company backed by Bain Capital and Orogen Group. It helps enterprises with AI-led transformation, focusing on financial services, healthcare, consumer, telecom and technology.