AI Builders

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $200k - $300k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 Artificial Intelligence

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Brillio

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

🛡️ Insurance

📦 Logistics

💰 Private Equity Round on 2019-01

Healthcare • Insurance • Logistics

Brillio is a technology consulting company that specializes in driving digital transformation for businesses across various industries such as banking, financial services, insurance, life sciences, telecom and media, healthcare, and retail. They focus on customer experience transformation, data and AI, product and platform engineering, and provide infrastructure, cloud, and security solutions. With an emphasis on engineering digital products and leveraging generative AI, Brillio aims to provide bespoke solutions that help businesses thrive in the age of AI and technological disruption. They also offer services to help businesses adapt to new technological challenges and turn disruptions into competitive advantages.

📋 Description

• Engage with business stakeholders, VPs, clinical leads, and operations owners to identify ambiguous, high-value problems and translate them into AI opportunities • Define minimum viable AI solutions, map processes, identify AI-driven efficiencies, and prepare scoping documents and ROI estimates • Design and build AI prototypes within days using Claude and modern AI development tools • Develop full-stack AI applications involving LLM orchestration, RAG, agentic workflows, REST API integrations, data pipelines, and lightweight front ends • Own technical architecture from prompt design through user interface and explain design decisions to technical and business audiences • Iterate from real user feedback toward production-grade solutions • Partner with the AI Governance team to validate and harden prototypes for enterprise production • Apply responsible AI practices including bias review, explainability, HIPAA compliance, audit logging, and model monitoring • Document solutions for handoff, scaling, and maintenance; contribute reusable patterns to Brillio's AI accelerator library • Participate in client business rhythm meetings, sprint reviews, steering committees, and executive updates • Demonstrate progress through live demos and working software; communicate technical concepts to business leaders • Surface blockers, dependencies, and risks; develop healthcare domain expertise and trusted client relationships • Share client engagement learnings with Brillio's applied AI community

🎯 Requirements

• 8+ years of direct, hands-on healthcare industry experience in health insurance operations or health system clinical and operational workflows • Demonstrated use of the Claude API for prompt engineering, tool use, and agentic application development • Ability to independently build and ship end-to-end full-stack AI applications • Experience with LLM integration, retrieval-augmented generation (RAG), agentic orchestration, REST API development, and lightweight front-end interfaces • Proven ability to move from a business conversation to a working AI prototype within days • Ability to explain solutions, costs, value, and next steps clearly to healthcare executives without jargon • Experience participating in steering committees, executive briefings, and business rhythm meetings • Ability to structure ambiguous business problems into scoped AI opportunities with clear inputs, outputs, and success criteria • Quantitative fluency in ROI and impact measurement, including estimating time saved, cost reduced, or revenue protected • Strong preference for hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, or equivalent agentic AI frameworks • Working familiarity with HL7, FHIR, ICD-10, CPT, claims data structures, HIPAA, CMS regulations, and FDA digital health guidance • Preferred experience in forward-deployed, embedded, startup, health insurance technology, health system, reusable AI platform, AI accelerator, or enterprise AI governance work • Familiarity with model risk management, bias evaluation, audit logging, and enterprise AI governance frameworks