AI Solutions Engineer

Job not on LinkedIn

🔥 8 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $150k - $250k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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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 high-value problems and translate them into AI opportunities • Define minimum viable AI solutions, map processes, identify opportunities to reduce friction and cost, and accelerate decisions • Create scoping documents, ROI estimates, and success criteria • 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, and lightweight front-end interfaces • Own technical architecture from prompt design through data pipeline and user interface • Iterate using real user feedback and drive prototypes toward production-grade quality • Use Claude for code generation, testing, documentation, and solution design • Partner with the AI Governance team to validate and harden prototypes for enterprise deployment • 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 sprint reviews, program steering committees, executive updates, live demos, and client business rhythm meetings • Communicate technical concepts to non-technical leaders and surface blockers, dependencies, and risks • Develop deep expertise in client workflows, data, competitive pressures, and regulatory environments • Build trusted-advisor relationships with healthcare business counterparts • Share client engagement learnings with Brillio's applied AI community

🎯 Requirements

• 8+ years of healthcare industry experience, specifically direct hands-on experience in health insurance operations or health system clinical and operational workflows • Demonstrated use of the Claude API as a development tool, including prompt engineering, tool use, and agentic patterns • Full-stack AI engineering capability, including LLM integration, 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 technical solutions, costs, and next steps clearly to healthcare executives without jargon • Comfort 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 • Ability to build credible ROI and impact measurement business cases • Strong preference: hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, or equivalent frameworks • Strong preference: familiarity with HL7, FHIR, ICD-10, CPT, claims data structures, HIPAA, CMS regulations, and FDA digital health guidance • Strong preference: forward-deployed, embedded, consulting, or startup engineering experience • Strong preference: experience shipping AI in a health insurance technology company or health system • Strong preference: experience contributing to reusable AI platforms or accelerators • Strong preference: knowledge of AI governance, responsible AI, model risk management, bias evaluation, audit logging, and enterprise AI governance frameworks