Forward Deployed Engineer

🕒 Junho 18

🏖️ New Jersey – Remoto

🏖️ New Jersey – Remote

💵 $200.000 - $300.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

👷🏻‍♀️ Engenheiro

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Brillio

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🏥 Saúde

🛡️ Seguros

📦 Logística

💰 Private Equity Round em 2019-01

Healthcare • Insurance • Logistics

Brillio é uma empresa de consultoria em tecnologia que se especializa em conduzir a transformação digital para negócios em diversas indústrias, como bancária, serviços financeiros, seguros, ciências biológicas, telecomunicações e mídia, saúde e varejo. Eles focam na transformação da experiência do cliente, dados e IA, engenharia de produtos e plataformas, e fornecem soluções de infraestrutura, nuvem e segurança. Com ênfase na engenharia de produtos digitais e aproveitando a IA generativa, a Brillio visa fornecer soluções sob medida que ajudam as empresas a prosperarem na era da IA e da disrupção tecnológica. Eles também oferecem serviços para ajudar as empresas a se adaptarem aos novos desafios tecnológicos e transformar as disrupções em vantagens competitivas.

Descrição

• Engage directly with business stakeholders, VPs, clinical leads, 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 • 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 • 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 and build the trust required to move from pilot to scale • Surface blockers, dependencies, and risks early with clear, solutions-oriented framing • Develop genuine expertise in your client's business, their workflows, their data, their competitive pressures, and their 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 bring learnings from client engagements back to Brillio's broader applied AI community

🎯 Requisitos

• 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. You must understand how these environments actually work. • 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. You must have built with it. • Full-stack AI engineering capability: Ability to build and ship end-to-end AI applications independently. LLM integration, retrieval-augmented generation (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. You can show examples of what you built, how fast, and what problem it solved. • Business articulation and stakeholder communication: Ability to walk into a meeting with healthcare executives and explain what you built, why it matters, what it costs, and what comes next clearly, confidently, and without jargon. This is a non-negotiable for a client-embedded role. • Maturity to engage at the executive level: Comfortable participating in steering committees, executive briefings, and business rhythm meetings without needing hand-holding. You can hold the room, handle pushback, and demonstrate progress in terms business leaders care about. • Ability to structure ambiguous problems: When a business leader says 'we need to reduce risk in our underwriting process,' you know how to break that into a scoped AI opportunity with clear inputs, outputs, and success criteria before opening a laptop. • Quantitative fluency for ROI and impact measurement: Ability to build simple but credible business cases estimating time saved, cost reduced, or revenue protected and translate AI outputs into financial terms that resonate with finance and operations leaders.