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Forward Deployed Engineer

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: Brillio
Full Time position
Listed on 2026-06-23
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 200000 - 300000 USD Yearly USD 200000.00 300000.00 YEAR
Job Description & How to Apply Below

What You'll Do? Problem Discovery & Solution Design

  • 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
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—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, 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, 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, bringing learnings from client engagements back to Brillio’s broader applied AI community
Must-Have
  • 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…
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