Forward Deployed Engineer

About Brillio:

Brillio is a rapidly growing digital technology service provider and a partner of choice for Fortune 1000 companies seeking to gain a competitive advantage through innovative digital adoption. We are recognized for our world-class professionals, known as "Brillians," who excel at integrating cutting-edge digital and design thinking skills with a strong commitment to client satisfaction. Brillio is an employer of choice, attracting top talent by focusing on contemporary, groundbreaking technologies and exclusive digital projects. Our dedication to providing an exceptional experience and nurturing the potential of our Brillians has consistently earned us the Great Place to Work® certification year after year. Brillio is an AI-first technology company, backed by Bain Capital and Orogen Group, partnering with enterprise organizations to drive AI-led transformation at scale. We focus on industries where technology directly impacts growth: financial services, healthcare, consumer, telecom, and technology. We work closely with executive teams and operate alongside our clients to deploy AI into core business systems, moving from strategy to execution.

Our Team:

We bring together three distinct layers of capability:

• AI-Native Engineers: Engineers, Architects, and Product leaders who are native to AI systems, designing, building, and scaling production-grade solutions.
• Leadership: Leaders who have delivered large-scale, global transformation programs, combining business insight with execution discipline.
• Board & Advisors: Providing strategic oversight, governance, and perspective across complex enterprise environments.

What You'll Do:

Problem Discovery & Solution Design

• Engage directly with business stakeholders, VPs, clinical leads, and operations owners to identify ambiguous, high-value problems and translate them into buildable AI opportunities.
• Ask sharp questions, challenge assumptions, and define minimum viable AI solutions before writing code.
• Map existing processes end-to-end, identify areas where AI can eliminate friction, reduce costs, or accelerate decisions, and communicate findings in business terms.
• Build lightweight scoping documents and ROI estimates to 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 encompassing LLM orchestration, retrieval-augmented generation (RAG), agentic workflows, REST API integrations, and lightweight front-end interfaces.
• Own technical architecture end-to-end, from prompt design to data pipeline to user interface, and be able to explain all design decisions to both engineering and business audiences.
• Iterate based on real user feedback, ship early, learn fast, and drive toward production-grade quality with intention and speed.
• Utilize Claude as a core development accelerator for code generation, testing, documentation, and solution design.

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 for handoff, scaling, and maintenance by broader engineering teams without rework.
• Contribute to Brillio's reusable AI accelerator library, turning client-specific solutions into deployable patterns.

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 just slide decks.
• Communicate technical concepts clearly to non-technical business leaders and build trust 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 client's business, workflows, data, competitive pressures, and regulatory environment.
• Understand healthcare operations deeply enough to generate problem hypotheses, not just respond to requests.
• Build relationships with business counterparts beyond project delivery, becoming a trusted advisor on AI capabilities and limitations.
• Contribute to internal knowledge sharing by 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.
• 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.
• Full-stack AI engineering capability: Ability to build and ship end-to-end AI applications independently, including LLM integration, RAG, agentic orchestration, REST API development, and lightweight front-end interfaces.
• Demonstrated ability to prototype at speed: Proven track record of moving from a business conversation to a working AI prototype in days.
• Business articulation and stakeholder communication: Ability to explain technical concepts, value, cost, and next steps clearly and confidently to healthcare executives.
• Maturity to engage at the executive level: Comfortable participating in steering committees, executive briefings, and business rhythm meetings.
• Ability to structure ambiguous problems: Skill in breaking down broad business needs into scoped AI opportunities with clear inputs, outputs, and success criteria.
• Quantitative fluency for ROI and impact measurement: Ability to build credible business cases estimating time saved, cost reduced, or revenue protected, and translate AI outputs into financial terms.

Strong Preference:

• Experience with agentic AI frameworks: Hands-on use of LangChain, LangGraph, CrewAI, AutoGen, or equivalent orchestration frameworks.
• Healthcare data standards and regulatory context: Working familiarity with HL7, FHIR, ICD-10, CPT, and claims data structures, and understanding of HIPAA, CMS regulations, and FDA digital health guidance.
• Prior forward-deployed, embedded, or startup engineering experience: Experience working directly inside a client organization or in a startup environment.
• Experience shipping AI in a health insurance technology company or health system: Navigated the complexities of deploying AI in regulated environments.
• Experience contributing to reusable AI platforms or accelerators: Built solutions with an eye toward reuse.
• Knowledge of AI governance and responsible AI practices in enterprise settings.

Who You Are:

• A builder first: Energized by creating tangible solutions.
• Equally fluent in healthcare operations and AI engineering, switching between them seamlessly.
• Someone who earns trust through working software and demonstrated progress.
• Deeply curious about AI's potential in healthcare, with intellectual honesty about its limitations.
• Comfortable with ambiguity, urgency, and high stakes; thriving when the path is unclear and expectations are high.

Know what it’s like to work and grow at Brillio: Click here

Key skills/competency:

• Forward Deployed Engineer
• AI Engineering
• Healthcare Industry Expertise
• Full-Stack Development
• Rapid Prototyping
• LLM Orchestration
• Retrieval-Augmented Generation (RAG)
• Agentic Workflows
• Business Articulation
• Stakeholder Management