Brillio

Technology consulting for AI-driven digital transformation

AI Builder

AI Application Engineering +1Confirmed live in the last 24 hours

Full-timeRemote in USA$130k - $170k /yrRemote

About the Job

Requirements

At least 8 years of direct, hands-on healthcare industry experience in health insurance operations such as underwriting, claims adjudication, utilization management, or product launch, or in health system clinical and operational workflows.
Proficiency using Claude as a development tool, including demonstrated use of the Claude API for prompt engineering, tool use, and agentic patterns to build real applications; use as a chat interface alone does not qualify.
Ability to independently build and ship end-to-end AI applications using LLM integration, retrieval-augmented generation, agentic orchestration, REST API development, and lightweight front-end interfaces.
A demonstrated track record of moving from a business conversation to a working AI prototype in days, with examples of what was built, how quickly, and what problem it solved.
Ability to explain technical work to healthcare executives, including its significance, cost, and next steps, clearly and without jargon.
Ability to participate independently in steering committees, executive briefings, and business rhythm meetings, handle pushback, and demonstrate progress in business-relevant terms.
Ability to structure ambiguous business problems into scoped AI opportunities with clear inputs, outputs, and success criteria.
Quantitative fluency to estimate time saved, cost reduced, or revenue protected and translate AI outputs into financial terms for finance and operations leaders.

Responsibilities

Engage directly with business stakeholders, vice presidents, clinical leads, and operations owners to identify high-value problems and translate them into buildable AI opportunities.
Ask questions, challenge assumptions, and define minimum viable AI solutions before development begins.
Map existing processes end-to-end, identify where AI can eliminate friction, reduce cost, or accelerate decisions, and communicate findings in business terms.
Build lightweight scoping documents and return-on-investment estimates that align stakeholders and establish 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, agentic workflows, REST API integrations, and lightweight front-end interfaces.
Own technical architecture end-to-end, from prompt design through data pipeline and user interface, and explain design decisions to engineering and business audiences.
Iterate based on real user feedback in the field, ship early, learn quickly, and progress toward production-grade quality.
Use Claude to accelerate code generation, testing, documentation, and solution design.
Partner with the AI Governance team to validate, harden, and evolve prototypes into production-grade, enterprise-ready systems.
Apply responsible AI practices, including bias review, explainability, HIPAA compliance, audit logging, and model monitoring, in each build.
Document solutions so broader engineering teams can take them over, scale, and maintain them without rework.
Contribute client-specific solutions and reusable patterns to the company's AI accelerator library.
Participate in client business rhythm meetings, sprint reviews, program steering committees, and executive status updates.
Demonstrate progress through live demonstrations and working software.
Communicate technical concepts to non-technical business leaders and build the trust needed to move from pilot to scale.
Surface blockers, dependencies, and risks early with clear, solutions-oriented framing.
Develop expertise in the client's business, workflows, data, competitive pressures, and regulatory environment.
Develop a deep understanding of healthcare operations to generate problem hypotheses, not just respond to inbound requests.
Build relationships with business counterparts beyond project delivery and advise them on what AI can and cannot do in their environment.
Share learnings from client engagements with the broader applied AI community.

Desired Qualifications

Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, or AutoGen, or equivalent orchestration frameworks, to build multi-step, tool-calling AI agents for real workflows.
Working familiarity with healthcare data standards and context, including HL7, FHIR, ICD-10, CPT, claims data structures, HIPAA requirements, CMS regulations, and FDA digital health guidance as they apply to AI system design and deployment.
Prior forward-deployed, embedded, or startup engineering experience, including work inside a client organization, in consulting or embedded delivery, or building products in a startup while owning the full stack with limited support.
Experience shipping AI in a health insurance technology company or health system, including navigating compliance, audit trails, explainability, and data governance in deployments.
Experience contributing to reusable AI platforms or accelerators by creating components, patterns, or frameworks other teams can adopt.
Familiarity with enterprise AI governance and responsible AI practices, including model risk management, bias evaluation, audit logging, enterprise governance frameworks, and working with governance or compliance teams to obtain production approval.

Salary Range: 130000 to 170000 (Currency: USD) (Pay period: per-year-salary)

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Brillio is an AI-first technology company, backed by private equity, 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.

To make that happen, 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, 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 bring 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 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.

Strong Preference
• Experience with agentic AI frameworks: Hands-on use of LangChain, LangGraph, CrewAI, AutoGen, or equivalent orchestration frameworks to build multi-step, tool-calling AI agents that operate in real workflows.
• Healthcare data standards and regulatory context : Working familiarity with HL7, FHIR, ICD-10, CPT, and claims data structures. Understanding HIPAA requirements, CMS regulations, and FDA digital health guidance as they apply to AI system design and deployment.
• Prior forward-deployed, embedded, or startup engineering experience: You have worked directly inside a client organization, operated in a consulting or embedded delivery model, or built products in a startup environment where you owned the full stack with limited support.
• Experience shipping AI in health insurance technology company or health system: You have navigated the additional complexity of deploying AI where compliance, audit trails, explainability, and data governance are not optional and you know how to move fast without cutting corners that matter.
• Experience contributing to reusable AI platforms or accelerators: You have built solutions with an eye toward reuse creating components, patterns, or frameworks that others on a team can adopt rather than rebuilding from scratch on every engagement.
• Knowledge of AI governance and responsible AI practices in enterprise settings: Familiarity with model risk management, bias evaluation, audit logging, and enterprise AI governance frameworks and experience working alongside governance or compliance teams to get AI systems approved for production use.

Who you are?
• A builder first : you are most energized when something tangible exists that didn't exist before
• Equally fluent in the language of healthcare operations and the language of AI engineering and able to switch between them in the same meeting
• Someone who earns trust through working software, not promises you show progress, you don't just report it
• Deeply curious about what AI can do in healthcare and intellectually honest about where it falls short
• Comfortable with ambiguity, urgency, and high stakes you thrive when the path is unclear and the expectation is still high

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

About the Company

Brillio

Technology consulting for AI-driven digital transformation

Brillio helps organizations move their systems and processes into the digital world by providing technology consulting and customized AI and cloud-based solutions. The company works with large clients, including many Fortune 500 firms, and has a strong emphasis on the healthcare sector. Its offerings include designing and building tailored software and workflows that improve efficiency, security, and scalability, and enabling real-time, AI-powered interactions through generative AI tools. Customers typically engage Brillio through long-term support contracts or project-based work, paying for both advisory services and the implementation of technology solutions. Brillio’s goal is to help clients become ‘generative enterprises’—organizations that leverage AI and cloud technologies to continuously transform operations and user experiences, stay competitive, and drive measurable business outcomes.

Company size: 5,001-10,000
Company stage: Late Stage VC
Total funding: Not listed
Headquarters: Dallas, TX
Founded: 2014

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