AI Builder (Forward Deployed Engineer)

The posting, as Brillio wrote it

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 ab

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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