Healthcare AI Solution Engineer / Mid-FDE | REMOTE ROLE | (W2 Only)

Xlysi • Chicago, IL

1d • Remote

About The Position

We are seeking a highly motivated and hands-on Healthcare AI Solution Engineer / Mid-FDE with the mindset of a Forward Deployed Engineer (FDE). This role is designed for a rare engineering leader who can bridge business and technology—understanding complex healthcare operations, engaging directly with stakeholders, architecting scalable solutions, writing production-quality software, leveraging AI capabilities, and delivering measurable business outcomes. The ideal candidate combines deep healthcare payer domain expertise with strong full-stack engineering, cloud, DevOps, AI, and architecture skills. This individual takes complete ownership from problem discovery through solution design, development, deployment, and continuous improvement.

Requirements

• Strong expertise in one or more healthcare payer/provider domains, including: Member Enrollment & Eligibility, Claims Processing & Adjudication, Provider Management, Healthcare EDI (HIPAA X12 Transactions), Benefits Administration, Prior Authorization, Care Management (CM), Utilization Management (UM), Disease Management (DM), Clinical Operations, Grievance & Appeals (G&A), Payment Integrity.
• Full Stack Engineering: Full-stack application development, .NET / C#, Python, REST APIs & Microservices, Modern frontend frameworks, SQL / NoSQL databases, Event-driven architecture.
• Cloud & DevOps: Azure Cloud Architecture, Cloud-native application development, Azure DevOps / GitHub Actions, CI/CD automation, Containers & Kubernetes, Infrastructure as Code, Security, performance, and scalability engineering.
• AI & Intelligent Engineering: AI/LLM solution design and implementation, Generative AI applications, Agentic AI workflows, Retrieval Augmented Generation (RAG), Intelligent automation, AI-enabled software engineering practices.

Nice To Haves

• Experience with healthcare interoperability standards such as HL7/FHIR, APIs, and healthcare data exchange patterns is preferred.

Responsibilities

• Partner directly with healthcare business stakeholders to understand workflows, challenges, and strategic objectives across payer operations.
• Translate business needs into scalable, secure, cloud-native technology solutions.
• Design enterprise solution architecture and build end-to-end applications across frontend, backend, APIs, integrations, data platforms, and AI capabilities.
• Develop production-grade software using .NET, Python, modern frameworks, microservices, APIs, and engineering best practices.
• Drive cloud engineering, DevOps, CI/CD, Infrastructure as Code, automation, monitoring, and operational excellence.
• Leverage AI/LLMs, intelligent agents, and automation to improve healthcare operations, engineering productivity, and business outcomes.
• Identify modernization opportunities and proactively recommend innovative solutions.
• Own the complete solution lifecycle—from discovery, architecture, design, development, testing, deployment, and production support.
• Mentor engineering teams and establish engineering excellence through architecture standards, coding practices, and innovation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed