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

Xlysi


Job Location:

Chicago, IL - USA

Monthly Salary: Not provided by the employer
Posted: 2 August 2026 (30+ days ago)
Application Deadline: 30 October 2026
Vacancies: 1 Vacancy

Job Summary

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 technologyunderstanding 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.

Key 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 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 lifecyclefrom discovery architecture design development testing deployment and production support.
Mentor engineering teams and establish engineering excellence through architecture standards coding practices and innovation.

Required Healthcare Domain Experience
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

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

Technical Skills
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

Required Experience:

IC


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