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