Healthcare AI Solution Engineer / Mid-FDE

these 3 positions, we can offer anywhere between $150-$200k/annum as salary to these candidates

Job Description Healthcare AI Solution Engineer / Mid-FDE

Remote

Role 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 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

The ideal candidate demonstrates a mindset of:

Taking ownership of outcomes rather than individual tasks, creating disproportionate impact through technical depth, innovation, and execution. Has 10X engineering mindset by combining deep technical expertise, business understanding, and ownership. They can independently solve complex problems, move seamlessly between stakeholder discussions, architecture decisions, and hands-on engineering, and understand the business "why" before designing solutions.

This individual accelerates delivery through AI, automation, reusable frameworks, and engineering excellence while taking end-to-end ownership from concept to production. They operate with a Forward Deployed Engineer (FDE) mindset-working closely with healthcare business teams, rapidly learn & adapt to new technologies, domains, healthcare processes and delivering scalable solutions that create measurable business impact.