Overview

We are seeking a highly motivated and hands-on Healthcare AI Solution Engineer / Mid-FDE with a Forward Deployed Engineer (FDE) mindset. The role bridges healthcare business operations and technology, enabling stakeholders to solve complex payer/provider challenges through scalable cloud-native platforms, AI-powered solutions, and modern engineering practices. The successful candidate will own the full lifecycle from discovery and architecture through 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, 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 and business outcomes.
• Identify modernization opportunities and recommend innovative solutions.
• Own the complete solution lifecycle including discovery, architecture, development, testing, deployment, and support.
• Mentor teams and promote engineering excellence.

Required Healthcare Domain Experience

• Member Enrollment & Eligibility
• Claims Processing & Adjudication
• Provider Management
• Healthcare EDI (HIPAA X12)
• Benefits Administration
• Prior Authorization
• Care Management (CM)
• Utilization Management (UM)
• Disease Management (DM)
• Clinical Operations
• Grievance & Appeals (G&A;)
• Payment Integrity
• Knowledge of HL7/FHIR, APIs, and healthcare interoperability preferred.

Technical Skills - Full Stack Engineering

• Full-stack development
• .NET / C
• Python
• REST APIs & Microservices
• Modern frontend frameworks
• SQL / NoSQL databases
• Event-driven architecture

Technical Skills - Cloud & DevOps

• Azure Cloud Architecture
• Cloud-native development
• Azure DevOps / GitHub Actions
• CI/CD automation
• Containers & Kubernetes
• Infrastructure as Code
• Security, performance, and scalability engineering

Technical Skills - AI & Intelligent Engineering

• AI/LLM solution design
• Generative AI applications
• Agentic AI workflows
• Retrieval Augmented Generation (RAG)
• Intelligent automation
• AI-enabled software engineering practices

Ideal Candidate Profile

• Ownership mindset with focus on outcomes rather than tasks.
• Strong business understanding combined with deep technical expertise.
• Ability to move seamlessly between stakeholder discussions, architecture decisions, and hands-on engineering.
• Passion for AI, automation, reusable frameworks, and engineering excellence.
• Rapid learner who adapts to new technologies and healthcare processes while delivering measurable business impact.