Overview

Experience - 6-14 years

Shift Timing: 2 – 11 PM IST

Hybrid - In office 2-3 days per week as needed (Ascendion office - Bengaluru, Hyderabad, Chennai, Pune)

We need people who can join within 0-30 days and have LWD confirmation.

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

Ideal Candidate Mindset

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.