Artificial Intelligence Solutions Engineer

Ascendion; Bengaluru; Hybrid; INR 11,494,252 - 17,241,379; Full time

Job summary

Ascendion in Bengaluru is seeking an AI Solutions Engineer (US Healthcare) to bridge business and technology. You will own end-to-end solution design, develop production-grade software across frontend, backend, APIs, data platforms, and AI capabilities, and mentor teams to engineering excellence.

The role requires deep healthcare payer domain expertise and strong full-stack, cloud, DevOps, and AI skills, with ownership from discovery through deployment and continuous improvement in a hybrid work

Qualifications

• Strong hands-on software engineering with healthcare domain exposure.
• Experience building cloud-native, scalable solutions for complex workflows.
• Proficiency in Python/.NET, APIs, microservices, and data platforms.

Responsibilities

• Collaborate with healthcare stakeholders to map payer workflows.
• Translate needs into scalable, cloud-native solutions.
• Design enterprise architecture and end-to-end apps across frontend, backend, APIs, data, and AI.
• Develop production-grade software using .NET, Python, modern frameworks, microservices, APIs.
• Drive CI/CD, Infrastructure as Code, monitoring, and reliability.
• Leverage AI/LLMs, intelligent agents, and automation to improve operations.
• Own the complete lifecycle from discovery to production support.
• Mentor engineers and promote engineering excellence.

Skills

Python

REST APIs

Frontend frameworks

SQL/NoSQL

Event-driven

Infrastructure as Code

Security & performance

AI/LLM design

Generative AI

RAG

Agentic AI

AI-enabled software

Job description

Job Title: AI Solutions Engineer (US Healthcare)

Job Type : Full-Time

Work Mode: Hybrid

Experience: 4 - 12 Years

Role Summary:

We are seeking a highly motivated and hands-on AI Solutions Engineer (US Healthcare). 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:

• Claims Processing & Adjudication
• Provider Management
• Healthcare EDI (HIPAA X12 Transactions)
• Benefits Administration
• Prior Authorization
• Care Management (CM)
• 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

• Python
• REST APIs & Microservices
• Modern frontend frameworks
• SQL / NoSQL databases
• Event-driven architecture
• Infrastructure as Code
• Security, performance, and scalability engineering
• AI/LLM solution design and implementation
• Generative AI applications
• Agentic AI workflows
• Retrieval Augmented Generation (RAG)
• 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.