Senior / Lead AI/ML Engineers

Project Description: Join Our Team: Innovating Health Care with Cutting-Edge Technology

Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration, and opportunity — and this is what you get. We are at the forefront of technology in an industry that is transforming the lives of millions. Here, innovation isn't just about creating another gadget; it's about making health care data accessible whenever and wherever people need it — safely and reliably.

If you're passionate about driving change and looking for a place to make an impact, this is the place to be. It's an opportunity to do your life's best work.

Responsibilities: We are looking for a highly experienced Lead AI/ML Engineer with 12+ years of software engineering experience to support an enterprise healthcare technology environment. The role will focus on AI-enabled software development (AIDLC), Agentic AI, full-stack engineering, cloud technologies, and DevOps, working within an Agile delivery POD.

Responsibilities

Design, build, and integrate Agentic AI agents into the software development lifecycle.

Lead and contribute to AI-enabled development within an Agile engineering POD.

Design and develop full-stack applications using React, Java/J2EE, Spring, REST APIs, and microservices.

Develop and support cloud-native solutions across Azure, OpenShift, and AKS.

Implement and maintain CI/CD and DevOps practices using GitHub Actions, Artifactory, and Docker.

Troubleshoot complex application and production issues using Splunk, Azure KQL, Grafana, and Dynatrace.

Actively leverage enterprise-approved AI tools to improve coding, documentation, analysis, and engineering productivity.

Provide technical leadership and promote AI engineering best practices across the team.

Mandatory Skills

Agentic AI

AIDLC

Java/J2EE

Spring

REST APIs

Microservices

React

JavaScript

HTML/CSS

Next.js

SQL

GraphQL

PostgreSQL

Azure

OpenShift

AKS

GitHub

GitHub Actions

Docker

Artifactory

Splunk

Azure KQL

Grafana

Dynatrace

Agile/Scrum

Mandatory Skills Description:

12+ years of software engineering/programming experience with strong hands-on expertise in Agentic AI and AI-enabled SDLC/AIDLC practices. Proven experience building AI agents and working within engineering PODs that leverage AI throughout the development lifecycle. Strong full-stack development experience with React 16+, Java/J2EE, Spring Core/Boot/Batch, REST APIs, microservices, Next.js, SQL/GraphQL, and PostgreSQL. Hands-on cloud and DevOps experience with Azure, OpenShift, AKS, GitHub Actions, Artifactory, and Docker. Strong production troubleshooting and debugging capabilities using Splunk, Azure KQL, Grafana, and Dynatrace.

Candidates are expected to actively use enterprise-approved AI tools such as GitHub Copilot, Microsoft 365 Copilot, and approved GenAI platforms, maintaining 90%+ weekly AI-tool usage and applying AI to coding, documentation, analysis, and decision-making workflows.

Nice-to-Have Skills Description

Prior healthcare industry experience is preferred, particularly experience with Utilization Management, Prior Authorization, Care Management, or Optum Clinical Manager. Experience leading or mentoring engineers within Agile PODs and driving enterprise AI adoption is an advantage.