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# Sr AI/ML Engineer - Remote Nationwide or Office-Based in MN/DC/NJ

- **Company:** Unitedhealth Group Inc
- **Location:** Trenton, NJ, United States (Remote available)
- **Experience:** Expert
- **Salary:** $120,100 - $214,500
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Code Coverage, Code Generation, Software Quality, Code Review, System Configuration, Continuous Integration, Software Debugging, Programming Tools, Github, Design of User Interfaces, Monitoring of Systems, Human-Computer Interaction, Internet Security, Junit, Machine Learning, Microsoft Office, MySQL, Security Software, Software Engineering, SonarQube, Systems Integration, TypeScript, Web Applications, Web Application Frameworks, Zabbix, Google Cloud, GitHub Copilot, ReactJS, Delivery Pipeline, Large Language Models, Grafana, Generative AI, Backend, Build Management, Containerization, Kubernetes, Information Technology, Deployment Automation, Apache Kafka, Graphql, Front End Software Development, Splunk, Code Restructuring, Dynatrace, Artifactory, Microservices
- **Published:** November 11, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-ai-ml-engineer-remote-nationwide-or-office-based-in-mn-dc-nj-trenton-nj--491bd75a-b471-487e-bdc2-5e2229f2a476

## About the Role

Artificial Intelligence (AI), Healthcare, Internet Security, Data Analysis, Artificial Intelligence (AI), Leading Edge Technology, International Health, Work From Home, JavaScript Frameworks, User Interface/Experience (UI/UX), * Bachelor's degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience

 * 4+ years of full-stack engineering experience with solid backend and frontend development expertise
 * 3+ years of expertise in building AI/ML solutions leveraging LLMs, Generative AI and models
 * 3+ years of hands-on experience with building, deploying, and maintaining cloud applications (Eg, AWS, GCP, Azure)
 * 3+ years of experience implementing event-driven streaming solutions with Apache Kafka, including schema design and partitioning strategies
 * 3+ years of experience designing high-performance MySQL database schemas optimized for high-volume transactional workloads
 * 3+ years of experience configuring, deploying, scaling, and troubleshooting microservices on Kubernetes-based container platforms
 * 3+ years of experience with CI/CD tools, automated testing frameworks, and modern build pipelines, * 3+ years of experience developing responsive frontend applications using JavaScript/TypeScript, React.js, and TanStack Query
 * 3+ years of experience using enterprise monitoring and observability platforms (Splunk, Dynatrace, Zabbix, Grafana) to track application health and resolve issues
 * Experience building and deploying AI/ML solutions or integrating machine learning models into enterprise web applications
 * Demonstrated familiarity with organizational release governance, PLM compliance, and automated security scanning workflows
 * Hands-on experience leveraging AI-powered development tools (e.g., GitHub Copilot) to improve test coverage, code quality, and productivity
 * All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.

## Description

* Develop responsive and intuitive frontend applications using modern JavaScript frameworks (React.js preferred) and TanStack Query
 * Design and build REST and GraphQL APIs in Java, integrating with high-performance MySQL database schemas optimized for high-volume transactional workloads
 * Design and implement Kafka producers and consumers, including schema design, partitioning strategies, and reliable message processing
 * Deploy, configure, scale, and troubleshoot services on Kubernetes-based platforms
 * Setup and manage deployment pipelines using GitHub Actions, including reusable workflows, environment secrets, automated deployment rules, and JFrog Artifactory integration
 * Use enterprise-approved AI-powered development tools (e.g., GitHub Copilot) for code generation, refactoring, debugging, workflow automation, and documentation
 * Monitor logs, track performance trends, and proactively troubleshoot production issues using observability tools including Splunk, Dynatrace, Zabbix, and Grafana
 * Write JUnit tests with high code coverage, utilizing static and dynamic analysis tools (e.g., CodeQL, SonarQube) to identify and remediate security and quality issues
 * Participate in Product Lifecycle Management (PLM) activities, code reviews, architectural discussions, and agile ceremonies while maintaining detailed documentation for application features and security controls
 * Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.