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# Senior Software Engineer

- **Company:** LHC Group, Inc.
- **Location:** Gaithersburg, MD, United States (Remote available)
- **Experience:** Expert
- **Salary:** $91,700.0 - $163,700.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Software Applications, Audit Trail, Microsoft Azure, Cloud Computing, Continuous Integration, Decision Support Systems, Identity and Access Management, Python (Programming Language), Node.Js, Performance Tuning, Scrum Methodology, Systems Development Life Cycle, Systems Integration, Web Application Frameworks, Data Logging, Data Processing, Enterprise Software Applications, GitHub Copilot, DevOps Tools - Open-source, Generative AI, Event Driven Architecture, Front End Software Development
- **Published:** August 23, 2026
- **Apply:** https://www.careerjet.com/job/us040972c96d85ca19c375a94e34a0647f/eaa

## About the Role

* Bachelor's degree in Science or Technology, or equivalent experience
 * 5+ years of full-stack engineering experience using Java, Python, Node.js, and modern front-end frameworks
 * 4+ years of experience with building and operating cloud-native solutions in Azure, AWS, or GCP
 * 3+ years of experience providing technical leadership to engineers, including mentoring, design review, delivery oversight, and best-practice adoption
 * 3+ years of experience with CI/CD, DevOps tooling, and modern software delivery practices, * Strong understanding of Generative AI, responsible AI, AI governance, model integration patterns, and enterprise AI enablement practices, demonstrated through certifications
 * Hands-on experience building or enabling AI/ML-powered engineering workflows, including use of AI to improve SDLC productivity and operations
 * Strong understanding of event-driven architecture, security, identity, logging, observability, performance tuning, and production operations
 * Hands-on experience with Java, Python, and modern JavaScript frameworks for development and testing, as well as GitHub Copilot workflows and skills
 * Experience with healthcare technology, healthcare data, regulated environments, or enterprise compliance expectations
 * Experience with Agile/Scrum methodologies, technical refinement, backlog shaping, dependency management, and delivery planning

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

## Description

We are seeking a Senior Software Engineer to drive development and delivery of the next generation of scalable enterprise software and AI-powered applications in the Clinical AI domain. In this role, you will join a forward-thinking engineering team dedicated to building highly performance, secure, and automated solutions for AI 10.0 initiatives, including Touchless Prior Authorization. You will have the opportunity to work with modern technologies and cloud environments to integrate intelligent capabilities, automate workflows, and design robust architectures that solve complex business and healthcare challenges.
You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges and be rewarded and recognized for your performance as you take on meaningful and complex challenges in healthcare.
Primary Responsibilities:

 * Collaborate cross-functionally with business, product, engineering, security, infrastructure, and operational partners to identify AI integration opportunities that improve automation, workflow intelligence, decision support, and delivery speed
 * Translate business and operational needs into clear technical requirements, ensuring solutions align with enterprise architecture standards, stakeholder goals, and responsible AI expectations
 * Design, develop, and deliver advanced AI-enabled integration solutions, including intelligent orchestration and AI-assisted workflows
 * Drive AI 10.0 initiatives by creating scalable, high-quality implementations that reduce manual effort, improve operational consistency, and accelerate delivery of critical automation work
 * Assess internal and external solution options for fit within enterprise infrastructure, including compatibility, scalability, security, reliability, data handling, observability, supportability, and long-term maintainability
 * Use enterprise-approved AI tools to streamline workflows, automate testing, and drive continuous improvement
 * Ensure solutions meet enterprise standards for identity and access management, data privacy, compliance, resilience, monitoring, incident response, change management, auditability, and responsible AI use
 * Mentor engineers and influence best practices for AI-enabled solution design, automation, AI-assisted engineering, sustainable platform integration, operational readiness, and continuous improvement

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 directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.


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