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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI ML Engineer - **Company:** LHC Group, Inc. - **Location:** Tempe, AZ, United States - **Experience:** Expert - **Salary:** $120,100.0 - $214,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Application Release Automation, Microsoft Azure, Cloud Engineering, Code Review, Distributed Systems, Systems Development Life Cycle, Simple Data Format, Software Engineering, Enterprise Software Applications, Cloud Platform System, Large Language Models, Event Driven Architecture, AI Platforms, Information Technology, Health Level Seven International, Virtual Agents, Artificial Intelligence Markup Language (AIML), Microservices - **Published:** September 12, 2026 - **Apply:** https://www.careerjet.com/job/us1bfbaeacd623c6e7c82a6848ea153aed/eaa ## About the Role * Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent experience * 5+ years of experience in enterprise software architecture, distributed systems, and cloud-native application development * 2+ years of hands-on experience with LLMs, AI platforms, Azure OpenAI, RAG, or Agentic AI frameworks * 2+ years of experience leading AI/ML and engineering transformation initiatives * 1+ years of experience establishing AI governance, Responsible AI standards, and security/compliance frameworks Preferred Qualifications: * Hands-on experience working with HIPAA file formats and healthcare data standards * Experience with Microservices, Event-Driven Architecture, and release automation platforms * Proven track record of mentoring software and AI engineers in modern development practices * Proven strategic planning, execution, and senior stakeholder management capabilities ## Description As a Senior AI/ML Engineer within Optum Technology supporting UnitedHealthcare Community & State, you will lead the evolution of AI-driven software engineering across technology teams. In this role, you will drive the transition from traditional development models to AI-assisted and agentic frameworks, designing and scaling enterprise solutions using Azure OpenAI, LLMs, RAG, and cloud-native architecture. You will collaborate closely with technology and business leadership to deliver high-impact automation, govern Responsible AI standards, and mentor engineering talent to advance healthcare delivery. Primary Responsibilities: * Lead AI Software Development Life Cycle (AIDLC) strategy, implementation, and adoption across multiple engineering teams * Drive transformation from traditional SDLC to AI-assisted and agentic development models * Design, develop, and deploy AI-powered solutions using Azure OpenAI, LLMs, RAG, and Agentic AI frameworks to address complex business challenges with an emphasis on responsible AI * Establish standards for AI-ready repositories, engineering knowledge management, and agent enablement * Build and scale engineering agents for development, testing, code review, documentation, security, and release automation * Define and govern Responsible AI, security, compliance, Human-in-the-Loop (HITL), and quality controls * Lead enterprise architecture initiatives leveraging Microservices, Event-Driven Architecture, and Cloud-Native platforms * Evaluate emerging trends to inform solution design and strategic innovation while leveraging enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement * Collaborate with business and technology leadership to identify and deliver AI-driven automation and transformation opportunities * Mentor AI Engineers and Software Engineers while supporting high-performing teams and tracking productivity, quality, delivery, and adoption metrics 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., ESSENTIAL JOB FUNCTIONS: Responsible for creating/implementing customer driven designs with minimal supervision. 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