Senior AI ML Software Engineer - Data Platforms - Remote Nationwide or Hybrid in MN or DC

UnitedHealth Group is a global leader in health care innovation, and they are seeking a Senior AI/ML Software Engineer to build AI-powered data products and modern digital experiences across their analytics and healthcare platforms. This role focuses on developing intelligent applications and involves responsibilities such as designing AI/ML solutions, building full-stack applications, and integrating with enterprise data platforms.

Responsibilities:

• Design, develop, and deploy AI/ML and Generative AI solutions using LLMs, RAG, agents, and modern AI frameworks
• Build scalable full-stack applications using React, TypeScript, JavaScript, Java/Spring Boot, Python, REST APIs, and SQL
• Develop intuitive user experiences, dashboards, reporting solutions, and AI-enabled workflows
• Build and enhance self-service analytics, reporting, and data exploration capabilities
• Develop applications supporting quality, patient safety, benchmarking, insights, action management, and workflow automation
• Integrate applications with enterprise data platforms and cloud-native data ecosystems
• Design and implement microservices, APIs, data models, and event-driven architectures
• Apply engineering best practices including CI/CD, automated testing, observability, security, and performance optimization
• Collaborate with product, analytics, business, and platform teams to deliver high-quality solutions
• Provide technical leadership, mentor engineers, and contribute to architecture and technology decisions

Requirements:

• Bachelor's in Computer Science, Engineering, AI/ML, Data Science, related field, or the equivalent experience
• 6+ years of hands-on software engineering experience building enterprise-scale applications
• 4+ years of hands-on experience in React, TypeScript, JavaScript, Java/Spring Boot, Python, REST APIs, and SQL
• 1+ years of experience in designing, developing, and deploying AI/ML and Generative AI solutions in production environments
• 2+ years of experience with LLMs, RAG architectures, vector databases, prompt engineering, AI agents, and AI application development
• 4+ years of experience building cloud-native applications on Azure, AWS, or GCP
• 3+ years of experience with modern data platforms such as Snowflake, Databricks, or Microsoft Fabric
• 4+ years of experience with microservices, distributed systems, CI/CD, automated testing, observability, and software engineering best practices
• Excellent problem-solving, communication, and collaboration skills
• Experience in healthcare, analytics, quality, patient safety, or reporting domains
• Experience with Apache Superset, Power BI, embedded analytics, or self-service BI platforms
• Experience with LangChain, Semantic Kernel, OpenAI, Azure AI Services, or similar AI frameworks
• Experience leading technical initiatives and mentoring engineers