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

UnitedHealth Group•Eden Prairie, MN

7h•$120,100 - $214,500•Hybrid

About The Position

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. We are seeking a Senior AI/ML Software Engineer to build AI-powered data products and modern digital experiences across our analytics and healthcare platforms. This is a hands-on full-stack engineering role focused on developing intelligent applications for Compass reporting and the Quality & Patient Safety (QPS) platform. The individual will be responsible for building frontend experiences, backend services, AI/ML capabilities, and cloud-native data solutions that enable self-service analytics, operational insights, and quality improvement initiatives. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

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

Nice To Haves

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

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