Senior AI ML Software Engineer

Role Description

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.
• Enjoying the flexibility to work remotely from anywhere within the U.S. (Minneapolis or Washington, D.C. area requires in-office work a minimum of four days per week).

Primary 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.

Qualifications

• 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.

Preferred Qualifications

• 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.

Requirements

• *All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy.

Benefits

• Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc.
• Comprehensive benefits package, incentive and recognition programs, equity stock purchase, and 401k contribution (all benefits are subject to eligibility requirements).
• The salary for this role will range from $120,100 - $214,500 annually based on full-time employment.

Application Deadline

This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.