Sr AI/ML Data Engineer Remote or Office-Based in MN/DC
About The Position
Optum Tech is seeking a Senior AI/ML Software Engineer to build AI-powered data products and modern digital experiences across analytics and healthcare platforms. This hands-on full-stack engineering role focuses on intelligent applications for Compass reporting and the Quality & Patient Safety (QPS) platform. The role includes building frontend experiences, backend services, AI/ML capabilities, and cloud-native data solutions that support self-service analytics, operational insights, and quality improvement initiatives. The position may be performed remotely from anywhere in the U.S. Employees hired in the Minneapolis or Washington, D.C. area must work in the office at least four days per week. Remote employees must follow UnitedHealth Group’s Telecommuter Policy. The role also provides technical leadership, mentorship, and input into architecture and technology decisions. Compensation ranges from $120,100 to $214,500 annually, based on full-time employment and factors including local labor markets, education, work experience, and certifications.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 5 years of experience building production-grade data platforms and pipelines using Python or Java, SQL, Spark/PySpark, and Databricks or equivalent technologies.
- At least 3 years of experience designing batch, streaming, and event-driven data solutions using cloud platforms such as AWS, Azure, or GCP.
- At least 2 years of experience delivering production Generative AI solutions, including RAG, retrieval, evaluation, monitoring, and AI/ML deployment enablement.
- At least 2 years of experience with modern data engineering practices, including data quality and observability, metadata, lineage, and governance.
- Demonstrated ability to lead technical initiatives, mentor engineers, influence cross-functional teams, and translate ambiguous requirements into scalable solutions.
Nice To Haves
- Experience with Databricks, Snowflake, Microsoft Fabric, Delta Lake, or similar cloud data platforms.
- Experience with Generative AI architectures, including RAG, vector search, and model evaluation frameworks.
- Experience with streaming technologies such as Kafka, Event Hubs, or Kinesis.
- Experience with MLOps capabilities, including feature stores, model registries, and deployment automation.
- Experience with data quality and observability platforms.
- Familiarity with metadata-driven architectures, knowledge graphs, or entity resolution concepts.
- Experience in healthcare data, analytics, and PII/PHI-compliant solutions.
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.
Benefits
- Comprehensive benefits package, subject to eligibility requirements.
- Incentive and recognition programs.
- Equity stock purchase.
- 401(k) contribution.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
