UnitedHealth Group Inc.-posted about 2 months ago
Full-time • Mid Level
Remote • Boston, MA
5,001-10,000 employees
Insurance Carriers and Related Activities

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Optum Insight partners with payers, providers, governments and life sciences companies to simplify and enhance clinical, administrative and financial processes through software-enabled services and analytics, while advancing value-based care. Our differentiated products, technology insights, clinical expertise and analytics support the entire health system - ultimately delivering better experiences for consumers. Optum Insight Technology and Engineering is a critical function in Optum Insight driving the innovation and value we provide our customers and partners. This team is focused on products, solutions, platform/enabling capability development, product development lifecycle, engineering excellence and connectivity to Optum Technology. You'll be a part of our AI Data Engineering team. We often deliver the entire AI solution, from healthcare data integration, AI model deployment, processing, results and analytics, to the applications used for reviewing clinical data and AI results. Our projects often encompass leveraging and building cutting edge Generative AI technologies from scratch. We have the data and resources to make an impact on a scale. When our solutions are deployed, they process millions of clinical data elements and benefit millions of patients. We are a globally distributed and diverse team with the shared passion to improve patient outcomes, improve healthcare operations and streamline payments. We pay attention to the details to make sure we deliver quality, the first time. 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. 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.

  • Design and implement automated test suites for AI/ML workflows that enables Optum to derive information from patient data in a scalable, reliable, and cost-effective manner using AI
  • Analyze clinical data and determine the best designs on how to verify the correct processing of this data
  • Perform functional, regression, integration, and system testing to validate software quality
  • Identify, create, and track reproducible defects using bug-tracking tools, collaborating with developers for resolution
  • Conduct performance and load testing to identify bottlenecks and measure throughput
  • Integrate automated tests to our AWS and GCP accounts to achieve continuous integration (CI/CD)
  • As an advocate for product quality, ensure that team members adopt agile SCRUM methodologies, perform unit tests, code reviews
  • Review and contribute to engineering specifications to ensure that each feature/user story can be tested in an automated fashion
  • Write integration test plans with end-end test automation as a goal
  • Mentoring a couple of mode Junior engineers who may write test cases
  • Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows and decision-making
  • Master's degree in computer science, Engineering, or a related technical field
  • 4+ years of work experience in AI/ML engineering with solid proficiency in Python programming
  • 2+ years of experience as an SDET using test automation tools like Selenium, Cypress or similar tools
  • Experience in at least one project using API testing tools like Selenium, Pytest, Postman or similar
  • Delivered at least one product hosted on a cloud platform (AWS, GCP, or Azure)
  • AWS experience such as RDS, ALB, Redis Cache, Secret Manager, EC2, IAM
  • Experience in deploying generative AI systems (LLMs, Prompts, Agentic systems)
  • Experience with Rally
  • Experience integrating with healthcare data systems and working with clinical data formats
  • Solid communication and collaboration skills, with the ability to thrive in fast-paced and ambiguous environments
  • Solid analytical skills and ability to debug issues in complex systems
  • Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation, GitHub actions, Azure DevOps)
  • All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
  • a comprehensive benefits package
  • incentive and recognition programs
  • equity stock purchase
  • 401k contribution
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