Sr AI or ML Engineer - Clinical AI systems - Remote

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 a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Optum Insight partners with healthcare organizations to simplify clinical, financial, and administrative processes through software and analytics, driving better experiences and value-based care.

As part of the AI Data Engineering team, you'll build end-to-end AI solutions - from healthcare data integration and model deployment to analytics and clinical review tools. Our projects often involve developing cutting-edge Generative AI technologies from scratch.

We're a globally distributed, mission-driven team focused on improving patient outcomes, streamlining operations, and delivering quality at scale.

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.

Primary Responsibilities:

• Design, develop, and operate secure cloud platform services and software that meet business requirements
• Create GitHub Actions and workflows for standardize CI/CD pipelines within UHG
• And ensure that pipelines are following best practices, documented and delivered in a scalable reusable manner
• Demonstrate innovation, streamline processes, and reduce technical debt by standardizing patterns
• Automate repetitive tasks (TOIL), monitor applications, simplify work practices, define metrics, and ensure the operational quality of applications
• Manage security controls at the platform level to enable secure, efficient, and policy-compliant operations
• Collaborate with multiple partner teams to communicate information security guidance and standards and reduce information security risks
• AI User Responsibilities
• Uses GitHub Copilot to speed up the creation of boilerplate code
• Uses M365 Copilot to recap meetings and draft emails
• Uses a chat-based AI tool to debug code
• Uses GenAI to create sample test data or test cases
• Uses StoryCraft to streamline the creation of user stories
• AI Expectations
  • Will utilize AI tools and applications to perform tasks, make decisions and enhance their work and overall cloud migration velocity. Expected to use AI Powered software for data analysis, coding, and overall productivity
  • 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

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.

Required Qualifications:

• Bachelor of Science degree with 7+ years or Masters of Science with 5+ years in Computer Science or similar experience
• 5+ years of experience as a software development engineer or equivalent hands-on experience producing code for production systems
• 4+ years working with Public Cloud providers such as AWS, Azure, Google Cloud Platform, beyond basic IaaS functionality
• 2+ years of engineering experience in building infrastructure using code and repeatable designs (IaC)
• 2+ years of experience in automating CI/CD using Jenkins [Pipeline as Code], GitHub actions, or similar tools, along with proficiency in source control systems such as Git
• 2+ years of experience working with Agile team
• 1+ years of experience in designing, building and deploying ML models with AWS SageMaker or Azure ML
• 1+ years of experience using AI tools to enhance productivity and innovation, such as GitHub CoPilot
• Proven track record of engaging with customers to design and deliver at least two complete AI products, from ideation to product release

Preferred Qualifications:

• Working with Generative AI API's and Frameworks
  • Hands-on experience with API's like OpenAI, Google Gemini and Hugging face
• Experience with containers and orchestration platforms, such as Kubernetes
• Experience with Cloud Computing (AWS/Azure/Google Cloud Platform), DevOps tools and automation using Python or any other scripting language
• Experience in using Tools like GitHub Copilot, Cursor, Windsurf or Amazon Code Whisperer etc.
• Knowledge of API design and lifecycle management (REST, etc.)
• Familiarity with inter-service messaging and stream discovery (SQS, Pub/Sub Kafka, etc.)
• Familiarity with frameworks like Lang Chain, AutoGen and Microsoft Copilot Studio etc.
• Good understanding of LLMs and generative models
• Prompt Engineering
  • How to effectively create prompts to get desired output from generative models
• Expertise in data storage, caching, and optimization (SQL and NoSQL databases)
• Proficient in algorithms, data structures, object-oriented programming, and system design
• Proficiency in instrumentation, logging, and tracing tools (Prometheus, CloudWatch, Stack Driver, Azure Monitor, etc.)
• Proficiency with AI-Assisted Development Tools
• Proven excellent verbal, written and interpersonal communication skills
• Proven evidence-based approach to decision-making and problem-solving
• Proven design mindset with the ability to construct scalable, distributed services

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $89,900 to $160,600 annually based on full-time employment. We comply with all minimum wage laws as applicable.

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.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.