Senior AI/ML Engineer - Python, Azure, GITHub, Copilot, SQL

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.
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
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

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

Required Qualifications:

• BS with 7+ years or MS and 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
• 2+ years of engineering experience in building infrastructure using code and repeatable designs (IaC)
• 2+ 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
• 4+ years working with Public Cloud providers such as AWS, Azure, GCP, beyond basic IaaS functionality
• 1+ years of experience in designing, building and deploying ML models with AWS SageMaker or Azure ML
• 2+ years of experience working with Agile team
  One year 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:

• Experience with containers and orchestration platforms, such as Kubernetes
• Experience with Cloud Computing (AWS/Azure/GCP), DevOps tools and automation using Python or any other scripting language
• Knowledge of API design and lifecycle management (REST, etc.)
• Expertise in data storage, caching, and optimization (SQL and NoSQL databases)
• Familiarity with inter-service messaging and stream discovery (SQS, Pub/Sub Kafka, etc.)
• 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.)
• 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

AI Expectations:

• Hands on experience with API's like OpenAI, Google Gemini and Hugging face
• Experience in using Tools like GitHub Copilot, Cursor, Windsurf or Amazon Code Whisperer etc.
• Working with Generative AI API's and Frameworks
• Good understanding of LLMs and generative models
• Familiarity with frameworks like Lang Chain, AutoGen and Microsoft Copilot Studio etc.
• Proficiency with AI-Assisted Development Tools
• Prompt Engineering
• How to effectively create prompts to get desired output from generative models

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.