Software Engineering Lead

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.

As a Senior Software Engineer, the candidate will be responsible for integrating AI solutions with integration design and collaborating with other senior leaders, stakeholders, and customers to ensure alignment, integration of AI/ML capabilities with mentoring and leading the Engineering and Integration of AI solutions. The Ideal Candidate will follow advancements in the state-of-the-art methods that are relevant to the particular use case and provide recommendations for scalable solutions with multi cloud adoptions. The engineering tech-stack includes Azure & GCP cloud and it is therefore essential that for our engineers to be successful, they should have had experience working on cloud-based services.

Primary Responsibilities

• Lead the Design and build/develop features for AI/ML lifecycle including data processing, AI Inference end-to-end MLOps for both non-generative and generative use cases
• Writing clean, scalable, and efficient code in Python

Serve as a technical lead in developing backend services, APIs, and frontend components supporting AI/ML workflows

• Utilize deep knowledge of AI/ML systems and drive cloud architecture decisions and manage cloud-based environments for scalable ML applications (AWS, Azure, GCP, or similar)
• Oversee containerization of applications using Docker and orchestrate deployments on Kubernetes clusters ensuring high availability
• Establish and maintain CI/CD pipelines for seamless deployment, automated testing, and monitoring of ML models and services
• Collaborate closely with Data science/ML, DevOps, and Product teams to translate complex requirements into feasible technical solution that are scalable leveraging robust process architecture for AI/ML use-cases
• Mentor and guide junior and mid-level engineers, fostering best practices in coding, testing, deployment, and problem-solving
• Proactively identify and troubleshoot system bottlenecks, ensuring optimal performance and reliability
• Drive adoption of new technologies and improvements in ML pipelines, cloud infrastructure, and deployment strategies
• Ensure compliance with security, data privacy, and regulatory requirements related to AI/ML applications
• Communicate effectively with stakeholders at all levels to align technical solutions with business goals
• 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 regards 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

Required Qualifications:

• Bachelor's degree in computer science, Computer Engineering, Data Science, Information Technology, or related field
• 7+ years industry experience as a Software Engineer, Software Developer, or AI/ML Engineer, with 5+ years in senior engineering roles with increasing scope
• 7+ years of experience with demonstrable proficiency in programming languages such as Python or Java
• 4+ years of experience in high-level architecture design and solution development for large-scale AI/ML systems
• Experience with DevOps practices, including CI/CD, containerization (Docker, Kubernetes), and infrastructure as code

Preferred Qualifications

• Experience and knowledge of Large Language Models, RAG, Transformers
• Knowledge of both traditional machine learning algorithms, advanced statistical, ML techniques and modern deep learning and generative AI models and methods
• Knowledge of high-performance AI computing platforms, Linux, and shell scripting in AI computing environments, Azure ML Studio
• Comprehensive knowledge of modern data science and product/web analytics tools and techniques including python and associated data science ecosystem, machine learning, Azure Machine Learning etc.

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.

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