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.  

The Consumer Engineering (CE) team is responsible for building all consumer-facing experiences. We are expanding our capabilities to power the next generation of AI-driven consumer experiences that surprise and delight. We plan to achieve this by building innovative new platforms, frameworks, and solutions designed to make healthcare easy and personalized.

Key Challenges

Simplifying Healthcare Complexity: Apply cutting-edge AI/ML techniques to navigate the intricate healthcare landscape, making it easier for millions of users to access the care and resources they need Building Scalable AI Systems: Design and deploy robust, production-grade AI solutions capable of handling large volumes of data and user interactions within consumer-facing applications Rapid Innovation: Stay ahead of the curve in the fast-evolving field of AI, identifying and applying new advancements (like LLMs) to solve real-world healthcare problems effectively and ethically Cross-Functional Integration: Seamlessly integrate AI capabilities into broader consumer experiences, collaborating effectively with product, design, and engineering counterparts

Primary Responsibilities:

Lead and manage a team of engineers that focus on solving our most difficult challenges through the lens of AI Provide mentorship and guidance to junior and senior engineers, focusing on technical skill development, career growth, and overcoming non-technical challenges Work with a team to design, build, and deploy machine learning models and AI-powered systems (including LLM-based applications) for consumer-facing platforms and solutions Engage in the full AI lifecycle: from brainstorming and conceptualization, through rapid prototyping and experimentation, to writing robust production code Architect and manage cloud infrastructure for AI solutions, deploying applications reliably using Infrastructure as Code principles Develop and maintain reusable AI/ML platforms and frameworks to accelerate innovation across the Consumer Engineering team Collaborate closely with product managers, designers, and other engineers to translate complex requirements into scalable, impactful AI solutions Stay current with the latest advancements in AI/ML, evaluating and championing new techniques to tackle healthcare challenges Effectively communicate complex AI concepts and technical details to diverse audiences, including technical peers, product stakeholders, and leadership Contribute to a team culture focused on technical excellence, continuous learning, and curiosity 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:

Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience Core Experience: 7+ years of professional software engineering experience leading a team with a significant focus on building and deploying AI/ML models and systems LLM Experience: Experience building LLM-powered applications and deploying them in a production environment (considering aspects like load balancing, containerization, serverless components, networking, etc.) AI/ML Expertise: Deep understanding of core AI and machine learning concepts, models, and algorithms. You can explain complex ideas clearly to technical and non-technical audiences alike Technical Breadth: While AI is your focus, you're deeply familiar with other relevant technologies like front-end frameworks (e.g., React Native), CI/CD pipelines, REST/WebSocket API development, and general software engineering best practices Broad ML Domain Knowledge: Knowledgeable about various machine learning domains such as Natural Language Processing (NLP), Computer Vision, Personalization & Recommendation systems, and/or Anomaly Detection Adaptability & Learning Agility: Proven ability to quickly learn new technologies and methodologies, comfortable working on tasks outside your immediate expertise Ownership & Drive: Proven to be self-driven, take immense pride in your work, proactively tackle problems, and find satisfaction in building impactful solutions Inherent Curiosity: Proven to possess a solid desire to understand *how* and *why* things work, not just accepting that they do

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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