• Architect and lead the development of next-generation, large-scale machine learning techniques. • Define and execute the ML strategy, identifying opportunities to enhance personalization and recommendation quality across Reddit. • Lead research initiatives on scalable machine learning systems and real-time model adaptation, bringing cutting-edge advancements into production. • Partner with ML infrastructure teams to build high-performance, distributed training systems that efficiently scale across multiple GPUs and cloud environments. • Establish and optimize real-time serving architectures for large-scale embeddings, ensuring low-latency inference and high throughput. • Collaborate cross-functionally with teams in Feed Ranking, Ads, Content Understanding, and Core ML to integrate ML models into Reddit’s key AI-driven systems. • Mentor and guide senior and mid-level ML engineers, fostering a culture of excellence, innovation, and knowledge sharing. • Stay at the forefront of AI research, evaluating and introducing new modeling paradigms to keep Reddit’s ML ecosystem cutting-edge. • Drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making.

• Design and implement custom GPU/accelerator kernels to maximize performance. • Profile, benchmark, and optimize critical ML workloads. • Collaborate with researchers to translate algorithmic advances into efficient, production-ready code. • Stay current with hardware advancements (CUDA, ROCm, TPU) to inform kernel design. • Document and share best practices for low-level optimization.

• Execute and follow established Standard Operating Procedures (SOPs) for GenAI and agent-based solutions in production • Monitor platform health, model performance, and inference pipelines • Ensure stability and availability of AI services across all environments • Investigate and resolve incidents by analyzing logs, traces, and metrics • Conduct root cause analysis (RCA) and document findings • Use observability tools (logs, metrics, tracing) to detect anomalies and performance issues • Contribute to the evolution of Standard Operating Procedures (SOPs) and runbooks • Support runtime operations of LLM-based applications and agent-driven workflows • Monitor inference performance (latency, throughput, cost)

Requisition Number: 2355813 Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. 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: - Lead, mentor, and grow a team of engineers and data scientists specializing in generative AI, machine learning, and cloud-based solutions - Develop and execute a strategic roadmap for GenAI-driven initiatives aligned with PBM business goals - Oversee the architecture, development, and integration of GenAI models into PBM workflows such as prior authorization, formulary management, medication adherence, and claims processing - Collaborate cross-functionally with Product, Clinical, Data, and Compliance teams to identify high-impact AI use cases - Ensure compliance with HIPAA, HITECH, and other relevant healthcare regulations in all engineering practices and solutions - Establish best practices for model governance, data privacy, security, and responsible AI use - Evaluate and select appropriate GenAI technologies, frameworks, and vendors - Stay abreast of developments in generative AI, healthcare technology, and regulatory changes - Monitor performance and ROI of GenAI solutions, driving continuous improvement - 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's or Master's degree in Computer Science, Engineering, Data Science, or related field - 10+ years of engineering experience, including 3+ years leading AI/ML teams (preferably with GenAI project experience) - 5+ years of experience with cloud platforms (AWS, Azure, GCP), MLOps, and modern engineering practices - 5+ years of experience with Python, TensorFlow/PyTorch, and relevant GenAI libraries - 2+ years of experience and success deploying generative AI models (e.g., LLMs, foundation models) in production environments for over at least three projects - 1+ years of experience with regulatory requirements and data security in healthcare (HIPAA/HITECH) Preferred Qualifications: - Experience in the healthcare or PBM industry along with a deep understanding of PBM workflows - Proven excellent leadership, communication, and stakeholder management skills *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 $134,600 to $230,800 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. #OptumTechPJ