Requisition Number: 2341652 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 AI/ML adoption across the team, driving innovative use of both Generative AI and traditional ML techniques - Design, develop, test, deploy, maintain, and continuously improve AI-powered software solutions to meet customer and business needs - Build responsible AI solutions and service components to support the Provider community, ensuring compliance with ethical and regulatory standards - Develop new features leveraging AI/ML, including Generative AI models, predictive analytics, and automation capabilities - Provide technical leadership for AI initiatives, including Chatbots and conversational AI solutions - Partner with product management, architects, and engineering leadership to deliver creative, scalable AI solutions for healthcare challenges - Drive alignment with enterprise AI strategies and ensure solutions meet business objectives and engineering best practices - Accountable for high-quality software deliverables and operational excellence - Mentor and train team members on AI/ML technologies, frameworks, and responsible AI practices - Collaborate with broader engineering teams to integrate AI into cloud modernization efforts and digital-first initiatives - Exercise independent judgment to prioritize, plan, and manage AI-related activities and projects 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: - Undergraduate degree or equivalent experience - 6+ years of software engineering experience - 5+ years of hands-on experience building AI/ML solutions, including LLMs, Generative AI, and traditional ML models - 5+ years of experience with Web and API development - 5+ years of experience hosting applications in cloud environments (AWS preferred) - Solid experience with Chatbots, conversational AI, and NLP-based solutions - Solid knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations Preferred Qualifications: - BS in Computer Science, Engineering, or related technical field (or equivalent experience) - Experience in the healthcare industry - Full-stack engineering experience *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 $91,700 to $163,700 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.

• Our AI roadmap is live and shipping. You’ll work on systems that go from training and evaluation to production monitoring: • Survey timing optimization model — an ML system that learns the optimal moment to send a survey for each client relationship, maximizing response rates and data quality • NLP pipeline for free-text feedback analysis — classifying, scoring, and extracting structured signals from open-ended survey responses across thousands of enterprise clients • Client health scoring — an aggregate model that combines survey results, response patterns, historical sentiment, and relationship signals into a single predictive score per account • Agentic AI architecture using LLM orchestration (Google Vertex AI / ADK) — multi-agent systems that reason over client data and surface proactive recommendations to account managers • RAG system over enterprise knowledge bases — grounding LLM outputs in verified client data and platform knowledge • MLOps infrastructure: model versioning, A/B testing, inference cost monitoring, drift detection, and production observability for agent loops

• Develop and evaluate AI-based biomarkers using multimodal data. • Design, implement, and improve machine-learning models to predict patient outcomes and treatment response. • Contribute to the end-to-end model development lifecycle, including data preparation, training, evaluation, and validation. • Support the productionalization, launch, and monitoring of machine-learning models in collaboration with platform and product teams. • Conduct research and experimentation to improve model performance, robustness, generalizability, and interpretability. • Collaborate with biostatistics, clinical, and product partners to translate clinical questions into machine-learning solutions. • Contribute to scientific publications and conference submissions alongside the broader research team.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers a unique opportunity to shape the future of trust and safety across a large-scale, high-impact platform. As a senior technical contributor, you will: - Design, build, and productionize cutting-edge Machine Learning and Agentic AI models to detect and prevent fraud, protect users, and enhance overall platform safety. - Influence long-term ML strategy and drive large-scale initiatives across multiple teams. - Mentor other engineers while remaining hands-on in coding and model deployment. - Contribute directly to protecting the community and improving operational outcomes at scale. Accountabilities: - Define and execute the long-term Machine Learning technical vision for trust and safety initiatives, identifying key investments and championing best practices. - Lead the design, development, and productionization of ML models and pipelines, including batch and real-time use cases for anomaly detection, risk evaluation, and generative AI applications. - Drive multi-quarter, cross-team ML projects, ensuring alignment across product, platform, and trust engineering roadmaps. - Mentor and provide technical guidance to other ML and software engineers on complex architectural, modeling, and production challenges. - Collaborate with cross-functional partners—including software engineers, data scientists, and product managers—to translate requirements into scalable ML solutions. - Continuously evaluate emerging AI/ML technologies to advance capabilities, model performance, and operational reliability. - Contribute hands-on code and actively participate in building robust, scalable, and maintainable ML systems. Qualifications - 12+ years of industry experience in applied Machine Learning, with 2–3+ years working with LLMs and generative AI technologies, including Agentic AI frameworks. - Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, or a related field. - Strong programming skills in Python, Scala, Java, C++, or equivalent, with solid data engineering expertise. - Deep understanding of ML best practices (training/serving skew minimization, feature engineering, model selection) and algorithms (gradient boosted trees, neural networks, deep learning). - Hands-on experience with ML frameworks and tools such as TensorFlow, PyTorch, and Kubernetes, as well as end-to-end ML infrastructure and production systems. - Familiarity with large-scale software application architecture, including APIs, high-volume data pipelines, and efficient model deployment. - Experience with test-driven development, A/B testing, and incremental deployment. - Prior experience in Trust, Risk, fraud detection, or safety domains is a plus. - Excellent collaboration, communication, and mentoring skills. Benefits - Competitive base salary range: $244,000 – $305,000 USD, dependent on experience and skills. - Performance-based bonuses, equity, and other incentive programs. - Comprehensive health, dental, and vision insurance coverage. - Flexible remote work options and paid time off. - Access to advanced AI/ML tools, high-scale platforms, and cutting-edge technologies. - Opportunities for career growth, skill development, and mentorship in a highly innovative environment. Company Description