Requisition Number: 2341924 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. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. Optum AI team members: - Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone - Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development - Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities 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: - Develop and implement AI and machine learning strategies to drive healthcare solutions, build and test machine learning and deep learning models - Implement and design novel machine learning, deep learning, and generative AI approaches inspired by relevant literature - Build robust machine learning pipelines to support production processes - Process and transform source data to be used in machine learning pipelines, leveraging cloud computing - Collaborate with cross-functional teams to determine applicability of AI to business problems - Design, plan, and prioritize experiments - Communicate findings with business stakeholders and collaborate to develop solutions that meet customer needs - Develop code and model documentation and assist with model governance approvals - Closely collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with the company policies and standards. Develop code and documentation to assist with model governance - Clearly document and following best coding practices with Python packages, etc. along with the use of GitHub - Create and present presentations in the form of presentations and written documents of analysis results to Optum AI and business leaders 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: - PhD in computer science or a related quantitative field - 5+ years of machine learning and data science experience - 3+ years of experience with Python, classical ML methods and deep learning (i.e. PyTorch or Tensorflow) - 2+ years of experience leading projects with solid technical communication skills, including demonstrated technical leadership - 2+ years of hands-on experience with NLP approaches such as text embedding and text classification, using and evaluating LLMs/generative AI models, RAGs, etc. - Experience with distributed training of GenAI models - Demonstrated research publications in top-tier AI conferences (preferably healthcare-focused) - Conducted independent research study leading to novel architecture/optimize technique, related to LLMs and SLMs *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.

Requisition Number: 2346821 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. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. Optum AI team members: - Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone - Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development - Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities 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 data science work conceptualizing, designing, developing, and maintaining AI/ML models for disease progression/patient engagement programs - Meet with business partners to understand requirements and design solution(s) which work best for the problem - Review AI/ML model ideas, engineering designs and offer ideas for new approaches - Develop and evolve Data Science and Engineering roadmap for disease progression and patient engagement programs - Raise the bar on excellence in execution in terms of quality, timeliness, and scalability - Collaborate with counterparts in other Geographical locations to ensure smooth execution of critical projects across the board - Recommend applicable technical patterns and solutions that are aligned with architectural guiding principles and standards through a regular cadence of delivery and continuous improvement initiatives - Collaborate closely with Product and Capability Architects on aligning inferred Solutions and Enterprise architecture to granular technical patterns and solutions - Govern technical debt and promote balance 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: - MS degree in Computer Science or related field - 7+ years of experience using computer languages (Python, SQL) to manipulate data and draw insights from large data sets, including cloud-based Databricks and Azure AI Services Preferred Qualifications: - Ph.D. in Computer Science or related field - 10+ years of data science experience - Knowledge of advanced statistical techniques and concepts and experience with applications - Proven solid problem-solving skills with an emphasis on model development and engineering - Proven outstanding communication skills both written and verbal - Knowledge of a variety of machine learning techniques (clustering, decision trees, neural networks, graph ML, OCR, sentiment analysis, etc.) and their real-world advantages/drawbacks *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.

Role Description Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions across our healthcare technology platforms. This role involves: - Development based on AI/ GEN AI: - Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications. - Experienced in multiple LLM fine tuning techniques. - Experienced in building GEN AI solutions using RAG architecture. - Skilled in both Lang Chain and Lang Graph. - Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm. - Experienced in multiple Vector Databases as well as Graph Database. - Skilled in Agentic AI Framework and has built at least one solution using Agentic AI. - End-to-End AI Solution Deployment: - Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact. - Data Processing: - Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. - System Integration: - Skilled in API development and integrations. - Implement and optimize AI models within Gainwell’s existing technology stack, collaborating with software engineers to ensure seamless integration. - Performance Optimization: - Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices. - AI Research & Innovation: - Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness. - Compliance & Security: - Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards. - Automation & Workflow Enhancement: - Identify opportunities to automate workflows and optimize business processes using AI-driven solutions. - Front End Development: - Streamlit is a must. Good to have React, Angular or Vue.js. - Leadership Skills: - Should be able to work as a team lead, interface with team leads of other functions/departments, understand business requirements and translate the same to an appropriate solution that is feasible to develop and deploy. Qualifications - Bachelor or Master’s or higher in Computer Science, AI, Data Science, Engineering or a related field. - 12 plus years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions. - Hands-on expertise in machine learning, deep learning, Gen AI (multi modal LLMs), NLP, and computer vision. - Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. - Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency. - Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments. - Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases). - Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. - Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus. - Understanding of business use cases, strong interpersonal skills, architecting skills and abilities to convince multiple stakeholders. What You Should Expect in This Role - Fully Remote Opportunity – Work from anywhere in India. - Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.

Role Description This is a remote position. Virtual Rockstar is hiring a full-time AI Product Builder & Systems Engineer to join our leadership team and help design, build, and scale the next generation of our internal systems and external technology products. This is not a traditional software developer role. We are looking for an AI-native builder—someone who can architect, deploy, and continuously improve AI-powered systems that directly impact business performance. This role is about execution, not exploration. If you are someone who ships, iterates, and solves real problems using AI and automation, keep reading. Responsibilities - AI Systems & Automation Development - Build AI-powered workflows using tools like Claude, ChatGPT, and other LLM platforms - Design and implement automation systems across recruiting, onboarding, training, and operations - Develop prompt systems (context handling, structured outputs, etc.) to improve performance - Product & Application Development - Build internal tools from scratch that improve efficiency and scalability - Develop systems that can be productized into external offerings - Own the full lifecycle: idea → build → deploy → iterate - Cloud & Systems Architecture - Design and deploy applications using cloud infrastructure - Build scalable, reliable systems using modern architecture - Manage APIs and integrations across multiple platforms - Business Problem Solving - Identify inefficiencies and propose automation or AI-based solutions - Evaluate when to use no-code tools vs. custom builds vs. existing platforms - Design systems end-to-end, not just individual components - Rapid Prototyping & Iteration - Turn ideas into working prototypes quickly - Ship fast, test in real environments, and iterate based on results - Continuously improve systems through real-world feedback Qualifications - Must-Have Skills - Strong proficiency in Python and/or JavaScript/TypeScript - Experience integrating LLMs (OpenAI, Anthropic, or similar) - Strong understanding of prompt engineering and system design - Experience building and maintaining APIs and integrations - Familiarity with cloud platforms (AWS, GCP, Vercel, or similar) - Systems & Operations Thinking - Ability to think problem-first, not tool-first - Experience building end-to-end systems, not just features - Familiarity with automation tools (Zapier, Make, GHL, etc.) - Nice-to-Have Experience - Vector databases (Pinecone, Weaviate, pgvector) - Agent frameworks (LangChain, CrewAI, AutoGen) - Data pipelines / ETL workflows - AI coding tools (Claude Code, Cursor, Copilot) - Startup or small-team experience Requirements - Builder mindset — you ship real things, not just ideas - High ownership and ability to work without a playbook - Strong communication — you can explain complex systems simply - Fast execution — you move quickly and iterate often - Business awareness — you understand why you're building something Red Flags (Not a Fit If…) - You’re “interested in AI” but haven’t shipped real projects - You rely heavily on theory without execution - You default to one tool for every problem - You need highly structured direction for every task - You prefer exploration over delivery Why This Role Matters This is a high-impact, leadership-level role that will directly influence: - How Virtual Rockstar scales internally - How we automate and optimize operations - How we build future products and revenue streams - You won’t just be writing code—you’ll be building the systems that shape the company. Benefits - Competitive salary commensurate with experience. - Opportunities for professional development and growth. - Work in a dynamic and supportive team environment. - Make a meaningful impact by helping to build and strengthen families across the globe.