Requisition Number: 2363040 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 Manager, AI/ML Engineering within our UHC Operations and Experience division at Optum Technology, you will lead a highly skilled team of engineers driving next-generation machine learning and artificial intelligence capabilities. Our team's mission is to (Input Required: Insert Team Mission/Vision). In this role, you will lead the architecture, design, and deployment of complex AI/ML software in production environments, using technologies such as natural language processing (NLP), natural language understanding (NLU), and deep learning. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. This position follows a hybrid schedule with four in-office days per week. Primary Responsibilities: - Lead, mentor, and grow a team of high-performing AI/ML Engineers focused on researching, developing, and deploying advanced machine learning models and algorithms in production environments - Oversee the design, development, and deployment of complex AI-powered solutions addressing business challenges, ensuring collaboration across research, engineering, and product teams to translate cutting-edge AI advancements into scalable, reusable production-ready capabilities - Evaluate emerging AI trends, scientific research, and advanced methodologies to inform team solution design, architectural direction, and strategic innovation - Promote the leverage of enterprise-approved AI tools within the team to streamline engineering workflows, automate routine tasks, and drive continuous improvement - Direct the development of scalable code and software systems that integrate advanced artificial intelligence capabilities (including NLP, NLU, deep learning, computer vision, and automatic speech recognition) - Partner with leadership, product owners, and internal stakeholders to translate complex analytics results, business needs, and cutting-edge research findings into practical, production-ready AI solutions - Ensure rigorous experimental methodologies, advanced statistical analysis, probability theory, and optimization techniques are applied systematically across all model developments - Oversee ML operations (MLOps) workflows, ensuring seamless model monitoring, validation, version control, and continuous integration/deployment - Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the complete model research and development lifecycle 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 degree or equivalent experience - 7+ years of experience in software engineering, with at least 4+ years of specialized experience in AI, machine learning, deep learning, or data science - 5+ years of experience coding in Python for tool-building, model training, and data analysis - 4+ years of experience implementing machine learning models in production environments using frameworks such as TensorFlow, PyTorch, or Scikit-Learn - 3+ years of experience working with large-scale data systems and distributed computing frameworks (e.g., Spark, Hadoop, Kafka, or Databricks) - 3+ years of experience building and deploying software solutions within cloud-based platforms, specifically Azure - 3+ years of experience applying experimental methodologies, statistics, optimization, and probability theory to solve complex technical problems - 3+ years of experience directly leading, mentoring, or managing technical teams of software or AI/ML engineers Preferred Qualifications: - Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative technical field - Experience with NLP/NLU (natural language processing/understanding), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR) - Experience developing applications with LLM integration using advanced frameworks such as LangChain and LangGraph - Experience in the healthcare, clinical data, or operations domains - Solid knowledge of MLOps best practices, model tracking (e.g., MLflow, Kubeflow), and cloud-based AI deployment (e.g., AWS, Azure, GCP) - Proven excellent communication skills, with a demonstrated ability to explain complex statistical and analytical concepts to non-technical business partners and leadership *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 $148,900 - $255,300 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. #BI-Hybrid

• Gerenciar e desenvolver um time de engenheiros(as), promovendo um ambiente de trabalho colaborativo, inclusivo e de alto desempenho. • Construir o direcionamento tático da sua área, alinhado à estratégia da organização. • Garantir que os projetos sejam entregues com qualidade, dentro do prazo e do orçamento, através de uma comunicação eficaz e alinhamento de expectativas. • Atuar como ponto de referência para o time, removendo impedimentos e facilitando a tomada de decisão. • Promover o crescimento profissional do time, através de feedbacks contínuos, oportunidades de aprendizado e desenvolvimento de carreira. • Participar ativamente do processo de recrutamento, atraindo e selecionando os melhores talentos para o time. • Fomentar uma cultura de melhoria contínua, buscando sempre otimizar processos e práticas.

• Lead, mentor, and develop a team of Senior Digital Workspace Engineers and technical staff. • Define and execute the Digital Workspace practice strategy. • Ensure high availability, performance, security, and SLA compliance for client digital workspaces. • Support business development, proposal efforts, and revenue growth for the Digital Workspace practice.

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. A core difficulty in legacy code transformation is guaranteeing the equivalence of the new application's business logic, ensuring it operates smoothly and efficiently with the new MongoDB data ecosystems in a reliable and scalable manner. The success of this mission heavily relies on the essential tools developed by the CodeGen team. We are looking for an experienced Senior Lead Software Engineer with a strong background in database ecosystem, reshaping complex large-scale services and team leadership. You will lead a talented team building a complex product suite using GenAI capabilities. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging application transformation problems. This role will be based in North America west coast, and offers a hybrid working model. The ideal candidate for this role will have - 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure - 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results - Extensive product experience in building enterprise-grade analytics systems for data streaming or data tooling - Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB) - Having experience in using GenAI in building complex large-scale systems, and knowing what GenAI is best suited to do, is a plus - Curiosity, a positive attitude, and a drive to continue learning - Excellent verbal and written communication skills - Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity Position Expectations - Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement - Drive the architectural vision and long-term technical roadmap for the Code Gen product suite, ensuring it is scalable, reliable, and performant - Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs - Lead the design and implementation of complex, mission-critical components of AMP’s code transformation toolset - Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence - Act as a hands-on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary Success MeasuresWithin the first three months, you will have: - Fully ramped up on our architecture, business domain, and team processes - Establish yourself as the technical leader within the team, actively driving technical discussions, design reviews, and planning for the product roadmap - Begin mentoring team members and building strong collaborative relationships with your product counterparts Within six months, you will have: - Successfully led the team to deliver a major feature or product release - Made significant contributions to the architectural roadmap and started influencing the technical direction of adjacent teams - Established a clear rhythm of execution and a high-performing culture within your team Within 12 months, you will have: - Become recognized as the go-to technical expert for the code transformation domain at MongoDB - Delivered large-scale features across the entire tech stack that have a measurable impact on our customers and business - Played a crucial role in recruiting, hiring, and growing the engineering team About MongoDBMongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. REQ ID: 1273362479 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $191,000—$265,000 CAD