[Remote] Lead AI ML Engineer - Remote

Note: The job is a remote job and is open to candidates in USA. Optum is a global leader in health care innovation, developing advanced solutions to improve health systems and outcomes. The Lead AI/ML Engineer will design, build, and deploy AI and machine learning solutions while collaborating with cross-functional teams to drive innovation and operational excellence.ResponsibilitiesArchitect, develop, and deploy scalable AI/ML platforms and full stack application solutions, spanning model training, inference, APIs, and user experiencesImplement AI/ML computing infrastructures and application stacks using frameworks such as AWS Bedrock core/Google ADK, with orchestration using AWS AgentCore for multi agent workflowsDesign end to end pipelines covering data ingestion, feature processing, model serving, and observabilityBuild and maintain production grade backend services and APIs using Java and PythonDevelop and integrate frontend and lightweight UI components (eg, dashboards, internal tools) to operationalize AI workflows and analyticsApply modern software engineering practices including CI/CD pipelines, containerization, and cloud native deploymentPartner closely with data scientists, product managers, UX teams, and business stakeholders to translate complex business requirements into scalable AI and full stack solutionsAct as a bridge between research, engineering, and product teams to ensure solutions are practical, performant, and maintainableDefine and document architecture roadmaps, reference architectures, and standard operating procedures for AI/ML systemsEnsure alignment with enterprise standards for reliability, security, fairness, transparency, and regulatory complianceLead technical design reviews, guide architectural decisions, and oversee model evaluation, optimization, and deployment cyclesMentor junior and senior engineers, setting clear expectations for code quality, system design, and operational readinessConduct applied research to advance capabilities in Generative AI, NLP, NLU, computer vision, and predictive modelingStay current with emerging tools, architectures, and industry trends, and translate them into actionable engineering practicesLead disaster recovery and business continuity planning for AI and application infrastructureMonitor, tune, and continuously improve deployed models and services for performance, accuracy, scalability, and cost efficiencySkillsBachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field9+ years of professional software engineering experience, with demonstrated success designing and delivering high quality, commercial full stack applications in production environments6+ years of hands on proficiency in Java, Python, SQL, and Linux shell scripting, with production experience in distributed systems5+ years of AI/ML engineering experience, including deploying models at scale and leading or mentoring technical teams4+ years of Solid cloud experience in various CSPs (especially AWS)2+ years of applied AI/ML experience, including deep learning, NLP/NLU, semantic understanding, intent classification, ASR, predictive modeling, and time series analysis2+ years of experience in MongoDB and MLOpsProven cloud experience with Google Cloud (Vertex AI) and working knowledge of AWS, including cloud native architectures, containerization, and orchestrationHands on experience with Hadoop ecosystems, and MLOps practices for model lifecycle managementExperience integrating AI/ML models into end to end, user facing applicationsSolid understanding of API based architectures, distributed data systems, and scalable backend servicesMust be authorized to work in the United States without the need for current or future employer-sponsored visa sponsorship (e.g., H-1B, TN, F-1/OPT, CPT, or other employment-based visa status)Experience working in enterprise or regulated environments with governance and compliance requirementsData Science Foundations: Solid grounding in statistics, probability theory, optimization, simulation, and data modelingCommunication & Influence: Ability to clearly present complex analytical and AI concepts to both technical and non technical audiencesBenefitsA comprehensive benefits packageIncentive and recognition programsEquity stock purchase401k 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.You'll enjoy the flexibility to work remotely rom anywhere within the U.S.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.Company OverviewWe’re evolving health care so everyone can have the opportunity to live their healthiest life. It was founded in 1985, and is headquartered in Eden Prairie, Minnesota, USA, with a workforce of 10001+ employees. Its website is https://frontiertherapies.optum.com.