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.
Responsibilities
- Architect, develop, and deploy scalable AI/ML platforms and full stack application solutions, spanning model training, inference, APIs, and user experiences
- Implement AI/ML computing infrastructures and application stacks using frameworks such as AWS Bedrock core/Google ADK, with orchestration using AWS AgentCore for multi agent workflows
- Design end to end pipelines covering data ingestion, feature processing, model serving, and observability
- Build and maintain production grade backend services and APIs using Java and Python
- Develop and integrate frontend and lightweight UI components (eg, dashboards, internal tools) to operationalize AI workflows and analytics
- Apply modern software engineering practices including CI/CD pipelines, containerization, and cloud native deployment
- Partner closely with data scientists, product managers, UX teams, and business stakeholders to translate complex business requirements into scalable AI and full stack solutions
- Act as a bridge between research, engineering, and product teams to ensure solutions are practical, performant, and maintainable
- Define and document architecture roadmaps, reference architectures, and standard operating procedures for AI/ML systems
- Ensure alignment with enterprise standards for reliability, security, fairness, transparency, and regulatory compliance
- Lead technical design reviews, guide architectural decisions, and oversee model evaluation, optimization, and deployment cycles
- Mentor junior and senior engineers, setting clear expectations for code quality, system design, and operational readiness
- Conduct applied research to advance capabilities in Generative AI, NLP, NLU, computer vision, and predictive modeling
- Stay current with emerging tools, architectures, and industry trends, and translate them into actionable engineering practices
- Lead disaster recovery and business continuity planning for AI and application infrastructure
- Monitor, tune, and continuously improve deployed models and services for performance, accuracy, scalability, and cost efficiency
Skills
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field
- 9+ years of professional software engineering experience, with demonstrated success designing and delivering high quality, commercial full stack applications in production environments
- 6+ years of hands on proficiency in Java, Python, SQL, and Linux shell scripting, with production experience in distributed systems
- 5+ years of AI/ML engineering experience, including deploying models at scale and leading or mentoring technical teams
- 4+ 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 analysis
- 2+ years of experience in MongoDB and MLOps
- Proven cloud experience with Google Cloud (Vertex AI) and working knowledge of AWS, including cloud native architectures, containerization, and orchestration
- Hands on experience with Hadoop ecosystems, and MLOps practices for model lifecycle management
- Experience integrating AI/ML models into end to end, user facing applications
- Solid understanding of API based architectures, distributed data systems, and scalable backend services
- Must 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 requirements
- Data Science Foundations: Solid grounding in statistics, probability theory, optimization, simulation, and data modeling
- Communication & Influence: Ability to clearly present complex analytical and AI concepts to both technical and non technical audiences
Benefits
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 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.
- 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 Overview
We’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.