Sr AI/ML Engineer Remote Nationwide or Office-Based in MN/DC
About The Position
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. The Sr AI/ML Engineer will design, develop, deploy, and support enterprise AI/ML solutions that improve clinical outcomes, patient engagement, operational efficiency, and regulatory compliance. This role is responsible for building production-grade machine learning systems, developing AI-enabled applications, and implementing scalable MLOps practices while partnering with cross-functional teams to deliver innovative healthcare technology solutions. The position requires solid hands-on engineering expertise in machine learning, cloud platforms, software engineering, and data systems to operationalize AI capabilities and drive measurable business impact. This role serves as a senior technical contributor responsible for the end-to-end lifecycle of AI/ML products and services. 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.
Requirements
- 5+ years of software development and/or AI/ML engineering experience.
- 5+ years of experience required Python experience, as well as proficiency with SQL and/or PySpark
- 5+ years of experience required experience developing cloud-based applications and deploying models in Azure, AWS, or Google Cloud Platform
- 5+ years of experience required experience implementing CI/CD pipelines and software engineering best practices
- 5+ years of experience required experience working with data processing, distributed computing, and large-scale data systems
- 2+ years of experience building and deploying machine learning models and AI-enabled applications in production environments
Nice To Haves
- Experience with MLOps practices including model monitoring, drift detection, model governance, and automated retraining
- Experience with Databricks, Azure Machine Learning, Snowflake, or similar AI/ML platforms
- Experience developing Generative AI, LLM, NLP, or advanced analytics solutions
- Experience working in healthcare, payer, provider, care management, or regulated environments
- Experience deploying and supporting production AI solutions serving enterprise-scale workloads
Responsibilities
- Design, develop, and deploy AI-powered solutions and machine learning models to address complex business challenges with an emphasis on the responsible use of AI
- Build, optimize, and maintain scalable AI/ML services, applications, and pipelines supporting healthcare operations and business processes
- Leverage enterprise-approved AI tools and technologies to streamline workflows, automate tasks, and drive continuous improvement
- Implement CI/CD practices, automation frameworks, and MLOps to support reliable production deployments and model lifecycle management
- Create new data pipelines and data engineering solutions utilizing structured and unstructured healthcare data to improve model accuracy and operational efficiency
- Monitor, troubleshoot, and optimize machine learning systems running in cloud environments to ensure platform stability, scalability, and security
- Evaluate emerging AI technologies, frameworks, and industry trends to inform solution design, product capabilities, and strategic innovation
- Collaborate with product managers, architects, data scientists, and software engineers to translate business requirements into scalable technical designs
- Mentor junior engineers and contribute to engineering best practices, code reviews, and architecture discussions across teams
Benefits
- a comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
