Sr AI​/ML Engineer - Remote Nationwide or Hybrid in MN​/DC

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.

As a Senior AI/ML Engineer within the Consumer Engineering division of the Chief Digital Office (CDO), you will play a critical role in shaping the future of our digital health platforms. This role is designed for a high-performing engineer with solid software fundamentals and a deep passion for building production-ready, scalable AI services. You will focus on the practical application of Generative AI techniques, designing end-to-end solutions that integrate seamlessly into our enterprise ecosystem.

By leveraging modern data platforms and cloud-native architectures, you will help bridge the gap between complex machine learning research and reliable, consumer-facing applications that improve the lives of those we serve.

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:

* Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on the responsible use of AI

* Design, implement, and optimize AI and machine learning solutions, including statistical models, deep learning, and advanced Generative AI systems

* Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement across the engineering lifecycle

* Build and operate large-scale training and inference pipelines using Databricks, PySpark, and cloud platforms (AWS, Azure, or GCP)

* Apply advanced techniques such as RAG, Lang Chain, and Vector Databases to develop and scale Generative AI solutions

* Execute proof-of-concepts and train models at scale, establishing performance baselines using quantitative evaluation metrics

* Develop REST and FastAPI services, containerize solutions using Docker, and integrate UI tools to deliver seamless AI experiences

* Evaluate emerging trends to inform solution design and lead strategic technical innovation within the team

* Mentor junior engineers and lead design and architecture reviews to ensure high standards for code quality, safety, and reliability

* Ensure solutions meet security, privacy, and regulatory standards, upholding ethical AI principles in every deployment

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

* 5+ years of professional software engineering experience delivering high-quality, production-grade commercial applications

* 3+ years of hands-on experience with Java, Python, and SQL

* 2+ years of AI/ML engineering experience, including deploying models at scale and contributing to technical leadership

* 1+ years of experience with cloud-native architectures (specifically AWS, Azure, or GCP)

* 1+ years of experience with Databricks, PySpark, and data pipeline implementation

* Experience with containerization (Docker) and building/maintaining CI/CD pipelines

Preferred Qualifications:

* Expertise in Generative AI solutions, specifically utilizing RAG, Lang Chain, and Vector Databases

* Experience with big data technologies such as Spark, Hadoop, and Kafka

* Proven solid knowledge of infrastructure as code (Terraform or Cloud Formation)

* Experience with data governance and platform-level controls (e.g., Unity Catalog, Delta Lake)

* Demonstrated solid foundation in data science principles, including statistics, probability theory, and optimization

* All employees working…