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# Sr AI/ML Engineer Remote Nationwide or Office-Based in MN/DC

- **Company:** Unitedhealth Group Inc
- **Location:** Tempe, AZ, United States (Remote available)
- **Experience:** Expert
- **Salary:** $120,100 - $214,500
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Software as a Service, Code Review, Continuous Delivery, Continuous Integration, Data Systems, Distributed Systems, Monitoring of Systems, Python (Programming Language), Machine Learning, Microsoft Office, Natural Language Processing, Azure Machine Learning, Software Construction, Software Deployment, Software Engineering, SQL Databases, Data Processing, Google Cloud, Cloud Platform System, Large Language Models, Snowflake, Generative AI, Pyspark, Machine Learning Operations, Drift Detection, Data Pipelines, Databricks
- **Published:** November 12, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3514763013&tx=JL1913FFK&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

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., * 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, * 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

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.

## Description

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., * 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

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.