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# Senior AI/ML Engineer Office Based

- **Company:** Optum, Inc
- **Location:** Eden Prairie, MN, United States
- **Experience:** Expert
- **Salary:** $120,100.0 - $214,500.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Continuous Integration, Information Engineering, Data Structures, Python (Programming Language), Microsoft Office, Tensorflow, Search Technologies, Software Construction, Software Deployment, Software Engineering, SQL Databases, Data Processing, Enterprise Software Applications, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Apache Spark, Generative AI, Agentic-AI, Git, Containerization, Pyspark, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations, Software Version Control, Docker, Databricks, Microservices
- **Published:** October 28, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a41611692d5d7ef6

## About the Role

* Bachelor's degree or equivalent experience
 * 7+ years of software engineering or data engineering experience
 * 3+ years focused specifically on AI/ML solution engineering and operational deployment
 * 3+ years of experience with Python, SQL, data structures, algorithms, and enterprise software engineering practices
 * 3+ years of hands-on experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow
 * 3+ years of experience building scalable data processing solutions using Databricks, Spark, or PySpark on cloud platforms (Azure, AWS, or GCP)
 * 3+ years of hands-on MLOps experience, including model versioning, CI/CD pipelines, automated testing, production monitoring, drift management, and observability
 * 3+ years of experience building and deploying APIs, microservices, containerized applications (Docker, Kubernetes), and Git version control practices
 * 2+ years of hands-on experience developing Generative AI and LLM solutions, including RAG (Retrieval-Augmented Generation), embeddings, vector search, prompt engineering, and agentic workflows, * Master's degree in Computer Science, Data Science, AI/ML, Engineering, Statistics, Mathematics, or a related field
 * Demonstrated experience taking ML/AI solutions from prototype through production deployment and operational support at enterprise scale
 * Experience establishing reusable engineering patterns and development standards across cross-functional tech teams
 * Proven ability to evaluate technical trade-offs around model quality, scalability, cost, security, and maintainability in cloud-native environments

## Description

* Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible use of AI
 * Leverage enterprise-approved AI tools and software engineering best practices to streamline workflows, automate tasks, and drive continuous improvement
 * Evaluate emerging technology trends to inform solution design, architectural strategy, and continuous innovation across enterprise platforms
 * Independently design end-to-end AI/ML architectures, translating ambiguous business problems into scalable, production-ready AI use cases
 * Implement robust MLOps practices, CI/CD pipelines, and automated testing for model versioning, deployment, monitoring, drift management, and observability
 * Establish reusable engineering patterns, architectural standards, and development workflows to accelerate enterprise-scale AI adoption
 * Make technical trade-offs around model quality, scalability, performance, cost, security, and maintainability across cloud and containerized environments
 * Lead technical design reviews and mentor engineers while partnering effectively with data scientists, data engineers, product teams, security, and operations

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.