[Remote] Senior AI/ML Engineer

Note: The job is a remote job and is open to candidates in USA. Optum is hiring a Senior AI/ML Engineer within Optum Technology to design and deliver enterprise-scale AI solutions, platforms, and automations that transform healthcare delivery and operations. The role builds and deploys scalable AI/ML models, data pipelines, and production architectures, while advancing responsible AI practices and collaborating across technical and product teams.

Responsibilities

• Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible use of AI
• Design, develop, and deploy scalable artificial intelligence and machine learning models into cloud-based production environments
• Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
• Evaluate emerging trends in artificial intelligence and machine learning to inform solution design and strategic innovation
• Build, optimize, and maintain robust data pipelines and ML architectures for training, evaluation, and real-time inference
• Collaborate with data scientists, software engineers, and product managers to translate healthcare business requirements into technical AI/ML architecture
• Monitor, evaluate, and fine-tune model performance, latency, and accuracy in production environments
• Establish best practices for MLOps, including automated testing, model monitoring, version control, and continuous integration/continuous deployment (CI/CD)
• Conduct code reviews, mentor technical team members, and drive engineering excellence across the team

Skills

• 8+ years of overall Software engineering experience
• 3+ years of experience with a focus on designing, building, and deploying AI/ML models into enterprise production environments
• 3+ years of experience leveraging AI engineering tools and frameworks (e.g., TensorFlow, PyTorch, or scikit-learn) to build automated solutions
• 3+ years of programming experience in Python and utilizing modern cloud platforms (e.g., AWS, Azure, or GCP) for machine learning development
• 3+ years of experience building and optimizing data pipelines and database architectures (e.g., SQL, Spark, Kafka
• 2+ years of experience with containerization, orchestration, and MLOps tools (e.g., Docker, Kubernetes, MLflow, Kubeflow, or Airflow)
• Bachelors or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field
• Experience with Generative AI frameworks, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) architectures
• Experience building AI solutions within healthcare, including working with healthcare data standards (e.g., FHIR, HL7) and privacy/security guidelines
• Demonstrated experience mentoring technical team members and evaluating emerging technology trends for enterprise integration

Benefits

• Flexibility to telecommute from anywhere within the U.S.
• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution

Company Overview

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