[Remote] AI/ML Engineer

Note: The job is a remote job and is open to candidates in USA. Optum is a global organization that delivers care aided by technology to help millions of people live healthier lives. The AI/ML Engineer will own and advance the intelligence layer of consumer-facing solutions by designing, deploying, evaluating, and continuously improving AI components such as LLM workflows, RAG pipelines, agents, classifiers, and evaluation frameworks. The role also focuses on responsible AI, data governance, production monitoring, and enterprise readiness.

Responsibilities

• Design, develop, and deploy AI-powered solutions, LLM workflows, prompt chains, agents, RAG patterns, model integrations, classification models, and decision-support tools to address complex business challenges
• Develop prompt strategies, tool-calling patterns, grounding techniques, guardrails, and fallback behaviors with an emphasis on responsible AI practices
• Partner with Data Engineering to ensure AI components have access to trusted, appropriate, and governed data sources
• Build and maintain evaluation datasets, scoring rubrics, model-performance tests, and failure-mode analysis tools
• Monitor and continuously improve output quality, hallucination risk, relevance, accuracy, consistency, latency, and operational cost in production environments
• Partner with Quality Assurance, Responsible AI, Security, Privacy, Compliance, and Architecture teams to ensure AI solutions are safe and enterprise-ready
• Document model behavior, known limitations, risk controls, and operational monitoring needs, while supporting production readiness, model observability, and drift monitoring
• Evaluate emerging trends and leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous strategic innovation

Skills

• 3+ years of engineering experience with strong technical proficiency in Python or equivalent programming language
• 1+ years of experience building and deploying AI-enabled applications in enterprise settings, including hands-on experience with LLMs, RAG, embeddings, vector search, prompt engineering, and agent frameworks
• 1+ years of experience working with model APIs, orchestration frameworks, data pipelines, and evaluation tooling
• Bachelor's or Master's degree in Data Science, Computer Science, Machine Learning, or related technical discipline
• Proven ability to design AI workflows that are explainable, testable, governable, and safe
• Solid understanding of model limitations, hallucination risks, bias/fairness concerns, and responsible AI frameworks
• Strong background in Data Science, Machine Learning Engineering, Applied Science, or Full-Stack Engineering with AI specialization
• Practical experience with statistical modeling, data analysis, controlled testing, model evaluation frameworks, and production AI monitoring tools
• Proven experience scaling LLM applications and data science solutions within large enterprise environments

Benefits

• Flexibility to telecommute from anywhere within the U.S.
• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution
• Career development opportunities
• Development for other roles you may be interested in

Company Overview

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