Remote AI/ML Engineer: Enterprise AI & LLM

Latitude; Eden Prairie (MN); Remote; USD 99,000 - 176,000; Full time

Benefits offered by this job

Comprehensive benefits

Equity stock purchase program

401k contribution

Job summary

Optum is seeking an AI/ML Engineer to design, build, and operationalize AI capabilities for the Enterprise Finance organization. You will lead development of LLM workflows, RAG, intelligent agents, and decision-support tools with governance and security in mind.

You will have flexibility to work remotely from anywhere in the United States, collaborating with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver scalable AI solutions that align with enterprise

Qualifications

• 2+ years of software engineering, machine learning, or AI engineering experience.
• 1+ years of cloud-native architecture, APIs, and scalable software systems.
• Experience with responsible AI, security, privacy, or compliance practices.

Responsibilities

• Design, develop, and deploy AI-powered solutions and architectures for enterprise needs.
• Develop prompt strategies, grounding approaches, tool-calling patterns, guardrails.
• Collaborate with data engineering to ensure trusted enterprise data sources.
• Establish evaluation frameworks, datasets, and model performance benchmarks.
• Monitor output quality, latency, cost, and hallucination risk in production.
• Document behavior, controls, and monitoring requirements for AI systems.

Skills

Software engineering

Machine learning

AI engineering

Cloud-native architecture

APIs

Scalable systems

Education

Master's degree in Computer Science, Engineering, Data Science, or related field

Job description

Optum is seeking an AI/ML Engineer to design, build, and operationalize AI capabilities for the Enterprise Finance organization. You will lead development of LLM workflows, RAG, intelligent agents, and decision-support tools with governance and security in mind.

You will have flexibility to work remotely from anywhere in the United States, collaborating with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver scalable AI solutions that align with enterprise