Senior AI​/ML Engineer

Improve the lives of others while Caring. Connecting. Growing together.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities.

Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start
Caring. Connecting. Growing together.

Are you passionate about applying AI to solve complex business challenges at enterprise scale? We are seeking a Senior AI/ML Engineer to design, build, and operationalize AI capabilities that drive decision-making, productivity, and innovation across the Enterprise Finance organization. In this role, you will lead the development of AI-powered solutions including large language model (LLM) applications, retrieval-augmented generation (RAG), intelligent agents, classification models, summarization workflows, and decision-support tools.

You will partner closely with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver trusted, scalable, and governed AI solutions that align with enterprise AI/ML engineering practices and productization standards.

You’ll enjoy the flexibility to telecommute
* from anywhere within the U.S. as you take on some tough challenges.

• Design, develop, and deploy AI-powered solutions and architectures—including LLM workflows, prompt orchestration chains, agent-based solutions, RAG applications, and decision-support capabilities—to solve complex business challenges
• Develop advanced prompt strategies, grounding approaches, tool-calling patterns, guardrails, and fallback mechanisms to improve solution quality, safety, and reliability
• Partner with Data Engineering teams to establish and maintain seamless access to trusted, governed, and high-quality enterprise data sources
• Establish robust evaluation frameworks, test datasets, scoring rubrics, and model-performance benchmarks across AI deliverables
• Monitor and optimize output quality, relevance, accuracy, consistency, latency, cost efficiency, and hallucination risk in production systems
• Conduct failure-mode analysis and implement continuous improvements to AI systems and automated workflows
• Collaborate cross-functionally with Quality Engineering, Responsible AI, Security, Privacy, Compliance, and Enterprise Architecture teams
• Document AI solution behaviors, limitations, risk controls, and operational monitoring requirements
• Support production readiness through observability, system monitoring, model evaluation, and drift detection practices
• Evaluate emerging AI trends, methodologies, and enterprise-approved tools to inform solution design, streamline workflows, and drive strategic innovation

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.

• 3+ years of experience in software engineering, machine learning, or AI engineering
• 2+ years of experience with cloud-native architectures, APIs, and scalable software systems
• 1+ years of hands‑on experience building and deploying generative AI and LLM-based applications in production environments

• Master’s degree in Computer Science, Engineering, Data Science, or a related field
• Experience supporting Finance, FP&A, Accounting, Treasury,…