Sr AI/ML Engineer - Remote
About The Position
As a Sr AI/ML Engineer within Optum, you will join an engineering team focused on improving healthcare delivery and operational efficiency through machine learning and artificial intelligence. You will design, build, and operationalize enterprise-scale AI solutions, models, and intelligent workflows for complex business and healthcare challenges. You will work with cross-functional technical teams and use modern cloud infrastructure and MLOps practices to deploy reliable, high-impact, responsible AI systems at scale. The role is remote within the U.S. For hires in the Minneapolis or Washington, D.C. area, a minimum of four days per week in the office is required. Remote employees must follow UnitedHealth Group’s Telecommuter Policy. The position offers an annual salary range of $120,100–$214,500 based on full-time employment. The employer also offers a comprehensive benefits package, incentive and recognition programs, an equity stock purchase plan, and a 401(k) contribution, subject to eligibility requirements.
Requirements
- At least 5 years of professional software engineering or data/machine learning engineering experience delivering production-grade systems.
- At least 3 years of experience with modern programming languages, preferably Java, Python, or Angular.
- At least 2 years of experience with cloud platform technologies such as AWS or Azure.
- At least 2 years of experience working in an Agile development team environment.
- At least 2 years of experience with relational or non-relational databases.
- Experience designing or integrating AI-powered capabilities, developer assistants such as Codex, or agentic models such as Claude.
Nice To Haves
- Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
- Experience with generative AI technologies, large language models, prompt engineering, or vector databases such as LangChain, LlamaIndex, or Pinecone.
- Familiarity with containerization and orchestration technologies such as Docker or Kubernetes.
- Experience with healthcare data standards such as FHIR or HL7, or regulated compliance frameworks such as HIPAA.
Responsibilities
- Design, develop, and deploy AI-powered solutions for complex business challenges, emphasizing responsible technology use.
- Use enterprise-approved AI tools and developer assistants to streamline workflows, automate repetitive tasks, and drive continuous improvement.
- Evaluate emerging trends, frameworks, and tools to inform software solution design and strategic innovation.
- Collaborate with engineering, product, and business partners to build scalable, high-performance applications.
- Adapt to changes in technology and integrate modern developer tools and agentic capabilities into engineering practices.
- Lead and participate in architecture design reviews, system planning, and security evaluations.
- Mentor and provide technical guidance to associate and junior software engineers, supporting a collaborative and inclusive learning environment.
- Troubleshoot, debug, and optimize complex software systems across multiple environments.
Benefits
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase plan
- 401(k) contribution
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
