Note: The job is a remote job and is open to candidates in USA. Optum Insight improves the flow of health data and information to create a more connected healthcare system. The AI/ML Engineer will design, develop, and deploy AI-powered solutions, digital workers, and intelligent automation capabilities while partnering with cross-functional teams to scale emerging AI technologies and establish engineering best practices, governance standards, and responsible AI controls.
Responsibilities
- Design, develop, and deploy AI-powered solutions, digital workers, and intelligent automation capabilities that drive measurable business outcomes and operational efficiency
- Rapidly prototype, validate, and scale emerging AI technologies (Generative AI, Agentic AI, automation, orchestration, and analytics) to address enterprise transformation opportunities
- Partner with business, architecture, engineering, and operations teams to identify high-value use cases and translate them into production-ready AI solutions
- Establish and promote AI engineering best practices, reusable frameworks, governance standards, and responsible AI controls to accelerate enterprise adoption
- Evaluate disruptive technologies, drive innovation pilots, and builde strategic capabilities that position the organization for future-state digital operations
Skills
- • Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related technical discipline
- • 5+ years of experience in software engineering. Proven track record developing APIs, microservices, cloud-native architectures, CI/CD pipelines, DevSecOps, and observability
- • 5+ years working on teams using agile and lean coding methodologies, such as pair or mob programming
- • 3+ years of experience building solutions on a Python stack. Hands-on experience with core AI capabilities, such as generative AI, agentic AI, LLMs, vector databases, embeddings, semantic search, and knowledge retrieval
- • 2+ years experience integrating AI solutions with enterprise platforms, business workflows, data platforms, and operational systems to deliver measurable business outcomes
- • Strong communication skills for cross-functional collaboration and stakeholder interactions
- • Familiarity with MLOps tools and workflows for monitoring prediction accuracy, detecting feature drift, and assessing ongoing model fit and/or degradation
Benefits
- Flexibility to telecommute from anywhere within the U.S.
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
Company Overview
Company H1B Sponsorship