Note: The job is a remote job and is open to candidates in USA. UnitedHealth Group, through Optum, delivers technology-enabled healthcare services that help millions of people live healthier lives. The Senior AI/ML Engineer will design, build, and deploy production-grade AI and machine learning solutions for claims processing, eligibility verification, prior authorization, and payment integrity while developing scalable data pipelines, monitoring models, and ensuring responsible, HIPAA-compliant AI implementation.
Responsibilities
- Design, develop, and deploy production-grade AI-powered solutions and machine learning models to address complex business challenges in claims processing, eligibility, and payment integrity, emphasizing the responsible use of AI
- Use enterprise-approved AI tools to streamline operational workflows, automate repetitive tasks, and drive continuous improvement across payer and financial systems
- Evaluate emerging trends, such as Agentic AI, GenAI, and automation frameworks, to inform solution design and strategic innovation
- Build and optimize scalable data pipelines for real-time and batch processing, integrating AI models with core platforms and systems (e.g., Facets, claims engines)
- Create AI-driven automation solutions to automate repetitive workflows and support touchless claims and eligibility processing
- Partner with cross-functional teams to define scope, success criteria, and delivery milestones, then execute with solid engineering rigor through CI/CD, environment readiness, and quality gates to deliver on schedule without compromising reliability or maintainability
- Monitor, validate, and retrain AI/ML models in production to track accuracy, mitigate drift, and optimize performance metrics (such as cost reduction, cycle time, and quality)
- Ensure HIPAA-compliant design, PHI-safe pipelines, and align all AI solutions with Responsible AI governance and auditability standards
- Partner closely with operations, product, and compliance teams to translate payer business requirements into measurable AI solutions and communicate outcomes
Skills
- Bachelor's degree in Computer Science or related field, or 4+ years of equivalent experience
- 6+ years of experience in software engineering, data engineering, or AI/ML, with a proven track record of deploying production-grade AI/ML solutions
- 3+ years of experience working with healthcare data, claims processing, eligibility, and workflows
- 3+ years of hands-on experience in modern cloud infrastructure (Azure or Google GCP)
- 3+ years of hands-on experience building, training, evaluating, and deploying ML, AI, LLM, or agentic AI solutions in production environments
- 2+ years of experience building cloud-based applications, backend services, APIs, or CI/CD pipelines using Azure or GCP
- Experience implementing model monitoring, validation, and performance tracking in a production environment
- Proficiency in Python and experience with distributed data processing frameworks
- Master's degree in Computer Science, Engineering, Data Science, or a related field
- Professional certification or training in cloud-based AI platforms (e.g., Azure ML, Databricks)
- Experience in healthcare domain and claims automation
- Experience with Agentic AI implementations in enterprise operations
- Familiarity with Facets or similar healthcare payer platforms
- Proven solid ownership, curiosity, adaptability, and learning agility, with the ability to navigate ambiguity and deliver impactful technical solutions
Benefits
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
- Remote work from anywhere within the U.S. for eligible employees
- Career development opportunities
Company Overview