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UnitedHealth Group·Eden Prairie, MN

Senior AI/ML Engineer - Remote

Support StaffPosted Jul 9Job 97570837536
✓Requirements
Certifications
Professional certification or training in cloud-based AI platforms (e.g., Azure ML, Databricks) preferred
Education
✓Bachelor's degree in Computer Science or related field, or 4+ years of equivalent experience
Master's degree in Computer Science, Engineering, Data Science, or a related field preferred
Qualifications
✓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
✓All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Experience in healthcare domain and claims automation preferred
Experience with Agentic AI implementations in enterprise operations preferred
Familiarity with Facets or similar healthcare payer platforms preferred
Proven solid ownership, curiosity, adaptability, and learning agility, with the ability to navigate ambiguity and deliver impactful technical solutions preferred
We comply with all minimum wage laws as applicable. preferred
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. preferred
+Benefits
✓401(k)
Pay for this position
Employer-posted
$120k – $215k/yr
Apply to UnitedHealth Group ↗
Questions about pay or the unit? Ask a Waypoint recruiter.
✓You’ll need
Certifications
Professional certification or training in cloud-based AI platforms (e.g., Azure ML, Databricks) preferred
Education
✓Bachelor's degree in Computer Science or related field, or 4+ years of equivalent experience
Master's degree in Computer Science, Engineering, Data Science, or a related field preferred
Qualifications
✓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
✓All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Experience in healthcare domain and claims automation preferred
Experience with Agentic AI implementations in enterprise operations preferred
Familiarity with Facets or similar healthcare payer platforms preferred
Proven solid ownership, curiosity, adaptability, and learning agility, with the ability to navigate ambiguity and deliver impactful technical solutions preferred
We comply with all minimum wage laws as applicable. preferred
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. preferred
+Benefits
401(k)

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About the role

As a Senior AI/ML Engineer within the Optum Health & Financial Tech team, you will design, build, and deploy production-grade AI and machine learning solutions that revolutionize healthcare payer and financial operations. You will focus on high-impact areas such as Claims Processing Automation, Eligibility Verification, Prior Authorization, and Payment Integrity.