AI/ ML Engineer - On site MN

UnitedHealth Group•Plymouth, MN

13h•Onsite

About The Position

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, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. The GenAI Security Program is dedicated to safeguarding data, mitigating risks, and promoting responsible AI usage across the enterprise. Our mission is to empower innovation through Generative AI while maintaining the highest standards of security, privacy, compliance, and ethical conduct. We ensure the secure deployment of Generative AI technologies by aligning with established security policies, regulatory requirements, and industry best practices. The program provides governance, oversight, and technical controls to support safe and effective AI adoption throughout the organization. To ensure the security and integrity of our company's data, employees must use only company-approved internet AI tools/service/models for evaluation or testing.

Requirements

3+ years of experience delivering statistical models, machine learning (ML), or artificial intelligence (AI) solutions in a large organization
3+ years of real-world data science experience in or supporting a large organization
3+ years of real-world data engineering experience
Experience with Generative AI (GenAI)
Knowledge of adversarial AI threats, including model inversion, data poisoning, and secure model lifecycle management
Fluency in Python and SQL
Proven ability to stay current with emerging threats and evolving AI technologies
Security Analyst Foundation
Proven experience in cybersecurity, including threat detection, incident response, and vulnerability management
Familiarity with frameworks like NIST AI RMF, OWASP AI Security, and MITRE ATLAS
Certifications such as CISSP, CISA, or the new ISC2 Cybersecurity AI Certificate are highly recommended
AI & Machine Learning Expertise
Understanding of supervised, unsupervised, and reinforcement learning models
Experience with tools like TensorFlow, PyTorch, HuggingFace Transformers, and scikit-learn
Ability to assess AI model risks, bias, and explainability (XAI)
AI Security Specialization
Knowledge of adversarial AI threats, model inversion, data poisoning, and secure model lifecycle management
Familiarity with AI-specific security tools and workflows (e.g., AI UEBA, threat triage bots, Graph API consent automation)
Experience in red teaming and vulnerability testing for AI systems
Fast Learning & Adaptability
Ability to stay current with emerging threats and evolving AI technologies
Participation in ongoing training programs like the ESRO AI Security curriculum and AI persona development tracks
Communication & Collaboration
Solid written and verbal communication skills to articulate risks, mitigation strategies, and technical concepts to diverse stakeholders
Experience contributing to governance frameworks, OKRs, and cross-functional working sessions

Nice To Haves

Experience in the cybersecurity domain, ideally as a Security Operations Center (SOC) analyst
Familiarity with frameworks such as NIST AI Risk Management Framework (RMF), OWASP AI Security, or MITRE ATLAS
Customer-facing experience
Broad knowledge of information technology, including hardware, networking, architecture, protocols, file systems, and operating systems
Proficiency in data querying and reporting
Proven solid written and verbal communication skills to clearly articulate risks, mitigation strategies, and technical concepts to diverse stakeholders

Responsibilities

Process secure access requests and ServiceNow tickets with accuracy and adherence to SLAs
Host regular office hours to assist internal customers and respond to general inquiries
Maintain, update, and organize documentation to ensure consistency and compliance with internal standards
Create and manage change requests, ensuring correct configuration details, especially for proxy-related changes
Meet with customers to clearly communicate program policies, processes, and expectations
Coordinate with technical teams to ensure seamless execution of change requests and incident resolutions
Maintain awareness of access management and security governance requirements
Ensure change requests are properly categorized and documented for audit readiness