Director Of AI Security - Remote - Remote Eligible

Director of AI Security

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.

As the Director of AI Security, you will lead a multidisciplinary team of experts focused on proactively identifying, simulating, and mitigating threats to AI systems across UHG. You will shape the strategy for adversarial and non-adversarial testing of LLM models, ensuring their robustness, fairness, and security. This role requires a unique blend of deep technical expertise, leadership acumen, and a forward-looking mindset to anticipate emerging risks in AI technologies.

You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

• Strategic Leadership: Define and execute the vision and roadmap for AI red teaming initiatives across the enterprise
• Team Management: Build, mentor, and lead a high-performing team of AI red teamers, adversarial ML researchers, and security engineers
• Threat Simulation: Oversee the design and execution of red teaming exercises targeting AI systems
• Cross-Functional Collaboration: Partner with AI/ML engineering, enterprise cybersecurity, product, legal, and compliance teams to embed red teaming insights into model development and deployment lifecycles
• Governance & Compliance: Ensure alignment with internal policies for Responsible use of AI
• Innovation & Research: Stay ahead of the curve on adversarial ML, model exploitation techniques, and AI safety research; foster a culture of continuous learning and innovation.
• Incident Response: Lead investigations into AI-related security incidents and develop mitigation strategies and post-mortem analyses

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

• Advanced degree (MS or PhD) in Computer Science, Machine Learning, Cybersecurity, or a related field
• 10+ years of experience in Machine Learning
• 6+ years of experience in cybersecurity, red teaming, or adversarial testing
• 6+ years of leadership experience managing technical teams and cross-functional initiatives
• 3+ years of experience with generative AI systems (e.g., LLMs, agents) and their unique threat surfaces
• Proven solid communication skills with the ability to influence executive stakeholders and translate technical findings into business impact

Preferred Qualifications:

• Experience working in regulated industries (e.g., finance, healthcare, defense) with AI governance requirements
• Knowledge of secure model deployment practices in cloud and edge environments
• Familiarity with AI safety, fairness, and interpretability frameworks
• Contributions to open-source tools, academic research, or AI security communities

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $132,200 to $226,600 annually based on full-time employment. We comply with all minimum wage laws as applicable.

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.