Lead AI ML Engineer

Caring. Connecting. Growing Together.

You will be part of a multidisciplinary team of experts focused on proactively identifying, simulating, and mitigating threats to AI systems across UHG. You will be contributing to strengthen 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 and a forward-looking mindset to anticipate emerging risks in AI technologies.

Primary Responsibilities:

1. Threat Simulation: Build and execute red teaming exercises targeting AI systems
2. 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
3. Governance and Compliance: Ensure alignment with internal policies for Responsible use of AI
4. Innovation and Research: Stay ahead of the curve on adversarial ML, model exploitation techniques, and AI safety research; foster a culture of continuous learning and innovation
5. Incident Response: Lead investigations into AI-related security incidents and develop mitigation strategies and post-mortem analyses
6. Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications

• Advanced degree (MS or PhD) in Computer Science, Machine Learning, Cybersecurity, or a related field.
• 8+ years of experience in Machine Learning
• 4+ years of experience in cybersecurity, red teaming, or adversarial testing
• 3+ years of experience with generative AI systems (e.g., LLMs, agents) and their unique threat surfaces.

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
• Demonstrated contributions to open-source tools, academic research, or AI security communities
• Proven solid communication skills with the ability to influence executive stakeholders and translate technical findings into business impact