hackajob is collaborating with UnitedHealth Group to connect them with exceptional professionals for this role.

Threat Simulation: Build and execute 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.

Qualifications

Required Qualifications:

Advanced degree (MS or PhD) in Computer Science, Machine Learning, Cybersecurity, or a related field

8+ years of experience in Machine Learning and AI

3+ years of experience with generative AI systems (e.g., LLMs, agents) and their unique threat surfaces

Preferred Qualifications

Proven experience in cybersecurity, red teaming, or adversarial and non adversarial testing

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

Proven solid communication skills with the ability to influence executive stakeholders and translate technical findings into business impact

Contributions to open-source tools, academic research, or AI security communities