Senior AI/ML Engineer

Primary Responsibilities:

• 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
• Incident Response: Be part of investigations into AI-related security incidents and develop mitigation strategies and post-mortem analyses
• 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 regard 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:

• Bachelor degree in Computer Science, Machine Learning, Cybersecurity, or a related field.
• 6+ years of experience in cybersecurity, red teaming, and/or adversarial testing
• 2+ years of experience with generative AI systems (e.g., LLMs, agents) and their unique threat surfaces.
• Solid communication skills with the ability to influence executive stakeholders and translate technical findings into business impact.