AI/ML Security Leader

Introduction to role:

We are seeking a visionary and expert AI/ML Security Leader to own the development of a comprehensive security model for the adoption of AI/ML technologies, models, and risk reduction. In this critical role, you will design, implement, and continually refine the security posture of AI systems, focusing on securing both internally developed and partner-provided SaaS platforms. You will investigate emerging security threats to AI/ML models and data, develop new tools and techniques to address these threats, and ensure the smooth integration of AI capabilities with a focus on Security, Trust, and Privacy. As an AI/ML Security Leader, you will collaborate with multi-functional teams, including product, engineering, and data science, to ensure that AI and machine learning systems are robust, resilient, and secure. This role requires deep technical expertise in AI/ML security, a proactive approach to identifying and mitigating potential threats, and the ability to lead and guide teams in developing security solutions.

Accountabilities:

• AI/ML Security Strategy & Leadership:

Develop and lead the execution of a comprehensive AI/ML security strategy across the organization. Create long-term roadmaps and architecture designs to secure both internally developed AI models and partner-provided AI SaaS solutions.

• Threat Research & Mitigation:

Investigate and stay ahead of new and emerging threats to AI and ML systems, including adversarial attacks, model poisoning, data manipulation, privacy risks, and intellectual property theft. Evaluate and implement countermeasures to ensure the resilience and security of AI models.

• Security Architecture & Best Practices:

Design and implement secure AI system architectures, providing guidelines, frameworks, and tools to integrate security into AI/ML pipelines. Establish security standards, policies, and protocols for the development, deployment, and monitoring of AI solutions.

• AI/ML Model Protection & Privacy:

Develop and implement techniques to safeguard AI/ML models and data, such as model verification, robustness testing, data integrity checks, and privacy-preserving methods (e.g., differential privacy, federated learning).

• Security Tools and Processes Development:

Lead efforts to create and refine security tools, frameworks, and processes that can effectively secure AI systems at scale. Work to automate security measures across the AI lifecycle, including model training, deployment, and monitoring.

• Multi-functional Collaboration:

Work closely with data scientists, AI researchers, product teams, and security experts to ensure seamless integration of AI capabilities while maintaining a strong security posture. Provide guidance and consultation on securing AI solutions from the early stages of design to production.

• Security Testing & Validation:

Oversee and lead AI security testing activities such as penetration testing, vulnerability assessments, and adversarial testing to validate the robustness and security of AI systems. Develop testing frameworks specific to AI/ML systems.

• Incident Response & Risk Management:

Establish and lead the AI/ML incident response processes, ensuring rapid identification, containment, and resolution of any AI-specific security incidents. Monitor AI systems for signs of emerging threats and continuously improve risk management processes.

• AI Governance & Compliance:

Ensure AI/ML systems align with relevant regulations, industry standards, and ethical guidelines, such as GDPR, CCPA, ISO 27001, and others. Ensure transparency, accountability, and fairness in AI model behavior and decision-making.

• Team Leadership & Mentorship:

Lead a team of AI/ML security engineers, providing mentorship and guidance. Foster a collaborative and innovative environment to grow security expertise within the team and across the organization.

Crucial Skills/Experience:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Cybersecurity, or a related technical field (or equivalent experience).
• demonstrated ability in cybersecurity or a related field, focused on AI/ML security.
• expertise in AI/ML security concepts, including adversarial machine learning, model integrity, privacy preservation, and AI-specific threat landscapes.
• Solid understanding of secure AI development practices, risk management, and compliance related to AI/ML models, including techniques for model robustness and protecting data privacy.
• Hands-on experience with AI/ML security tools, techniques, and frameworks such as adversarial testing, secure model training, and privacy-preserving methods like federated learning and differential privacy.
• Experience with common AI/ML technologies, frameworks, and platforms (e.g., TensorFlow, PyTorch, Keras), and understanding of cloud-native AI security challenges.
• Experience with security architecture design and standard methodologies, particularly as applied to SaaS, AI, and ML platforms.
• Deep knowledge of cybersecurity concepts such as identity management, encryption, secure communication, and access control within AI/ML systems.
• Strong problem-solving, analytical, and technical communication skills, with the ability to explain sophisticated security concepts to non-technical partners.

Desirable Skills/Experience:

• Industry certifications such as CISSP, CISM, CEH, or specialized AI/ML security certifications.
• Familiarity with ethical AI, explainability, and transparency in AI models.
• Proficiency in security platforms and vulnerability management tools with practical experience.
• Knowledge of regulations and frameworks surrounding AI and data privacy (e.g., GDPR, NIST AI risk management framework).
• Experience working in cloud environments (AWS, Azure, Google Cloud) and understanding of the unique security challenges for AI/ML in the cloud.
• Knowledge of AI research and emerging trends in security-related to machine learning and deep learning.

When we put unexpected teams in the same room, we fuel ambitious thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work on average a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and daring world.

Working in Technology here means you'll be a self-starter who is comfortable stepping up and taking ownership. You'll be empowered to orchestrate new possibilities, solve challenges and continuously innovate. Here you'll join hackathons, work with large data sets and challenge yourself to push new boundaries.

Ready to make an impact? Apply now!

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