Senior Distinguished AI Security Engineer

Senior Distinguished AI Security Engineer

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Job Summary

Pepsi Co is a food and beverage company, and they are seeking a highly experienced Distinguished AI Security Engineer to lead the charge in securing their enterprise AI solutions. This role involves defining, architecting, and implementing robust security strategies across the entire AI lifecycle, while also mentoring teams and contributing to AI security research.

Responsibilities

• Develop and champion an AI security roadmap aligning with business objectives.
• Act as the subject matter expert and technical lead for AI security initiatives, guiding cross-functional teams (ML engineers, data scientists, software engineers, Dev Ops, and traditional security teams).
• Conduct in-depth threat modeling and risk assessments specifically tailored to AI/ML systems (e.g., adversarial attacks, data poisoning, model inversion, prompt injection, supply chain attacks on ML pipelines).
• Design, implement, and integrate security controls into AI/ML pipelines, MLOps platforms, and AI-powered applications.
• Evaluate, select, and deploy commercial and open-source security tools and technologies relevant to AI.
• Develop custom security solutions and frameworks where off-the-shelf options are insufficient to address unique AI security challenges.
• Implement and manage security measures for AI data (e.g., secure data storage, access controls, encryption, data lineage, and anomaly detection for data drift).
• Secure model deployment environments, including containerization, serverless functions, and specialized AI inference hardware.
• Stay at the forefront of AI security research, emerging threats, and defensive techniques.
• Proactively research and evaluate new AI security technologies and methodologies.
• Contribute to the broader AI security community through presentations, publications, or open-source contributions, if applicable.
• Mentor and educate engineering teams on secure AI development practices.
• Champion a security-first mindset across the AI development lifecycle.

Qualifications

Required

• Bachelor's degree in Computer Science, Cybersecurity, Artificial Intelligence, Machine Learning, or a related highly technical field.
• 10+ years of progressive experience in cybersecurity, with experience directly focused on securing AI/ML systems and MLOps pipelines in an enterprise environment.
• Extensive experience with cloud security principles and practices (AWS, Azure, GCP).
• Hands-on experience with a wide range of security tools and technologies, including but not limited to SIEM, SOAR, EDR, network security, application security, and specifically AI/ML security toolkits.
• Demonstrable experience with threat modeling frameworks (e.g., STRIDE, MITRE ATT&CK for ML) and conducting comprehensive risk assessments for AI.
• Strong programming skills in Python, with experience in developing secure code and security automation.
• Expertise in secure software development life cycles (SSDLC) and Dev Sec Ops principles.
• Experience with containerization technologies (Docker, Kubernetes) and securing containerized environments.
• Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.
• Strong leadership capabilities with the ability to influence and drive change.
• Self-motivated, proactive, and capable of working independently as well as collaboratively in a fast-paced environment.

Preferred

• Master's or Ph.D. in Computer Science, Cybersecurity, Artificial Intelligence, Machine Learning, or a related highly technical field.

Company

Pepsi Co is a food and beverage company. Founded in 1898, the company is headquartered…