PepsiCo
Overview:
We are on the lookout for an exceptional and seasoned Senior AI Security Architect to spearhead our efforts in securing enterprise AI solutions. In this pivotal role, you will define, architect, and implement comprehensive security strategies throughout the AI lifecycle—from data ingestion and model training to deployment and inference. This is a hands-on leadership position for someone with a thorough understanding of the distinctive attack surface of AI systems, along with the expertise to proactively decrease risks, develop innovative security controls, and promote a secure-by-design philosophy for our AI projects. You will play a crucial role in evaluating, selecting, deploying, and, if necessary, creating cutting-edge technologies to protect our AI assets, ensuring the integrity, confidentiality, and availability of our intelligent systems. Responsibilities: Strategic AI Security Leadership:
Formulate and advocate an AI security roadmap that aligns with business objectives. Act as the authority and technical lead for AI security initiatives, guiding cross-functional teams, including ML engineers, data scientists, software engineers, and traditional security teams. AI Security Architecture & Implementation:
Design, implement, and merge security controls into AI/ML pipelines, MLOps platforms, and AI-powered applications. Assess, select, and deploy both commercial and open-source security tools pertinent to AI. Develop custom security solutions and frameworks where standard options fall short of addressing unique AI security challenges. Implement and manage security measures for AI data, ensuring secure data storage, appropriate access controls, encryption, data lineage, and anomaly detection for data drift. Secure model deployment environments, including containerization, serverless functions, and specialized AI inference hardware. Research & Development:
Keep up with the latest AI security research, emerging threats, and defense techniques. Actively research and assess new AI security technologies and methodologies, contributing to the wider AI security community through presentations, publications, or open-source contributions when relevant. Mentorship & Evangelism:
Guide and educate engineering teams on secure AI development practices. Foster a security-first mindset throughout the AI development lifecycle. Compensation and Benefits: The expected compensation range for this position is between $118,700 - $198,800. The actual starting salary will consider location, confirmed job-related skills, experience, and education. Potential bonuses based on performance and eligibility are targeted at 15% of annual salary, paid out annually. Paid time off is subject to eligibility, including paid parental leave, vacation, sick leave, and bereavement. Beyond salary, our company offers a comprehensive benefits package to support employees and their families, including medical, dental, vision, disability, health and dependent care reimbursement accounts, an employee assistance program, insurance (accident, group legal, life), and a defined contribution retirement plan. Qualifications: Bachelor's degree in Computer Science, Cybersecurity, Artificial Intelligence, Machine Learning, or a related technical field (Master's or Ph.D. preferred). 10+ years of progressive experience in cybersecurity, with specific focus on securing AI/ML systems and MLOps pipelines in a corporate environment. Extensive experience with cloud security principles and practices (AWS, Azure, GCP). Hands-on experience with various security tools and technologies, including SIEM, SOAR, EDR, network security, application security, and specifically AI/ML security toolkits. Proven experience with threat modeling frameworks (e.g., STRIDE, MITRE ATT&CK for ML) and conducting thorough risk assessments for AI. Strong programming capabilities in Python, including secure code development and security automation. Expertise in secure software development lifecycles (SSDLC) and DevSecOps principles. Experience with containerization technologies (Docker, Kubernetes) and securing containerized environments. Exceptional communication skills, with the ability to convey complex technical concepts clearly to both technical and non-technical audiences. Strong leadership skills with the ability to influence and implement change. Self-motivated and proactive, capable of working independently and collaboratively in a fast-paced environment. This company is committed to providing equal opportunities and will consider qualified applicants for employment without regard to protected characteristics. Interested applicants are encouraged to apply and be a part of our innovative team.
We are on the lookout for an exceptional and seasoned Senior AI Security Architect to spearhead our efforts in securing enterprise AI solutions. In this pivotal role, you will define, architect, and implement comprehensive security strategies throughout the AI lifecycle—from data ingestion and model training to deployment and inference. This is a hands-on leadership position for someone with a thorough understanding of the distinctive attack surface of AI systems, along with the expertise to proactively decrease risks, develop innovative security controls, and promote a secure-by-design philosophy for our AI projects. You will play a crucial role in evaluating, selecting, deploying, and, if necessary, creating cutting-edge technologies to protect our AI assets, ensuring the integrity, confidentiality, and availability of our intelligent systems. Responsibilities: Strategic AI Security Leadership:
Formulate and advocate an AI security roadmap that aligns with business objectives. Act as the authority and technical lead for AI security initiatives, guiding cross-functional teams, including ML engineers, data scientists, software engineers, and traditional security teams. AI Security Architecture & Implementation:
Design, implement, and merge security controls into AI/ML pipelines, MLOps platforms, and AI-powered applications. Assess, select, and deploy both commercial and open-source security tools pertinent to AI. Develop custom security solutions and frameworks where standard options fall short of addressing unique AI security challenges. Implement and manage security measures for AI data, ensuring secure data storage, appropriate access controls, encryption, data lineage, and anomaly detection for data drift. Secure model deployment environments, including containerization, serverless functions, and specialized AI inference hardware. Research & Development:
Keep up with the latest AI security research, emerging threats, and defense techniques. Actively research and assess new AI security technologies and methodologies, contributing to the wider AI security community through presentations, publications, or open-source contributions when relevant. Mentorship & Evangelism:
Guide and educate engineering teams on secure AI development practices. Foster a security-first mindset throughout the AI development lifecycle. Compensation and Benefits: The expected compensation range for this position is between $118,700 - $198,800. The actual starting salary will consider location, confirmed job-related skills, experience, and education. Potential bonuses based on performance and eligibility are targeted at 15% of annual salary, paid out annually. Paid time off is subject to eligibility, including paid parental leave, vacation, sick leave, and bereavement. Beyond salary, our company offers a comprehensive benefits package to support employees and their families, including medical, dental, vision, disability, health and dependent care reimbursement accounts, an employee assistance program, insurance (accident, group legal, life), and a defined contribution retirement plan. Qualifications: Bachelor's degree in Computer Science, Cybersecurity, Artificial Intelligence, Machine Learning, or a related technical field (Master's or Ph.D. preferred). 10+ years of progressive experience in cybersecurity, with specific focus on securing AI/ML systems and MLOps pipelines in a corporate environment. Extensive experience with cloud security principles and practices (AWS, Azure, GCP). Hands-on experience with various security tools and technologies, including SIEM, SOAR, EDR, network security, application security, and specifically AI/ML security toolkits. Proven experience with threat modeling frameworks (e.g., STRIDE, MITRE ATT&CK for ML) and conducting thorough risk assessments for AI. Strong programming capabilities in Python, including secure code development and security automation. Expertise in secure software development lifecycles (SSDLC) and DevSecOps principles. Experience with containerization technologies (Docker, Kubernetes) and securing containerized environments. Exceptional communication skills, with the ability to convey complex technical concepts clearly to both technical and non-technical audiences. Strong leadership skills with the ability to influence and implement change. Self-motivated and proactive, capable of working independently and collaboratively in a fast-paced environment. This company is committed to providing equal opportunities and will consider qualified applicants for employment without regard to protected characteristics. Interested applicants are encouraged to apply and be a part of our innovative team.