About the Role
Bunge has an exciting opportunity available for an AI Security Engineer. In this role you will be part of a global team working on challenging, meaningful projects impacting core business activities. Since 1818, Bunge has been connecting farmers to consumers to deliver essential food, feed, and fuel to the world. Looking to the future, our ambition is to continuously reinvent ourselves, leveraging data to be at the forefront of analytics, technology and talent to accomplish our purpose in a better, faster and simpler way.
Responsibilities
•Lead and manage significant operational plans and large-scale AI security projects and initiatives with substantial independence, contributing to their successful execution and strategic alignment, including playing a key role in developing and enforcing AI usage guardrails.
•Provide leadership and guidance to a team of AI security professionals and support staff, supporting their growth and ensuring their effective contribution to securing AI systems.
•Hold accountability for the successful results of large and/or moderately complex AI security projects, ensuring objectives are met within established parameters, and actively contributing to the readiness of Bunge's IT platforms for future AI integration.
•Contribute valuable input on resource planning and the development of security policies specifically tailored for AI/ML systems, ensuring these policies incorporate the established guardrails for AI use and consider future IT landscape requirements.
•Develop strategic plans and roadmaps for AI security within the Cyber Security department, recognized as an internal expert whose contributions have significant organizational impact.
•Contribute to the short to mid-term (1-3 years) talent optimization plans within the AI security domain, helping to execute on strategic objectives for talent growth and development.
Requirements
•In-depth knowledge of AI/ML security principles, frameworks (e.g., NIST AI RMF, OWASP ML Top 10), and best practices.
•Bachelor's degree is required.
•6 to 10 years, or an equivalent combination of education and experience.
•Strong understanding of machine learning model vulnerabilities, data poisoning, adversarial attacks, and privacy-preserving ML techniques.
•Proficiency in cloud security principles and architectures (AWS, Azure, GCP) as they apply to AI workloads.
•Experience with security architecture, threat modeling, and risk assessment specifically for AI systems.
•Knowledge of data governance, privacy regulations (e.g., GDPR, CCPA), and ethical AI principles.
•Excellent communication, presentation, and interpersonal skills for effective stakeholder engagement.
Nice to Have
•Master's degree preferred.
Conditions
No conditions stated in the posting.
