Manager, Info Security, App, Data, Cloud Security

Job Purpose and Impact

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  The AI Security Engineering Manager will help solidify foundation for the company's modern business applications. In this role, you will apply your knowledge of cybersecurity and AI engineering practices to secure and operate AI services used by our data and application teams to drive business value.  You will also lead and coach security team of engineers to deliver highly scalable security solutions using automation

  
  

Key Accountabilities

• Lead the development of resilient AI services that protects sensitive data and critical business applications


• Collaborate with AI platform engineers, cloud engineers, software engineers and other key stakeholders to create security solutions aligning to industry’s best practices while fostering trusted relationships


• Lead a team of AI security engineers and be a security thought leader for the organization


• Assess AI security risks, automate security controls, and support the Incident Response team while making continuous improvements to the organization's AI security posture


• Address evolving threats to Cargill’s platforms in AI security strategies and platform designs. 


• Optimize investments in AI security technology to ensure they are fit-for-purpose and cost-effective. 


• Stay informed about emerging technology trends that impact the company’s security and risk posture. 


• Define and document how the implementation of new systems or interfaces between AI systems affects the security posture of the current environment


• Provide expertise for developing AI Security standards and incident response playbooks


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Qualifications

• Bachelor’s or master’s degree in computer science, Information Systems, Cybersecurity, or a related field and or equivalent experience. 


• 10+ years of experience working in a software or cloud engineering role. 


• In-depth knowledge of addressing the unique security challenges of Large Language Models (LLMs), Generative AI, or Agentic AI systems, including model misuse, prompt injection, hallucination risk, and data governance


• Experience with AI platform components such as model registries, vector databases, RAG pipelines, fine-tuning workflows, and inference gateways


• Familiarity with cloud automation, management, and deployment capabilities. 


• Knowledge of container architectures, CNAPP, CSPM, CASB, CIEM, CWPP, and CI/CD security in the cloud. 


• Demonstrates flexibility in changing situations, adapting ideas or perceptions in response to evolving circumstances, and altering standard procedures when necessary. Ability to multitask effectively. 

#Standard

Compensation Data

The expected salary for this position is $120,000 - $160,000.  Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. 

At Cargill we put people first.  As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellnessto learn more (subject to certain collective bargaining agreements for Union positions).

Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.