Platform Engineering Manager in Fayetteville

Energy Jobline ZR; Fayetteville (AR); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Discretionary incentive award

Comprehensive benefits

Job summary

Cargill seeks an AI Security Engineering Manager to secure and operate AI services across data and application teams. You will lead a security engineering team, implementing automated controls and resilient AI platforms while guiding risk-based security posture.

You will collaborate across AI platform, cloud, and software teams to align with industry best practices and drive secure, scalable AI solutions. This role emphasizes leadership, strategic thinking, and hands-on security excellence.

Qualifications

• Bachelor’s or Master’s degree in computer science, Information Systems, Cybersecurity, or related field.
• 10+ years of experience in a software or cloud engineering role.
• In-depth knowledge of security for Large Models (LLMs), Generative AI, or Agentic AI systems.
• 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.
• Adaptability and ability to multitask in evolving environments.

Responsibilities

• Lead the development of resilient AI security services and protect sensitive data and critical business applications.
• Collaborate with AI platform engineers, cloud engineers, software engineers and other stakeholders to create security solutions aligning to best practices.
• Lead a team of AI security engineers and provide security leadership for the organization.
• Assess AI security risks, automate security controls, and support Incident Response while improving security posture.
• Define and document security implications of new systems or interfaces between AI systems.

Skills

AI security

Security leadership

Cloud engineering

Cybersecurity

LLM security

Education

Bachelor’s or Master’s in CS/IS/Cybersecurity

Tools

Model registries

Vector databases

RAG pipelines

Fine-tuning workflows

Inference gateways

Job description

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. Our 155,000 team members innovate with purpose, providing customers with life’s essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing—today and for to come.

Job Purpose and Impact

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

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 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.

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.

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Equal Opportunity Employer, including /Vet.