Sr. Consultant, Info Security, App, Data, Cloud Security - AI

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 generations to come.

• The Senior AI Security Engineer will help establish and strengthen the security foundation for the Cargill’s modern business applications by securing and operating a scalable, enterprise AI Platform. In this role, you will apply deep expertise in cybersecurity, cloud platforms, and AI engineering to protect AI capabilities used by data and application teams to deliver measurable business value.

  You will play a key role in enabling safe adoption of Generative AI, Large Language Models (LLMs), and Agentic AI systems , while ensuring security, resilience, and compliance are built in by design. The role also includes coaching and mentoring junior engineers , driving automation first security practices, and delivering highly scalable AI security solutions across the enterprise.

• Develop andmaintainsecurity and resilience forenterprisegrade
  
  AI and Generative AI services, supportingbusinesscriticaluse cases at scale.
• Secure Large Language Models (LLMs), Agentic AI systems, and multiagent workflows, including inference services, fine tuning pipelines, and runtime execution environments.
• Implement security controls for Model Context Protocol (MCP) and similar agent integration patterns, protecting tool invocation, context exchange,agenttoagentcommunication, and external data access.
• Develop and manage AI platform security capabilities across public cloud AI services,selfhostedmodels, andthirdparty
  
  AI providers.
• Build automated security guardrails using Python andpolicyascodeto enforce access control, data protection, model usage limits, and runtime monitoring.
• Partner closely with AI Platform, Cloud Platform, Dev Ops, Software Engineering, and Compliance teams to embed security into the AI development lifecycle (AISDLC).
• Perform threat modeling and risk assessments for AI architectures, including RAG pipelines, vector databases, agent frameworks, and model supply chains.
• Support
  
  AIrelatedincident response, including investigation, containment, remediation, and lessons learned for security incidents involving AI systems or agents.
• Contribute to enterprise AI security standards, reference architectures, and best practices.
• Act as a senior technical voice, mentoring junior engineers and influencing stakeholders across engineering and leadership teams.

• Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Artificial Intelligence / Machine Learning, ora related field.
• 6+ years of experience in cybersecurity engineering, withdemonstratedownership of complex, enterprise-scale systems.
• Proven experience 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.
• Strong understanding of cloud security concepts across AWS, Azure, and/or GCP, including IAM, networking, encryption, logging, and monitoring.
• Hands-on experience with Python and security automation for scalable enforcement of AI security controls.
• Experience securing containerized and distributed systems, including Kubernetes and service meshes.
• Familiarity with AI platform components such as model registries, vector databases, RAG pipelines, fine-tuning workflows, and inference gateways.

Equal Opportunity Employer, including Disability/Vet.