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Reimagining what's possible for food and agriculture
The Role
The Senior AI Security Consultant secures enterprise AI platforms, LLMs, generative AI, agentic systems, cloud services, and AI development pipelines. Responsibilities include building automated Python and policy-as-code guardrails, threat modeling AI architectures, securing RAG and vector database environments, supporting AI incident response, establishing security standards, and mentoring engineers. The role partners with cloud, DevOps, engineering, platform, and compliance teams to enable secure, scalable AI adoption.
Summary Generated by Built In
Job Purpose and Impact
Key Accountabilities
Qualifications
#Standard
- The Senior AI Security Consultant 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 automationfirst security practices, and delivering highly scalable AI security solutions across the enterprise
Key Accountabilities
- Develop and maintain security and resilience for enterprisegrade AI and Generative AI services, supporting businesscritical use cases at scale.
- Secure Large Language Models (LLMs), Agentic AI systems, and multiagent workflows, including inference services, finetuning pipelines, and runtime execution environments.
- Implement security controls for Model Context Protocol (MCP) and similar agent integration patterns, protecting tool invocation, context exchange, agenttoagent communication, and external data access.
- Develop and manage AI platform security capabilities across public cloud AI services, selfhosted models, and thirdparty AI providers.
- Build automated security guardrails using Python and policyascode to enforce access control, data protection, model usage limits, and runtime monitoring.
- Partner closely with AI Platform, Cloud Platform, DevOps, 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 AIrelated incident 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.
Qualifications
- Bachelor's or Master's degree in Computer Science, Cybersecurity, Artificial Intelligence / Machine Learning, or a related field.
- 6+ years of experience in cybersecurity engineering, with demonstrated ownership 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
#Standard
Skills Required
- Bachelor's or Master's degree in Computer Science, Cybersecurity, Artificial Intelligence, Machine Learning, or a related field
- 6+ years of experience in cybersecurity engineering
- Experience owning complex, enterprise-scale systems
- Experience securing Large Language Models, Generative AI, or Agentic AI systems
- Knowledge of model misuse, prompt injection, hallucination risk, and data governance
- Strong understanding of cloud security across AWS, Azure, and/or GCP
- Hands-on experience with Python and security automation
- Experience securing containerized and distributed systems, including Kubernetes and service meshes
- Familiarity with model registries, vector databases, RAG pipelines, fine-tuning workflows, and inference gateways
What the Team is Saying
Gaby
Data Engineering Lead
Landon
North America Service Assurance Manager
Navita
Software Engineering Senior Supervisor
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William Orgertrice
Data Engineer
Kayode D.
Principal Data Engineer
Patricia
Supply Chain Learning & Development and Digital Support Lead
Heather W.
Software Engineer
Kristen K.
Factory of the Future Digital Product Manager
Shrey B.
Senior Software Engineer
Madhuri P.
Senior Data Scientist
William Orgertrice
Data Engineer — Data Function, Platforms and Product Engineering
Navita S.
Software Engineering Senior Supervisor
Heather W.
Software Engineer
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Cargill Compensation & Benefits Highlights
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Healthcare Strength — Health coverage includes comprehensive medical, dental, and vision options, with broad networks, mental-health/EAP resources, and wellness incentives. Feedback suggests plan choice and advocacy resources provide strong support for navigating care.
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Retirement Support — Retirement programs feature a 401(k) with company matching alongside an ESOP and an additional retirement account. Feedback suggests these elements are widely regarded as a strong long‑term value.
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Leave & Time Off Breadth — The published PTO structure scales from 15 to 30 days with tenure, alongside paid holidays and paid family leave. Feedback suggests the breadth of time off supports work‑life needs, especially for longer‑tenured employees.
Cargill Insights
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The Company
What We Do
We are a family company providing food, ingredients, agricultural solutions and industrial products to nourish the world in a safe, responsible and sustainable way. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials— from eggs to edible oils, salt to skincare, feed to flooring. By providing customers with products that are vital for living, we help businesses grow, communities prosper and consumers live well in their daily lives.
Why Work With Us
The decision to join Cargill can open the door to a world of possibility. As part of our Digital, Technology & Data team, you’ll get to be part of a large and diverse group full of unique perspectives united by a common, higher purpose while building a rewarding career full of opportunity, growth and the satisfaction of knowing your work matters.
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Cargill Teams
Cargill Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Not Specified
