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 155000 team members innovate with purpose providing customers with lifes 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 thingtoday and for generations to come.
Job Purpose and Impact
TheSenior AI Security Engineerwill helpestablishand strengthen the security foundation for theCargillsmodern business applicationsby securing andoperatinga scalable enterprise AI this role you will apply deepexpertiseincybersecurity cloud platforms and AI engineeringto protect AI capabilities used by data and application teams to deliver measurable business value.
You will play a key role in enabling safe adoption ofGenerative AI Large Language Models (LLMs) and Agentic AI systems while ensuring security resilience and compliance are built in by design. The role also includescoaching and mentoring junior engineersdrivingautomationfirstsecurity practices and delivering highly scalable AI security solutions across the enterprise
Key Accountabilities
- Develop andmaintainsecurity and resilience forenterprisegradeAI and Generative AI services supportingbusinesscriticaluse 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 exchangeagenttoagentcommunication and external data access.
- Develop and manage AI platform security capabilities across public cloud AI servicesselfhostedmodels andthirdpartyAI 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 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.
- SupportAIrelatedincident 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
- Bachelors orMasters degree in Computer Science Cybersecurity Artificial Intelligence / Machine Learning ora relatedfield.
- 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
#HiPo
Equal Opportunity Employer including Disability/Vet.
Required Experience:
Senior IC
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 155000 team members innov...
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 155000 team members innovate with purpose providing customers with lifes 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 thingtoday and for generations to come.
Job Purpose and Impact
TheSenior AI Security Engineerwill helpestablishand strengthen the security foundation for theCargillsmodern business applicationsby securing andoperatinga scalable enterprise AI this role you will apply deepexpertiseincybersecurity cloud platforms and AI engineeringto protect AI capabilities used by data and application teams to deliver measurable business value.
You will play a key role in enabling safe adoption ofGenerative AI Large Language Models (LLMs) and Agentic AI systems while ensuring security resilience and compliance are built in by design. The role also includescoaching and mentoring junior engineersdrivingautomationfirstsecurity practices and delivering highly scalable AI security solutions across the enterprise
Key Accountabilities
- Develop andmaintainsecurity and resilience forenterprisegradeAI and Generative AI services supportingbusinesscriticaluse 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 exchangeagenttoagentcommunication and external data access.
- Develop and manage AI platform security capabilities across public cloud AI servicesselfhostedmodels andthirdpartyAI 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 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.
- SupportAIrelatedincident 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
- Bachelors orMasters degree in Computer Science Cybersecurity Artificial Intelligence / Machine Learning ora relatedfield.
- 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
#HiPo
Equal Opportunity Employer including Disability/Vet.
Required Experience:
Senior IC
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