Job Purpose and Impact
The Principal AI Security Architect will help enable secure responsible and scalable adoption of Artificial Intelligence across the enterprise. This role will lead the definition of security architecture standards and guardrails for AI platformsincluding Generative AI and Agentic AIensuring Cargills data models and digital assets remain protected as AI innovation accelerates.
As a senior technical leader you will work closely with architects engineers and data teams to embed security into AI systems by design addressing emerging threats while enabling business agility
Key Accountabilities
- Define and evolve enterprise AI security architecture standards and control frameworks.
- Design reusable secure reference architectures and guardrails for AI workloads across cloud and platform environments.
- Partner with engineering data science and architecture teams to integrate automated scalable AI security controls across the AI lifecycle.
- Lead security strategy for Generative AI and Agentic AI including LLM protection prompt safety agent orchestration tool execution and humanintheloop controls.
- Identify and mitigate emerging AI threats such as prompt injection model misuse data poisoning inference abuse and AI supplychain risks.
- Assess and document the security impact of new AI systems agents and integrations on the broader enterprise environment.
- Guide evaluation and adoption of AI security technologies to ensure solutions are effective and costefficient.
- Provide technical leadership and mentorship to security engineers and influence AI security roadmaps.
- Stay current on AI cloud and security trends and translate them into actionable security strategies.
Qualifications
- Minimum requirement of 6 years of relevant work experience. Typically reflects 10 years or more of relevant experience.
- 10 years of experience in cybersecurity architecture or engineering roles.
- Strong understanding of modern AI/ML architectures pipelines and platforms.
- Hands-on experience with Generative AI and Agentic AI security including LLMs AI agents prompt safety testing and AI governance.
- Ability to clearly communicate AI security risks to technical and non-technical stakeholders.
- Strong analytical problem-solving and decision-making skills.
- Demonstrated adaptability in fast-changing environments with the ability to manage multiple priorities.
Job Purpose and Impact The Principal AI Security Architect will help enable secure responsible and scalable adoption of Artificial Intelligence across the enterprise. This role will lead the definition of security architecture standards and guardrails for AI platformsincluding Generative AI and Agen...
Job Purpose and Impact
The Principal AI Security Architect will help enable secure responsible and scalable adoption of Artificial Intelligence across the enterprise. This role will lead the definition of security architecture standards and guardrails for AI platformsincluding Generative AI and Agentic AIensuring Cargills data models and digital assets remain protected as AI innovation accelerates.
As a senior technical leader you will work closely with architects engineers and data teams to embed security into AI systems by design addressing emerging threats while enabling business agility
Key Accountabilities
- Define and evolve enterprise AI security architecture standards and control frameworks.
- Design reusable secure reference architectures and guardrails for AI workloads across cloud and platform environments.
- Partner with engineering data science and architecture teams to integrate automated scalable AI security controls across the AI lifecycle.
- Lead security strategy for Generative AI and Agentic AI including LLM protection prompt safety agent orchestration tool execution and humanintheloop controls.
- Identify and mitigate emerging AI threats such as prompt injection model misuse data poisoning inference abuse and AI supplychain risks.
- Assess and document the security impact of new AI systems agents and integrations on the broader enterprise environment.
- Guide evaluation and adoption of AI security technologies to ensure solutions are effective and costefficient.
- Provide technical leadership and mentorship to security engineers and influence AI security roadmaps.
- Stay current on AI cloud and security trends and translate them into actionable security strategies.
Qualifications
- Minimum requirement of 6 years of relevant work experience. Typically reflects 10 years or more of relevant experience.
- 10 years of experience in cybersecurity architecture or engineering roles.
- Strong understanding of modern AI/ML architectures pipelines and platforms.
- Hands-on experience with Generative AI and Agentic AI security including LLMs AI agents prompt safety testing and AI governance.
- Ability to clearly communicate AI security risks to technical and non-technical stakeholders.
- Strong analytical problem-solving and decision-making skills.
- Demonstrated adaptability in fast-changing environments with the ability to manage multiple priorities.
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