Senior Consultant, Info Security, Application Security, Data Security, Cloud Security – AI
Cargill
full-time
Posted on:
Location Type: Office
Location: Atlanta • United States
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Job Level
About the role
- Develop and maintain security and resilience for enterprise-grade AI and Generative AI services, supporting business-critical use cases at scale.
- Secure Large Language Models (LLMs), Agentic AI systems, and multi-agent 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, agent-to-agent communication, and external data access.
- Develop and manage AI platform security capabilities across public cloud AI services, self-hosted models, and third-party AI providers.
- Build automated security guardrails using Python and policy-as-code 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 AI-related 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.
Requirements
- 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.
Benefits
- Equal Opportunity Employer, including Disability/Vet.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonsecurity automationthreat modelingrisk assessmentscloud securityKubernetesservice meshesLarge Language Models (LLMs)Generative AIAgentic AI
Soft Skills
mentoringinfluencing stakeholderscollaboration
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Computer ScienceBachelor’s degree in CybersecurityMaster’s degree in CybersecurityBachelor’s degree in Artificial IntelligenceMaster’s degree in Artificial IntelligenceBachelor’s degree in Machine LearningMaster’s degree in Machine Learning