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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead AI Application Security Engineer - **Company:** GXO Enterprise Services LLC - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $34,632.0 - $35,880.0 - **Contract:** Permanent contract - **Skills:** Kubernetes Security, Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Computing, Cloud Computing Security, Cloud Engineering, Cyber Security, Continuous Integration, Information Engineering, Information Leak Prevention, Identity and Access Management, Machine Learning, Open Web Application Security, Azure Machine Learning, Secure Coding, Strategies of Testing, AI Infrastructure, Data Logging, Google Cloud, Large Language Models, Snowflake, Software Security, HybridCloud, Amazon Virtual Private Cloud (VPC), AI Platforms, Kubernetes, Information Technology, Machine Learning Operations, Checkmarx, Virtual Agents, Oracle Cloud Infrastructure, Devsecops - **Published:** August 6, 2026 - **Apply:** https://www.jofdav.com/jobs/59101379-lead-ai-application-security-engineer ## About the Role * Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or equivalent related work or military experience, along with relevant AI, cloud, or application security certifications * 7+ years of experience in application security, DevSecOps, cloud security engineering, or security engineering with progressive technical leadership responsibilities * Hands-on experience securing AI/ML platforms, LLM applications, agentic AI systems, or enterprise AI infrastructure * Strong expertise in application security, secure CI/CD pipelines, Kubernetes, container security, API security, Infrastructure-as-Code, cloud security, and DevSecOps practices * Experience with Google Cloud Platform security, including Vertex AI, GKE, IAM, KMS, VPC Service Controls, Cloud Logging, and cloud-native AI workloads * Deep understanding of AI security frameworks and methodologies, including OWASP Top 10 for LLMs, OWASP Agentic Applications, MITRE ATLAS, NIST AI RMF, AI threat modeling, prompt injection defense, model supply chain security, and AI red teaming It'd be great if you also have: * Experience securing AWS, Azure, OCI, or hybrid cloud environments, including enterprise identity and access management platforms and Snowflake security * Experience with AI security tooling such as NVIDIA Garak, Microsoft PyRIT, Promptfoo, Wiz, Checkmarx, Invicti, or similar AI security platforms * Knowledge of EU AI Act requirements, AI governance, model lifecycle security, MLOps/LLMOps, Lean automation, and enterprise AI compliance frameworks ## Description As the Lead AI Application Security Engineer, you will serve as the technical lead for securing GXO's Enterprise AI Platform and AI-powered applications. You will define AI security architecture, testing methodologies, and secure development standards while partnering with application, cloud, data, and security teams to ensure AI solutions are designed, deployed, and operated securely across GXO's global technology environment., * Lead security testing and AI red teaming for GXO's AI applications, including LLMs, agentic AI systems, ML models, and the Enterprise AI Platform, identifying risks across prompt injection, model manipulation, data leakage, RAG pipelines, and AI supply chains * Design, implement, and maintain AI-aware DevSecOps practices by integrating AI security controls into CI/CD pipelines, cloud infrastructure, model deployments, and runtime environments * Develop and maintain secure AI development standards, threat models, and security architecture for AI/ML workloads, ensuring alignment with industry frameworks and GXO security policies * Evaluate, implement, and manage AI security tooling, including AI firewalls, prompt injection detection, runtime protections, model scanning, and AI security automation while supporting build-versus-buy decisions * Partner with application, cloud, infrastructure, data engineering, and Information Security teams to integrate AI security into enterprise architecture, platform development, incident response, governance, and continuous improvement initiatives ## Related Videos - [GenAI Security: Navigating the Unseen Iceberg](https://www.wearedevelopers.com/videos/1744-genai-security-navigating-the-unseen-iceberg) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Tackling the Risks of AI - With AI](https://www.wearedevelopers.com/videos/1690-tackling-the-risks-of-ai-with-ai) - [DevSecOps: Security in DevOps](https://www.wearedevelopers.com/videos/36-devsecops-security-in-devops) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Got AI ideas but no money? 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