AI Security Engineering Manager

Ford Enterprise Platform & Engineering Operations (EPEO) is seeking an experienced AI Security Engineering Manager to lead the engineering and operational security of enterprise AI platforms and applications.This role will drive the design and implementation of security capabilities protecting AI models, AI-powered applications, and AI developer platforms across Ford’s enterprise ecosystem. The position will focus on securing both internally developed AI systems and third-party AI technologies, ensuring governance, runtime protection, and operational monitoring.You will help build and operate a next-generation AI security platform that integrates capabilities from Microsoft AI Security, Palo Alto Prisma AIRS, Google Model Armor, and enterprise security platforms, enabling safe and scalable AI adoption across Ford.ResponsibilitiesWhat You Will DoAI Security Platform EngineeringDesign and build scalable AI security platform capabilities protecting AI models, AI pipelines, and AI applications.Implement security across the AI lifecycle, including model governance, runtime protection, and secure AI deployment.Integrate enterprise AI protection capabilities including Microsoft AI Security, Prisma AIRS, and Google Model Armor.AI Endpoint & Runtime SecurityImplement AI endpoint protection capabilities, including KOI AI endpoint security, to protect AI workloads running on enterprise endpoints and developer environments.Secure AI interactions across developer endpoints, APIs, and AI-enabled applications.Implement controls to mitigate prompt injection, data leakage, model abuse, and adversarial AI threats.AI Threat Detection & Security OperationsPartner with Cybersecurity Team & Integrate AI security telemetry with enterprise detection platforms such as Google SecOps.Support SOC to build detection capabilities for AI-specific threats and misuse patterns.Cloud & Infrastructure SecuritySecure AI workloads across Google Cloud (GCP), and Microsoft Azure.Implement secure infrastructure using Terraform and Infrastructure-as-Code.Design security controls for Kubernetes-based AI platforms, APIs, and microservices.Engineering & AutomationDevelop automation and security tooling using Python, APIs, and modern full-stack development practices.Build reusable security services and APIs supporting AI engineering teams.Enable DevSecOps automation across AI development pipelines.Leadership & CollaborationLead and mentor a team of AI security engineers and platform engineers.Partner with AI engineering, platform engineering, and cybersecurity teams to embed security into enterprise AI development.Define the AI security engineering roadmap, standards, and platform capabilities.QualificationsWhat You Will bringRequired Qualifications12+ years of experience in cybersecurity, cloud security, or platform engineering.3+ years of experience securing AI/ML platforms or AI-driven applications.4+ years of hands-on software development experience, preferably in Python.Strong expertise in:AI / ML securityAPI and microservices securityFull-stack developmentHands-on experience with:Kubernetes securityTerraform / Infrastructure-as-CodeCloud platforms (GCP, AWS, Azure)Preferred QualificationsExperience implementing enterprise AI security platforms.Experience with AI protection technologies, including:Microsoft AI SecurityPalo Alto Prisma AIRSGoogle Model ArmorKOI AI Endpoint SecurityGoogle Security Command Center Enterprise (SCCE)Experience securing LLM-based applications and generative AI systems.Familiarity with AI threat models, adversarial AI techniques, and AI governance frameworks.Preferred CertificationsCISSP – Certified Information Systems Security ProfessionalCCSP – Certified Cloud Security ProfessionalGoogle Professional Cloud Security EngineerAWS Security SpecialtyMicrosoft Azure Security Engineer (AZ-500)Certified Kubernetes Security Specialist (CKS)Technology EnvironmentLanguages: Python, APIs, Full-stack developmentCloud Platforms: Google Cloud (GCP), AWS, Microsoft AzureInfrastructure: Kubernetes, TerraformAI Security Platforms: Microsoft AI Security, Prisma AIRS, Google Model ArmorEndpoint Security: KOI AI Endpoint SecuritySecurity Platforms: Google Security Command Center Enterprise (SCCE), Google SecOpsImpactThis role will help Ford build a secure enterprise AI ecosystem, enabling teams to develop, deploy, and scale AI technologies safely across global cloud and endpoint environments, while protecting AI systems from emerging threats.

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