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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dc50837e-835"},"title":"AI Security Engineering Manager","description":"<p>Ford Enterprise Platform &amp; Engineering Operations is seeking an experienced AI Security Engineering Manager to lead the engineering and operational security of enterprise AI platforms and applications.</p>\n<p>This role will drive the design and implementation of security capabilities protecting AI models, AI-powered applications, and AI developer platforms across Ford&#39;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.</p>\n<p>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.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>AI Security Platform Engineering</strong></p>\n<ul>\n<li>Design and build scalable AI security platform capabilities protecting AI models, AI pipelines, and AI applications.</li>\n<li>Implement security across the AI lifecycle, including model governance, runtime protection, and secure AI deployment.</li>\n<li>Integrate enterprise AI protection capabilities including Microsoft AI Security, Prisma AIRS, and Google Model Armor.</li>\n</ul>\n<p><strong>AI Endpoint &amp; Runtime Security</strong></p>\n<ul>\n<li>Implement AI endpoint protection capabilities, including KOI AI endpoint security, to protect AI workloads running on enterprise endpoints and developer environments.</li>\n<li>Secure AI interactions across developer endpoints, APIs, and AI-enabled applications.</li>\n<li>Implement controls to mitigate prompt injection, data leakage, model abuse, and adversarial AI threats.</li>\n</ul>\n<p><strong>AI Threat Detection &amp; Security Operations</strong></p>\n<ul>\n<li>Partner with Cybersecurity Team &amp; Integrate AI security telemetry with enterprise detection platforms such as Google SecOps.</li>\n<li>Support SOC to build detection capabilities for AI-specific threats and misuse patterns.</li>\n</ul>\n<p><strong>Cloud &amp; Infrastructure Security</strong></p>\n<ul>\n<li>Secure AI workloads across Google Cloud (GCP), and Microsoft Azure.</li>\n<li>Implement secure infrastructure using Terraform and Infrastructure-as-Code.</li>\n<li>Design security controls for Kubernetes-based AI platforms, APIs, and microservices.</li>\n</ul>\n<p><strong>Engineering &amp; Automation</strong></p>\n<ul>\n<li>Develop automation and security tooling using Python, APIs, and modern full-stack development practices.</li>\n<li>Build reusable security services and APIs supporting AI engineering teams.</li>\n<li>Enable DevSecOps automation across AI development pipelines.</li>\n</ul>\n<p><strong>Leadership &amp; Collaboration</strong></p>\n<ul>\n<li>Lead and mentor a team of AI security engineers and platform engineers.</li>\n<li>Partner with AI engineering, platform engineering, and cybersecurity teams to embed security into enterprise AI development.</li>\n<li>Define the AI security engineering roadmap, standards, and platform capabilities.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>12+ years of experience in cybersecurity, cloud security, or platform engineering.</li>\n<li>3+ years of experience securing AI/ML platforms or AI-driven applications.</li>\n<li>4+ years of hands-on software development experience, preferably in Python.</li>\n<li>Strong expertise in:</li>\n<li>AI / ML security</li>\n<li>API and microservices security</li>\n<li>Full-stack development</li>\n<li>Hands-on experience with:</li>\n<li>Kubernetes security</li>\n<li>Terraform / Infrastructure-as-Code</li>\n<li>Cloud platforms (GCP, AWS, Azure)</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience implementing enterprise AI security platforms.</li>\n<li>Experience with AI protection technologies, including:</li>\n<li>Microsoft AI Security</li>\n<li>Palo Alto Prisma AIRS</li>\n<li>Google Model Armor</li>\n<li>KOI AI Endpoint Security</li>\n<li>Google Security Command Center Enterprise (SCCE)</li>\n<li>Experience securing LLM-based applications and generative AI systems.</li>\n<li>Familiarity with AI threat models, adversarial AI techniques, and AI governance frameworks.</li>\n</ul>\n<p><strong>Preferred Certifications</strong></p>\n<ul>\n<li>CISSP – Certified Information Systems Security Professional</li>\n<li>CCSP – Certified Cloud Security Professional</li>\n<li>Google Professional Cloud Security Engineer</li>\n<li>AWS Security Specialty</li>\n<li>Microsoft Azure Security Engineer (AZ-500)</li>\n<li>Certified Kubernetes Security Specialist (CKS)</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_dc50837e-835","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ford Enterprise Platform & Engineering Operations","sameAs":"https://www.ford.com/","logo":"https://logos.yubhub.co/ford.com.png"},"x-apply-url":"https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/60773","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","APIs","Full-stack development","Kubernetes security","Terraform / Infrastructure-as-Code","Cloud platforms (GCP, AWS, Azure)","AI / ML security","API and microservices security"],"x-skills-preferred":["Microsoft AI Security","Palo Alto Prisma AIRS","Google Model Armor","KOI AI Endpoint Security","Google Security Command Center Enterprise (SCCE)"],"datePosted":"2026-04-24T12:18:24.801Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Python, APIs, Full-stack development, Kubernetes security, Terraform / Infrastructure-as-Code, Cloud platforms (GCP, AWS, Azure), AI / ML security, API and microservices security, Microsoft AI Security, Palo Alto Prisma AIRS, Google Model Armor, KOI AI Endpoint Security, Google Security Command Center Enterprise (SCCE)"}]}