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AI Security Engineering Manager
Ford Motor Company. Design and build scalable AI security platform capabilities protecting AI models, AI pipelines, and AI applications.
Tech Stack
Tools & technologiesAWSAzureCloudCyber SecurityGoogle Cloud PlatformKubernetesMicroservicesPythonTerraform
About the role
Key responsibilities & impact- Design 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.
- Implement 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.
- Partner 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.
- Secure 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.
- Develop 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.
- Lead 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.
Requirements
What you’ll need- 12+ 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 security
- - API and microservices security
- - Full-stack development
- Hands-on experience with:
- - Kubernetes security
- - Terraform / Infrastructure-as-Code
- - Cloud platforms (GCP, AWS, Azure)
- Experience implementing enterprise AI security platforms.
- Experience with AI protection technologies, including:
- - Microsoft AI Security
- - Palo Alto Prisma AIRS
- - Google Model Armor
- - KOI AI Endpoint Security
- - Google 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 Certifications
- - CISSP – Certified Information Systems Security Professional
- - CCSP – Certified Cloud Security Professional
- - Google Professional Cloud Security Engineer
- - AWS Security Specialty
- - Microsoft Azure Security Engineer (AZ-500)
- - Certified Kubernetes Security Specialist (CKS)
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Ford Motor Company Website LinkedIn All Job Openings 10,000+ employees Founded 1903 🚗 Transport 💰 Post-IPO Debt on 2023-08 Transport
- Manufacturing
- Sustainability Ford Motor Company is a globally renowned automotive company based in the United States, established by Henry Ford. The company is committed to building a better world where every individual has the freedom to move and follow their dreams. Ford is dedicated to innovation, with a focus on services, experiences, and software alongside its traditional vehicle manufacturing. The company is actively involved in sustainability initiatives and aims to meet ambitious environmental targets. Ford values service, community impact, and strives to combine business success with social and environmental responsibility. With a rich history of over 121 years, Ford continues to adapt and lead in the evolving automotive landscape. AI Security Engineering Manager Job not on LinkedIn 🔥 0 minutes ago 🇮🇳 India – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 👮♀️ Software Engineering Manager AWS Azure Cloud Cyber Security Google Cloud Platform Kubernetes Microservices Python Terraform Apply Now Find Hiring Managers Customize resume for this job Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Design 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.
- Implement 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.
- Partner 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.
- Secure 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.
- Develop 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.
- Lead 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. 🎯 Requirements
- 12+ 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 security
- - API and microservices security
- - Full-stack development
- Hands-on experience with:
- - Kubernetes security
- - Terraform / Infrastructure-as-Code
- - Cloud platforms (GCP, AWS, Azure)
- Experience implementing enterprise AI security platforms.
- Experience with AI protection technologies, including:
- - Microsoft AI Security
- - Palo Alto Prisma AIRS
- - Google Model Armor
- - KOI AI Endpoint Security
- - Google 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 Certifications
- - CISSP – Certified Information Systems Security Professional
- - CCSP – Certified Cloud Security Professional
- - Google Professional Cloud Security Engineer
- - AWS Security Specialty
- - Microsoft Azure Security Engineer (AZ-500)
- - Certified Kubernetes Security Specialist (CKS) Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Senior Software Engineering Manager, ISPM 🔥 15 hours ago JumpCloud 201 - 500 ☁️ SaaS 🔐 Security 🏢 Enterprise Website LinkedIn All Job Openings Senior Engineering Manager leading Identity Security Posture Management development team for JumpCloud's unified open directory platform. Responsible for guiding engineering practices and product strategy. 🇮🇳 India – Remote 💰 $66M Series F on 2021-10 ⏰ Full Time 🟠 Senior 👮♀️ Software Engineering Manager AWS Azure Cyber Security Google Cloud Platform Engineering Manager, Connect 🔥 23 hours ago Confluent 1001 - 5000 🤖 Artificial Intelligence ☁️ SaaS Website LinkedIn All Job Openings Engineering Manager leading a team of engineers in the Connect organization at Confluent. Delivering high-quality connectors and platform improvements in cloud environments. 🇮🇳 India – Remote 💰 Secondary Market on 2021-06 ⏰ Full Time 🟠 Senior 🔴 Lead 👮♀️ Software Engineering Manager AWS Azure Cloud Distributed Systems Google Cloud Platform Engineering Manager – Customer Experience AI 🕒 Yesterday Coinbase 1001 - 5000 ₿ Crypto 💸 Finance 💳 Fintech Website LinkedIn All Job Openings Engineering Manager leading the development of AI-powered solutions for customer experience at Coinbase. Driving strategy, architecture, and operational excellence in AI systems. 🇮🇳 India – Remote 💵 ₹9.4M / year 💰 $21.4M Post-IPO Equity on 2022-11 ⏰ Full Time 🟠 Senior 🔴 Lead 👮♀️ Software Engineering Manager Distributed Systems Ruby Go Principal Engineering Manager – Head of AI 🕒 3 days ago Deep Sync 51 - 200 🤝 B2B Website LinkedIn All Job Openings Principal Engineering Manager driving the development of an AI platform at Deep Sync in India. Leading a newly formed team to innovate and build autonomous agent workflows. 🇮🇳 India – Remote ⏰ Full Time 🔴 Lead 👮♀️ Software Engineering Manager AWS Cloud Docker Java Kubernetes Python Engineering Manager 🕒 6 days ago Weekday (YC W21) 11 - 50 ☁️ SaaS 🎯 Recruiter Website LinkedIn All Job Openings Engineering Manager responsible for leading engineering teams and building scalable data systems for Weekday's clients. Focused on Java and Apache Flink in a remote capacity. 🇮🇳 India – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 👮♀️ Software Engineering Manager Apache AWS Azure Cloud Distributed Systems Docker Google Cloud Platform Hadoop Java Kafka Kubernetes Microservices Spark View More Engineering Manager Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs
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Hard Skills & Tools
AI securityML securityAPI securitymicroservices securityfull-stack developmentKubernetes securityTerraformInfrastructure-as-Codecloud securitysoftware development
Soft Skills
leadershipmentoringcollaborationcommunicationorganizational skills
Certifications
CISSPCCSPGoogle Professional Cloud Security EngineerAWS Security SpecialtyMicrosoft Azure Security EngineerCertified Kubernetes Security Specialist