AI Security Full Stack Engineering Manager
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Job Description
AI Security Engineering Manager building secure AI platforms for Ford. Leading full-stack, cloud, DevSecOps, and AI threat-protection capabilities across the enterprise.
Responsibilities:
- Design, build, and operate security capabilities for AI and generative AI platforms
- Develop services, APIs, and workflows that automate AI risk detection, policy enforcement, and compliance validation
- Integrate enterprise AI security technologies and frameworks into developer and platform engineering workflows
- Support secure AI operations across model development, deployment, and monitoring environments
- Design and develop secure web applications, dashboards, APIs, and backend services
- Build security controls into frontend, backend, and API layers
- Implement authentication, authorization, and access control using OAuth 2.0, OpenID Connect, and JWT
- Develop reusable services, SDKs, and APIs for secure-by-design adoption
- Design and implement secure cloud-native architectures across Azure, Google Cloud Platform, and Amazon Web Services
- Build and secure containerized and serverless applications using Kubernetes and cloud-native technologies
- Implement Infrastructure as Code using Terraform and embed security controls into cloud provisioning
- Develop automation to identify, prioritize, and remediate AI security risks
- Integrate security controls into CI/CD pipelines, including code scanning, infrastructure scanning, secrets detection, and policy validation
- Build observability solutions with logs, metrics, traces, monitoring, and alerting for AI platforms
- Implement controls addressing prompt injection, sensitive data exposure, model misuse, and adversarial attacks
- Conduct AI threat modeling and security architecture reviews
- Partner with security operations teams on detection, monitoring, and response capabilities for AI systems
- Evaluate emerging AI security technologies and drive adoption
- Lead, mentor, and develop a high-performing AI security engineering team
- Define technical roadmaps, architecture standards, and engineering best practices
- Prioritize product capabilities based on business impact, risk reduction, and customer needs
- Drive engineering excellence through design reviews, code reviews, and operational ownership
- Deliver secure, scalable AI security platform capabilities, automated risk detection and policy enforcement, observability, CI/CD security controls, reusable APIs/SDKs, and a high-performing engineering team
Requirements:
- Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field, or equivalent experience
- 10+ years of experience in software engineering, cybersecurity, platform engineering, or related disciplines
- 3+ years of experience securing AI/ML, generative AI, or data-driven platforms
- Experience leading engineering teams and delivering enterprise-scale technology solutions
- Strong hands-on development experience with Python and at least one modern backend technology: Node.js, Java, or Go
- Experience building RESTful APIs and microservices
- Proficiency with modern frontend frameworks such as React, Angular, or Vue
- Strong understanding of secure application development practices
- Experience with Azure, GCP, or AWS
- Strong understanding of Kubernetes, container security, and cloud-native architectures
- Experience with Infrastructure as Code, preferably Terraform
- Familiarity with CI/CD pipelines and Git-based development workflows
- Deep knowledge of application security principles and OWASP standards
- Experience with API security, Identity and Access Management (IAM), encryption, and secrets management
- Strong understanding of threat modeling, security monitoring, and incident response
- Knowledge of generative AI and large language model (LLM) security risks
- Experience with prompt injection mitigation, data protection, model governance, and AI threat modeling
- Familiarity with AI security frameworks, controls, and secure AI deployment practices
Benefits:
- No benefits, perks, or compensation extras are specified in the posting
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