AI Security Full Stack Engineering Manager
Ford Motor CompanyMatch Score
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Job Description
Structured overview of role & requirementsAbout This Role
Own technical strategy, architecture, development, and operational delivery of Ford's AI security platform.
Lead a team of AI security engineers while actively participating in system design, code reviews, automation, and technical decisions.
Develop secure AI platforms and automation for AI risk detection, policy enforcement, and compliance integrated into developer workflows.
Minimum Requirements
Bachelor's degree in Computer Science, Cybersecurity, Engineering, or 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.
Ideal Candidate Profile
Proven ability to design, build, and operate secure AI and generative AI platforms with automation-focused security controls.
Experienced full-stack developer with strong skills in Python, backend technologies, frontend frameworks, and cloud-native architectures (Azure, GCP, AWS).
Practical knowledge of AI-specific security risks (prompt injection, model governance) and integration of security into CI/CD pipelines suitable for enterprise environments.