AI Security Full Stack Engineering Manager

Job not on LinkedIn

🔥 55 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ford Motor Company

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1903

📦 Logistics

💼 Consulting

📣 Marketing

💰 Post-IPO Debt on 2023-08

Logistics • Consulting • Marketing

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.

📋 Description

• 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