[Remote] Senior Cybersecurity Platform Engineer

Note: The job is a remote job and is open to candidates in USA. Ford Motor Company is a global leader in mobility solutions and innovation. They are seeking a Senior Cybersecurity Platform Engineer to design, implement, and maintain security platforms that support enterprise cybersecurity operations, focusing on integrating security tools and improving detection capabilities.

Responsibilities

• Design, implement, maintain, and improve security platforms and tools that protect the organization’s IT infrastructure
• Optimize security technologies to detect, prevent, and respond to security threats in real time
• Collaborate with engineering, IT, and security operations teams to deploy and support enterprise cybersecurity platforms and solutions
• Secure in-house and public AI and ML/DL systems against cyber threats, adversarial attacks, and data breaches across the solution lifecycle
• Design and implement robust security platforms supporting enterprise security needs (e.g., unified telemetry pipeline like BindPlane, SIEM like QRadar, SecOps, and AI security)
• Define and maintain guidelines and controls to secure AI systems, including data protection, model security, and compliance requirements
• Apply established frameworks as references/baselines (e.g., Google Secure AI Framework (SAIF), NIST AI Risk Management Framework, Framework for AI Cybersecurity Practices (FAICP))
• Identify, assess, and mitigate AI-specific security risks (adversarial attacks, data poisoning, model inversion, unauthorized access)
• Conduct vulnerability assessments and penetration testing on AI models and data pipelines
• Ensure AI data is encrypted, anonymized, and securely stored
• Implement access controls for sensitive AI data and models (RBAC, ABAC, Zero Trust)
• Protect AI models from tampering, theft, and adversarial manipulation during training and deployment
• Monitor and log AI system activity for anomalies and security incidents
• Develop and enforce policies to align AI systems with industry regulations, ethical standards, and organizational governance requirements
• Develop automated workflows and scripts to enhance security platform functionality and scalability, improving operational efficiency
• Manage timely patching and upgrades to security tools and systems to reduce downtime and minimize vulnerabilities
• Configure alerting systems for security threats and enable real-time monitoring for observability
• Partner with incident response teams to identify, contain, and mitigate security incidents
• Support root cause analysis to improve security posture and prevent repeat breaches
• Optimize security tools and platforms for performance and effectiveness while meeting compliance and organizational requirements
• Maintain documentation for platform configurations, AI services and capabilities, troubleshooting guides, and operational procedures

Skills

• Bachelor's degree in Computer Science, Information Security, or related field OR a combination of education and experience
• 5+ years of experience in security engineering, platform engineering, and AI/ML, including experience in large, complex environments, such as:
• Managing security platforms and tools in enterprise environments
• Telemetry pipeline platforms (e.g., BindPlane), SIEM (e.g., Splunk, QRadar), and vulnerability management tools
• Scripting and automation (Python, PowerShell, and/or Bash)
• Infrastructure as Code (Terraform, Ansible)
• Cloud security tools and platforms (GCP, AWS, Azure)
• Container security (Docker, Kubernetes)
• Networking protocols, firewalls, and network security best practices
• AI/ML concepts, architectures, and AI security challenges
• AI threat areas (adversarial attacks, data poisoning, model inversion, unauthorized access)
• Vulnerability assessment and penetration testing on AI models and data pipelines
• Data protection techniques (encryption, anonymization, secure storage) and secure access management (RBAC, ABAC, Zero Trust)
• Incident response, monitoring tools, and threat intelligence platforms
• Security frameworks and compliance references (SAIF, NIST, FAICP)
• ITSM processes and tools (ServiceNow) and delivery practices/tools (Agile, JIRA)
• Master's degree in Computer Science, Information Security, or related field
• Understanding of cloud AI/ML services and deployment pipelines
• CISSP (Certified Information Systems Security Professional)
• CCSP (Certified Cloud Security Professional)
• Preferred certifications such as CAISF, AICERTs, AI for Cybersecurity Specialization, or equivalent
• GCP cloud certification or equivalent in AWS or Azure (preferred)
• Additional cybersecurity certificates (preferred)
• Excellent communication and documentation skills for policy development and stakeholder engagement

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

Company Overview