[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.ResponsibilitiesDesign, implement, maintain, and improve security platforms and tools that protect the organization’s IT infrastructureOptimize security technologies to detect, prevent, and respond to security threats in real timeCollaborate with engineering, IT, and security operations teams to deploy and support enterprise cybersecurity platforms and solutionsSecure in-house and public AI and ML/DL systems against cyber threats, adversarial attacks, and data breaches across the solution lifecycleDesign 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 requirementsApply 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 pipelinesEnsure AI data is encrypted, anonymized, and securely storedImplement access controls for sensitive AI data and models (RBAC, ABAC, Zero Trust)Protect AI models from tampering, theft, and adversarial manipulation during training and deploymentMonitor and log AI system activity for anomalies and security incidentsDevelop and enforce policies to align AI systems with industry regulations, ethical standards, and organizational governance requirementsDevelop automated workflows and scripts to enhance security platform functionality and scalability, improving operational efficiencyManage timely patching and upgrades to security tools and systems to reduce downtime and minimize vulnerabilitiesConfigure alerting systems for security threats and enable real-time monitoring for observabilityPartner with incident response teams to identify, contain, and mitigate security incidentsSupport root cause analysis to improve security posture and prevent repeat breachesOptimize security tools and platforms for performance and effectiveness while meeting compliance and organizational requirementsMaintain documentation for platform configurations, AI services and capabilities, troubleshooting guides, and operational proceduresSkillsBachelor's degree in Computer Science, Information Security, or related field OR a combination of education and experience5+ 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 environmentsTelemetry pipeline platforms (e.g., BindPlane), SIEM (e.g., Splunk, QRadar), and vulnerability management toolsScripting 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 practicesAI/ML concepts, architectures, and AI security challengesAI threat areas (adversarial attacks, data poisoning, model inversion, unauthorized access)Vulnerability assessment and penetration testing on AI models and data pipelinesData protection techniques (encryption, anonymization, secure storage) and secure access management (RBAC, ABAC, Zero Trust)Incident response, monitoring tools, and threat intelligence platformsSecurity 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 fieldUnderstanding of cloud AI/ML services and deployment pipelinesCISSP (Certified Information Systems Security Professional)CCSP (Certified Cloud Security Professional)Preferred certifications such as CAISF, AICERTs, AI for Cybersecurity Specialization, or equivalentGCP cloud certification or equivalent in AWS or Azure (preferred)Additional cybersecurity certificates (preferred)Excellent communication and documentation skills for policy development and stakeholder engagementBenefitsImmediate medical, dental, vision and prescription drug coverageFlexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and moreFamily building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and moreVehicle discount program for employees and family members and management leasesTuition assistanceEstablished and active employee resource groupsPaid time off for individual and team community serviceA generous schedule of paid holidays, including the week between Christmas and New Year’s DayPaid time off and the option to purchase additional vacation time.Company OverviewWe don't just make history -- we make the future. It was founded in 1903, and is headquartered in Dearborn, Michigan, USA, with a workforce of 10001+ employees. Its website is https://www.ford.com.