Remote Job: Fulltime only Visa: GC/USC only Job Description Must Have Technical/Functional Skills Security architecture for cloud, data, and AI environments. IAM, Zero Trust, encryption, secrets, secure APIs, logging, auditability, and data-loss controls. Experience securing sensitive datasets across IT, OT, and third-party workflows. Ability to work with engineering teams without disrupting delivery or platform usability. Good to Have Industrial cybersecurity, connected products, sensor data, OT/IT convergence, or secure MLOps. Policy-as-code, container security, software supply-chain controls, and privacy engineering. Roles & Responsibilities Define security, privacy, retention, audit, and access-control architecture for multimodal data pipelines, AI training datasets, annotation workflows, model environments, and connected engineering platforms. Design identity, authentication, authorization, and privileged-access patterns for users, services, pipelines, repositories, and machine identities. Define RBAC/ABAC, least-privilege, segregation-of-duties, encryption, key management, secure transfer, and controlled data sharing. Translate classification, privacy, export-control, retention, and audit requirements into enforceable controls. Embed security checks into CI/CD, repositories, data pipelines, containers, and model workflows. Create threat models, control mappings, evidence requirements, exception handling, and remediation plans. Managerial Skills Work with engineering teams to embed controls without disrupting delivery or platform usability; own exception handling and remediation plans.
