As a Security (Cybersecurity) Architect, you will also help define and secure the company's rapidly evolving footprint in emerging technologies, including AI/ML systems, content generation pipelines, predictive analytics models, autonomous production tooling, and advanced cloud - native architectures....NIST and ISO 27001.
• Support incident response efforts, including planning, investigation, and post‑event review.
• Collaborate with development and infrastructure teams to integrate security requirements throughout the technology lifecycle.
• Evaluate, recommend, and implement modern security tools and monitoring systems across cloud, hybrid, and on‑premise ecosystems.
• Drive continuous improvements in security governance, documentation, and compliance.
• Architect security controls for AI/ML systems, including model hardening, data pipeline integrity, adversarial attack mitigation, and training data governance.
• Support secure adoption of emerging technologies, such as generative AI, edge computing, real - time production automation, and Deep learning based content workflows.
• Develop and enforce guidelines to prevent model poisoning, prompt injection failures, model exfiltration, and data leakage in AI-driven pipelines.
• Evaluate new AI tech...Who You Are
• A cybersecurity professional capable of combining deep technical knowledge with business‑aligned decision‑making.
• Experienced in designing secure architectures in hybrid environments (cloud + on‑prem), preferably within complex enterprise settings.
• Comfortable communicating with engineers, creative teams, and executives to translate security needs into actionable plans.
• Open to all candidates with demonstrated competency in core security principles and architecture fundamentals.
• Be e xperienced or strongly interested in securing AI/ML platforms, including understanding of model s ecurity risks, data governance controls, and emerging standards (e.g., NIST AI RMF, secure by design principles).
• Be a ble to communicate risks unique to emerging technologies to both technical teams and creative/production staff.
• Be c omfortable leading secure enablement for rapid innovation while enforcing guardrails that reduce organizational exposure....e them to responsible parties.
• Cloud & Hybrid Security Expertise (AWS, Azure, GCP) - Architecting controls for multi - cloud and hybrid environments , including IaaS, SaaS and other service models.
• Network & Application Security - Designing secure DNS, network segmentation, firewalls, secure coding integration, and monitoring.
• Security Governance & Compliance - Knowledge of frameworks (NIST, ISO 27001) and regulatory alignment s including national and international policy guidance.
• AI/ML Security Architecture - Drive the d esign and securing of AI/ML model environments, including training pipelines, inference endpoints, model registries, and data governance processes leveraging industry best-practices and vendor guidance.
• Adversarial AI & Model Integrity Protection - Research and recommend controls to detect and mitigate attacks such as data poisoning, model manipulation, prompt injection, and model exfiltration attempts.
• Secure Adoption of Emergi
