Assistant director - AI Security Architect

📌 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻:

We are seeking a senior, client-facing AI Security Architect to lead the design and implementation of secure AI platforms for our enterprise and government clients. In this pivotal role, you will be responsible for creating robust, compliant, and resilient AI solutions tailored to meet the unique regulatory and operational needs of each customer. You will work directly with client cybersecurity and data science teams to architect secure AI/ML systems, protect sensitive data, and ensure adherence to local and international standards. This position involves architecting security controls across the entire AI lifecycle, from data pipelines and model training to inference and API endpoints. Your expertise will be crucial in guiding clients through threat modeling, risk mitigation, and achieving trusted, explainable AI, directly contributing to both project acquisition and successful delivery.

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🎯 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀:

▸ 6+ years in technical consulting, solution architecture, or infrastructure engineering.

▸ 4+ years of experience with cloud (Azure, AWS, GCP), hybrid, or on-premises infrastructure architecture and design.

▸ Expertise in GPU-enabled architecture design for AI/ML workloads.

▸ Hands-on experience with securing Kubernetes, container platforms, and orchestration tools.

▸ Deep knowledge of AI/ML security principles, including threat modeling and adversarial ML protection.

▸ Proficiency in securing AI/ML workflows and APIs from platforms like OpenAI, Azure AI, and Hugging Face.

▸ Demonstrated experience applying security standards such as GDPR, ISO 27001, and NIST.

▸ Strong understanding of enterprise networking, including InfiniBand, and security architectures.

✨ 𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲𝘀:

▸ Master’s degree in Cybersecurity, Computer Engineering, or a related field.

▸ Experience working in or with telecom, government, or other highly regulated industries.

▸ Professional security certifications such as CISSP, CCSP, CKA/CKS, or Azure Security Engineer.

▸ AI/ML-related certifications (e.g., TensorFlow, Azure AI Engineer).

▸ Enterprise architecture certification (e.g., TOGAF).