AI Security Lead Architect
Role details
Job location
Tech stack
Requirements
Proven experience leading AI security teams in building enterprise-grade platforms on Azure.
Deep expertise in cloud architecture, distributed systems, and scalable frameworks.
Advanced proficiency in GenAI, agent-based systems, and LLMs. Understanding of agent frameworks (e.g., LangChain, Semantic Kernel) and orchestration tools.
Strong background in data engineering, including ETL, data lakes, and real-time processing.
Demonstrated ability to design secure, compliant, and reliable cloud solutions.
Proven success implementing governance frameworks, risk strategies, and compliance programs for emerging technologies.
Strong background in Python, AI/ML lifecycle management, neural networks, and cybersecurity within AI
Experience working with auditors, regulators, and compliance teams.
Proficiency in cloud-native AI/ML platforms (AWS SageMaker, Bedrock, Azure AI, Google Cloud Platform Vertex).
Familiarity with security frameworks (NIST, ISO 27001, ISO 42001, CIS Controls). Government / Public Sector experience is preferred.
Strong communication skills and ability to engage with stakeholders at all levels.
Ability to work independently in a fast-paced environment while fostering collaboration and creative problem-solving.
Leadership skills to mentor and guide team members effectively.
Benefits & conditions
Rate: up to 175k conversion (this max is not guaranteed as it is commensurate on experience)