AI/ML Security Architect

Overview

In this role you will lead security architecture for AI/ML initiatives, enabling secure adoption of Generative and Agentic AI across a large enterprise. You will act as the design authority, collaborating with engineering, cloud, and security teams to implement secure-by-design patterns and practical controls. You will address AI-specific risks such as prompt injection, data leakage, and threat modelling, across LLMs, RAG, AI agents, and related tooling. This is a cutting-edge, globally scoped opportunity that shapes how AI security is embedded at scale.

Responsibilities

• Provide security architecture and design authority for AI/ML initiatives
• Define practical security controls and secure-by-design patterns for AI systems
• Collaborate with engineering, cloud, and security teams to implement solutions
• Conduct AI threat modelling and risk assessments
• Address risks across LLMs, RAG, AI agents, vector databases, and API/tool integrations
• Focus on identity security and data leakage prevention in AI workflows

Key requirements

• Strong security architecture background
• Genuine AI/LLM security experience
• Exposure to major AI/ML cloud platforms (GCP Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Anthropic Claude) or LangChain/LangGraph

• Collaborative stakeholder engagement
• Clear communication with cross-functional teams
• Problem-solving mindset
• AI/ML security architecture
• Threat modelling for AI systems
• LLMs, RAG, AI agents

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