Senior AI Platform Engineer - Security

Overview

Senior AI Platform Engineer - Security, hands-on ownership of shared security foundations for an AI Platform so product teams can build AI capabilities with reusable controls.

What you'll do

• Shape and own substantial components of the AI Platform security architecture.
• Design and build identity, authorization, delegated-access, and policy-enforcement controls for AI systems.
• Secure retrieval, tool use, and execution against prompt injection, unauthorized actions, and data leakage.
• Design risk-proportionate controls including approval gates, isolation, execution limits, and recovery mechanisms.
• Build audit and monitoring so security-relevant activity is traceable and high-risk behavior is detectable.
• Run threat modelling and adversarial testing and translate results into shared platform controls and secure defaults.

What you'll need

• Strong software engineering experience designing, building, and operating secure production systems in Python, TypeScript, or similar.
• At least 5 years in software engineering with experience securing cloud/distributed/platform services.
• Experience with authentication, authorization, policy enforcement, and multi-tenant isolation.
• Practical experience with threat modelling and application security testing, converting risks into engineering controls.
• Experience designing or building systems using LLMs, retrieval-augmented generation, or agents.
• Experience building reusable platform controls, APIs, or shared services used by multiple engineering teams.
• Undergraduate/Master’s/PhD in Computer Science, Machine Learning, Data Science, Artificial Intelligence, or related disciplines.

Details

• Location: Flexible—remote, hybrid, or based at an Esko location; worldwide locations considered.