AI Security Engineering Lead Salary - £90-95k + Bonus + Benefits Location – Cheshire (2 days per week on site) Newly created role with a major global Banking institution, who are looking to hire a Security Engineering Lead to protect them from the ever-evolving AI Landscape whilst they embark on a major digital transformation.
You will be responsible for ensuring their internal ML (machine learning) AI (artificial Intelligence), LLM (Large Language Models) and GAN (Generative Adversarial Networks) models remain secure but also ensuring they are secured externally against each of these concepts.
Seriously exciting role with a really broad remit covering threat modelling, attack simulation, cyber detection/response and cloud security engineering; focused specifically on GenAI related cyber security risks and threats.
Genuinely an incredible opportunity for an experienced security engineering lead to build out and establish the AI Security Engineering function for one of the largest and most reputable banks worldwide, in what is comfortably the most interesting and innovative threat actor environment emerging in cyber security.
Key Responsibilities: Security Engineering: Development and implementation of protocols, algorithms, and software applications to protect sensitive data and systems.
Threat Modelling and Risk Analysis: Identifying potential attack vectors in GenAI systems Incident Response: Detecting adversarial attacks or misuse of generated content with GenAI Cloud Security: Securing AI workloads on cloud platforms (AWS, Azure) involving encryption, secure key management, and robust access controls.
Key Requirements: Strong understanding of machine learning algorithms, data processing, and AI frameworks (TensorFlow, PyTorch, Scikit-learn, etc).
Hands-on experience with deploying, maintaining and fine-tuning security monitoring and detection tooling.
Experience with threat modelling, penetration testing, and vulnerability assessments in AI environments.
Background in a DevSecOps / Software Sec Engineering environment with knowledge of ability to script/code in Python.
Experience securing AI workloads on major public cloud platforms (AWS or Azure)