Senior AI Security Engineer; Genai & LLM Protection

Senior AI Security Engineer (GenAI & LLM Protection)

Location:

Knutsford, Cheshire (Hybrid: 3 days in office / 2 days remote)
Duration:
Long-term contract (Until July 2026)
Rate: £600 per day
IR35 Status:
Inside IR35 (Umbrella PAYE)

Are you ready to define the future of AI Security in the financial sector? We are representing a global technology powerhouse tasked with securing the GenAI and Machine Learning roadmap for a Tier 1 Investment Bank. This is a rare opportunity for a Security SME to move beyond traditional infrastructure and secure the next generation of AI-driven banking services.

As a Senior AI Security Engineer, you will be the Subject Matter Expert (SME) responsible for protecting the bank's AI/ML ecosystems. You will bridge the gap between Data Science and Cyber Security, ensuring that Large Language Models (LLMs) and Generative AI deployments are resilient, governed, and secure from emerging threats.

• AI Governance & Guardrails:
  Drive the implementation of AI security platforms (e.g., Azure AI Security, AWS AI Guardrails, or Google Vertex AI Security).
• Threat Modelling & Pentesting:
  Conduct specialized assessments of AI/ML pipelines, model APIs, and data ingestion layers.
• Security Automation:
  Use Python to develop custom tooling and scripts that automate vulnerability testing for AI-related software.
• Model Security Research:
  Stay at the forefront of AI risks (OWASP for LLMs) and execute Proof of Concepts (PoCs) to evaluate new defensive technologies.
• Architecture & Design:
  Contribute to the design of cloud-native GenAI security services, ensuring they align with global data privacy and DLP standards.

We are looking for a security professional who understands both the “Cyber” and “Data Science” sides of the equation.

• AI Security Platforms:
  Expert knowledge of at least one industry-leading AI security framework (Azure, AWS, Google, or IBM Watson Open Scale).
• Cyber Security Fundamentals:
  Deep experience with firewalls, SIEM platforms, IDS/IPS, and vulnerability management.
• Advanced Scripting:
  High proficiency in Python for automation and security tooling development.
• Cloud Ecosystems:
  Hands‑on experience securing workloads within AWS or Azure.
• AI/ML Frameworks: A strong understanding of Lang Chain, PyTorch, or Scikit-learn is a significant advantage.
• Experience:
  
  5+ years in Security Engineering, Dev Ops, or Infrastructure roles.

• Specialized
  
  Certifications:
  
  CGLCP (Certified GenAI and LLM Cybersecurity Professional) or AWS Certified AI Practitioner.
• Industry Standard Certs: CISSP or equivalent.
• Financial Services:
  Experience working in a highly regulated or global banking environment.

This role follows a 60% office-based / 40% remote hybrid model. You will join an elite team in Knutsford, an environment designed for innovation, collaboration, and high-performance engineering.