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- Tasks: Lead the security strategy for generative AI and model life cycle management.
- Company: Pioneering financial institution at the forefront of AI innovation.
- Benefits: Competitive daily rate, flexible work environment, and opportunity for contract extension.
- Other info: Build a world-class adversarial AI function with significant industry impact.
- Why this job: Shape the future of secure AI in a dynamic and evolving landscape.
- Qualifications: Proven experience in financial services and deep knowledge of AI security frameworks.
A pioneering financial institution is seeking an experienced Threat & Adversarial AI Expert to join their cybersecurity team. You will act as the primary architect of safety for the firm's generative AI ecosystem, ensuring agentic capabilities remain resilient against an evolving global threat landscape.
As a Threat AI Expert, you will lead the organisation's Generative AI security strategy. Key responsibilities include:
- Advanced Threat Modelling: Leading structured sessions using STRIDE and OWASP LLM/Agentic frameworks to map out attack trees for complex, non-deterministic systems.
- Adversarial Engineering: Translating emerging threats such as Prompt Injection, Sleeper Agents, and Denial-of-Wallet into rigorous test cases.
- AWS Bedrock Mastery: Overseeing the secure model life cycle, including the configuration of Guardrails, Knowledge Bases (RAG), and Agentic tool-use.
- Regulatory Stewardship: Mapping the firm's safeguard catalogue against the specific demands of DORA, FCA Operational Resilience, and the EU AI Act.
- Collaborative Resilience: Running scenario-based workshops to validate control effectiveness, ensuring innovation never outpaces the firm's risk appetite.
Essential Skills:
- Proven track record in UK Financial Services with deep knowledge of FCA compliance and DORA.
- Solid grasp of Foundation Models (FMs), RAG, and the risks of non-deterministic agentic behaviour.
- Mastery of OWASP LLM Top 10 and the NIST AI Risk Management Framework.
- Hands-on experience securing AWS Bedrock and governing the full AI model life cycle.
- Ability to translate 'AI Red Teaming' outcomes into high-impact insights for both engineers and executives.
You will have the opportunity to define the industry standard for Secure AI, sitting at the forefront of the bank's transition to agentic workflows. You will be provided with the scale and mandate to build a world-class adversarial AI function from the ground up.
If the above seems of interest to you then please apply directly to the AD or send your CV to Randstad Technologies.
Threat & Adversarial AI Expert in London employer: Randstad Technologies
Contact Detail:
Randstad Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Threat & Adversarial AI Expert in London
✨Tip Number 1
Network like a pro! Reach out to folks in the cybersecurity and AI space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects related to Threat Modelling and Adversarial Engineering. This is your chance to demonstrate your mastery of AWS Bedrock and other tools. We want to see what you can do!
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of FCA compliance, DORA, and the NIST AI Risk Management Framework. We recommend practising common interview questions and even doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative. So, don’t wait around – get your CV in and let’s make some waves in the AI security world together!
We think you need these skills to ace Threat & Adversarial AI Expert in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Threat & Adversarial AI Expert. Highlight your experience in UK Financial Services and any relevant projects that showcase your skills in advanced threat modelling and adversarial engineering.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've tackled challenges in cybersecurity, especially related to generative AI and compliance with regulations like DORA and FCA.
Showcase Your Technical Skills: Don’t shy away from listing your technical proficiencies! Mention your mastery of AWS Bedrock, OWASP LLM Top 10, and any hands-on experience you have with securing AI models. We want to see your expertise shine through!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape the future of Secure AI at our firm.
How to prepare for a job interview at Randstad Technologies
✨Know Your Threat Models
Make sure you brush up on advanced threat modelling techniques like STRIDE and OWASP LLM frameworks. Be ready to discuss how you've applied these in past roles, as this will show your depth of knowledge and practical experience.
✨Showcase Your Adversarial Engineering Skills
Prepare to talk about specific adversarial threats you've encountered, such as Prompt Injection or Denial-of-Wallet. Bring examples of how you've translated these threats into test cases, demonstrating your hands-on experience in the field.
✨Demonstrate AWS Bedrock Mastery
Familiarise yourself with the secure model life cycle in AWS Bedrock. Be prepared to discuss how you've configured Guardrails and Knowledge Bases, as well as any challenges you've faced and how you overcame them.
✨Understand Regulatory Requirements
Get a solid grasp of DORA, FCA Operational Resilience, and the EU AI Act. Be ready to explain how you've mapped safeguard catalogues against these regulations in previous roles, showcasing your ability to navigate compliance in the financial sector.