At a Glance
- Tasks: Lead the charge in building a safe and trustworthy AI ecosystem.
- Company: Join a forward-thinking tech firm focused on AI safety and compliance.
- Benefits: Competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with significant impact on AI regulatory compliance.
- Why this job: Make a real difference in AI safety while working with cutting-edge technology.
- Qualifications: Experience in UK Financial Services and expertise in automated testing required.
The predicted salary is between 80000 - 100000 € per year.
Build and scale the "Safety & Trust" engine for our agentic AI ecosystem. You will be the technical lead responsible for ensuring our AWS Bedrock-based agents meet the highest standards of FCA Operational Resilience, DORA, and EU AI Act (Art. 15) compliance.
Core Responsibilities
- Automated Red Teaming: Implement adversarial testing (Garak, Pyrit, AgentDojo) directly into CI/CD pipelines with automated release gating.
- Centralised Eval Platform: Operate a firm-wide service to measure success rates, uncertainty, hallucination, and bias across all non-deterministic systems.
- Secure Architecture: Map OWASP LLM Top 10 and agentic threats to technical controls; manage AWS Bedrock Guardrails and Knowledge Bases.
- AI Supply Chain: Own the AI-BOM, ensuring supply chain integrity, signed artifacts, and drift monitoring.
- Regulatory Evidence: Produce the technical documentation and robust testing evidence required for EU AI Act Article 15.
Technical Requirements
- AWS Bedrock Expert: Hands-on experience with Bedrock Agents, Knowledge Bases, and model lifecycle management.
- AI/ML Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows.
- Security & Compliance: Deep knowledge of NIST AI RMF, OWASP LLM Top 10, and UK/EU financial regulations (FCA/DORA).
- Testing Automation: Proven ability to build measurement frameworks for drift, memorization, and adversarial robustness.
Qualifications
- Significant experience in UK Financial Services.
- Expertise in automated adversarial testing and evaluation at scale.
- Ability to bridge the gap between complex AI engineering and rigid regulatory requirements.
Ai Red Teaming Expert employer: Randstad Technologies
At Randstad Technologies, we pride ourselves on being an exceptional employer, particularly for the role of AI Red Teaming Expert. Our commitment to fostering a collaborative and innovative work culture is complemented by extensive employee growth opportunities, including access to cutting-edge technology and training in compliance with the latest regulations. Located in the heart of the UK financial services sector, we offer a unique environment where you can make a meaningful impact while ensuring the safety and trust of our AI ecosystem.
StudySmarter Expert Advice🤫
We think this is how you could land Ai Red Teaming Expert
✨Tip Number 1
Network like a pro! Connect with folks in the AI and financial services sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about reaching out for informational chats. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to automated adversarial testing and AWS Bedrock. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI compliance and security. Be ready to discuss how you would implement adversarial testing in CI/CD pipelines. We want to see your thought process and problem-solving skills in action!
✨Tip Number 4
Don’t forget to 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 are proactive about their job search!
We think you need these skills to ace Ai Red Teaming Expert
Some tips for your application 🫡
Show Your Passion for AI Safety:When writing your application, let us see your enthusiasm for building safe and trustworthy AI systems. Share any relevant projects or experiences that highlight your commitment to compliance and operational resilience.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with our needs, especially in areas like AWS Bedrock and automated adversarial testing.
Highlight Your Technical Expertise:Don’t hold back on showcasing your technical skills! Detail your hands-on experience with AWS Bedrock, AI/ML frameworks, and any relevant security and compliance knowledge. This is your chance to impress us with your depth of understanding.
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Randstad Technologies
✨Know Your Stuff
Make sure you brush up on AWS Bedrock and the specific tools mentioned in the job description, like Garak and Pyrit. Being able to discuss your hands-on experience with these technologies will show that you're not just familiar with them, but that you can actually implement them effectively.
✨Understand the Regulations
Familiarise yourself with FCA Operational Resilience, DORA, and the EU AI Act, especially Article 15. Be prepared to discuss how you would ensure compliance in your role. This shows that you understand the importance of regulations in the AI space and can bridge the gap between tech and compliance.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in automated adversarial testing or security compliance. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help interviewers see your thought process and how you approach complex problems.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI ecosystem and their current challenges with safety and trust. This not only shows your interest in the role but also gives you a chance to demonstrate your knowledge about the industry and the specific issues they face.
