At a Glance
- Tasks: Lead the charge in building a safe and trustworthy AI ecosystem.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with significant impact on the future of AI in financial services.
- Why this job: Make a real difference in AI safety while working with cutting-edge technology.
- Qualifications: Experience in AWS Bedrock and a strong understanding of AI compliance regulations.
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 in City of London employer: Randstad Digital
At Randstad Technologies, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As an Ai Red Teaming Expert, you will not only lead innovative projects at the forefront of AI compliance but also benefit from extensive professional development opportunities and a supportive environment that values collaboration and creativity. Located in the heart of the UK financial services sector, we offer a unique chance to make a meaningful impact while enjoying a competitive benefits package and a commitment to work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Ai Red Teaming Expert in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and financial services sectors on LinkedIn. Join relevant groups and engage in discussions. 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 AWS Bedrock and automated adversarial testing. This gives potential employers a taste of 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 tackle challenges related to FCA Operational Resilience and the EU AI Act. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly helps us keep track of your application. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Ai Red Teaming Expert in City of London
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 experiences or projects 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 testing.
Highlight Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention your hands-on experience with AWS Bedrock, adversarial testing tools, and any frameworks you've built. This is your chance to impress us with your knowledge!
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 makes the process smoother for everyone involved!
How to prepare for a job interview at Randstad Digital
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS Bedrock and the tools mentioned in the job description, like Garak and Pyrit. Brush up on your knowledge of adversarial testing and how it fits into CI/CD pipelines, as this will likely come up during the interview.
✨Understand Regulatory Frameworks
Familiarise yourself with the FCA Operational Resilience, DORA, and EU AI Act compliance requirements. Be prepared to discuss how you can ensure that the AI systems meet these standards, as this is a key responsibility of the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in automated testing or security compliance in the past. Highlight your experience with building measurement frameworks for drift and adversarial robustness, as this will demonstrate your hands-on expertise.
✨Communicate Clearly and Confidently
Since the role involves bridging complex AI engineering with regulatory requirements, practice explaining technical concepts in simple terms. This will show your ability to communicate effectively with both technical and non-technical stakeholders.
