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 safety and compliance.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with significant impact on the future of AI technology.
- Why this job: Be at the forefront of AI innovation while ensuring regulatory compliance.
- Qualifications: Experience in UK Financial Services and expertise in automated testing.
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 Technologies Recruitment
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 be at the forefront of innovation in a supportive environment that prioritises professional growth and development, while also ensuring compliance with critical regulations. Our commitment to employee well-being is reflected in our comprehensive benefits package and the unique opportunity to work within the vibrant UK Financial Services sector, making us an exceptional employer for those seeking meaningful and rewarding careers.
Contact Detail:
Randstad Technologies Recruitment Recruiting Team
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 or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experience with AWS Bedrock, automated adversarial testing, and compliance frameworks. This will give potential employers a clear view of what you bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI regulations and security compliance. Be ready to discuss how you can ensure FCA Operational Resilience and DORA compliance in your role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a leg up in the process.
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 your enthusiasm for AI safety and compliance shine through. We want to see how you connect with our mission to build a trustworthy AI ecosystem, so share any relevant experiences or projects that highlight your commitment.
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 love seeing candidates who take the time to align their background with our needs, especially around AWS Bedrock and regulatory compliance.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Highlight your key achievements and how they relate to the role, making it easy for us to see why you’re a great fit.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end.
How to prepare for a job interview at Randstad Technologies Recruitment
✨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 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.
