At a Glance
- Tasks: Lead AI security initiatives and ensure compliance with cutting-edge regulations.
- Company: Join a leading firm in UK Financial Services with a focus on innovation.
- Benefits: Competitive day rates, flexible remote work, and opportunities for professional growth.
- Other info: Dynamic role with a chance to shape the future of AI resilience.
- Why this job: Make a real impact in AI security while working with the latest technologies.
- Qualifications: Expertise in AI/ML, AWS, and security frameworks required.
The predicted salary is between 48000 - 60000 € per year.
AI Security & Resilience Experts - Contract (Outside IR35)
Location: London / Hybrid - 2/3 days onsite
Sector: UK Financial Services
Rate: Competitive Market Rates (Role Dependent)
IR35: Inside
Day rate: up to £600 per day
Length: 9 months
All candidates must demonstrate:
- UK FinServ Compliance: Deep familiarity with DORA, FCA Operational Resilience, and the EU AI Act.
- AWS Bedrock Stack: Hands-on experience with Agents, Knowledge Bases, Guardrails, and model lifecycles.
- AI/ML Core: Mastery of FMs, RAG, tool-use, and non-deterministic agent logic.
- Security Frameworks: Proficiency in OWASP LLM Top 10 and NIST AI RMF.
Role 1: Identity Expert
Mission: Secure the "Human-to-Agent" and "Agent-to-Resource" identity chain.
Key Tasks:
- Lead SPIFFE/SPIRE rollouts with AWS Roles Anywhere; harden OBO (On-Behalf-Of) flows.
- Implement sender-constrained tokens (PoP) and JIT for non-human identities.
- Modelling for Confused Deputy and Federation Hijacks; ensuring full traceability per EU AI Act Art. 12 & 14.
Role 2: Threat & Adversarial AI Expert
Mission: Lead structured offensive modeling to identify systemic AI vulnerabilities.
Key Tasks:
- Conduct STRIDE modeling and build attack trees for prompt injection and "Denial-of-Wallet" scenarios.
- Run scenario workshops to test real-world control effectiveness.
- Maintain an adversarial knowledge base and map safeguards to compliance frameworks.
Role 3: AI Evals & Red Teaming Expert
Mission: Automate the "Release Gate" for AI systems through rigorous adversarial testing.
Key Tasks:
- Integrate tools like Pyrit, Garak, or AgentDojo into CI/CD pipelines.
- Build frameworks for uncertainty, drift detection, and success rates.
- Own the AI-BOM and generate Article 15 evidence for bias, hallucination, and memorisation risks.
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Tech Specialist - REMOTE in London employer: Randstad Technologies
Randstad Technologies is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the fast-paced UK Financial Services sector. With competitive market rates and a focus on employee growth through hands-on experience with cutting-edge AI technologies, this remote role provides unique opportunities for professional development while ensuring compliance with critical regulations. Join a team that values your expertise and fosters a supportive environment for tackling complex challenges in AI security and resilience.
StudySmarter Expert Advice🤫
We think this is how you could land Tech Specialist - REMOTE in London
✨Tip Number 1
Network like a pro! Reach out to folks in the UK FinServ sector, especially those who know their stuff about DORA and the EU AI Act. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your AWS skills! If you've got hands-on experience with the Bedrock Stack, make sure to highlight that in conversations. We want to see you demonstrate your mastery of FMs and non-deterministic agent logic.
✨Tip Number 3
Prepare for those tricky questions! Brush up on OWASP LLM Top 10 and NIST AI RMF. Being able to discuss these frameworks confidently will set you apart from the crowd.
✨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 to connect directly with us.
We think you need these skills to ace Tech Specialist - REMOTE in London
Some tips for your application 🫡
Know Your Stuff:Make sure you really understand the key requirements in the job description. We want to see that you've got a solid grasp of DORA, FCA Operational Resilience, and the EU AI Act. Show us how your experience aligns with these areas!
Tailor Your Application:Don’t just send a generic CV and cover letter. We love it when candidates personalise their applications to highlight relevant skills and experiences. Make it clear why you're the perfect fit for the Tech Specialist role!
Show Off Your Skills:When detailing your experience with AWS Bedrock Stack or security frameworks like OWASP LLM Top 10, be specific! We want to know about your hands-on experience and how you've tackled challenges in these areas.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it makes the whole process smoother for everyone!
How to prepare for a job interview at Randstad Technologies
✨Know Your Compliance Inside Out
Make sure you’re well-versed in UK FinServ compliance, especially DORA and the FCA Operational Resilience. Brush up on the EU AI Act too, as these regulations are crucial for the role. Being able to discuss these confidently will show you’re serious about the position.
✨Show Off Your AWS Skills
Since hands-on experience with the AWS Bedrock Stack is a must, prepare to talk about your past projects involving Agents, Knowledge Bases, and model lifecycles. Bring examples of how you’ve implemented these technologies in real-world scenarios to demonstrate your expertise.
✨Master the Security Frameworks
Familiarise yourself with OWASP LLM Top 10 and NIST AI RMF. Be ready to discuss how you’ve applied these frameworks in previous roles, particularly in relation to securing identity chains and implementing sender-constrained tokens. This will highlight your practical knowledge.
✨Prepare for Technical Challenges
Expect to face technical questions or scenarios during the interview. Practice structured offensive modelling and be prepared to discuss STRIDE modelling and attack trees. Showing that you can think critically about AI vulnerabilities will set you apart from other candidates.
