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- Tasks: Develop and implement cutting-edge security strategies for AI technologies.
- Company: Join a leading firm at the forefront of AI and data security.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be a key player in securing innovative AI solutions and make a real impact.
- Qualifications: Expertise in network encryption and cloud identity security is essential.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
On behalf of one of our premier clients, we are seeking a high-caliber Cybersecurity Specialist to join their expanding AI & Data Security team. This is a critical role within our client's AI Security programme, designed for a professional who thrives at the intersection of traditional infrastructure security and the emerging frontier of Generative AI. Our client is at the forefront of AI adoption; you will be the technical lead ensuring that these powerful technologies from AWS Bedrock to Azure OpenAI are implemented with world-class security standards.
Core Requirements
- Network Encryption: Master Proficiency is required. You must have deep expertise in securing data in transit, cryptographic protocols, and enterprise-scale encryption management.
- Microsoft Azure Active Directory (Entra ID) Security: Master Proficiency is suggested. Extensive experience in identity governance, conditional access, and securing cloud identities is critical.
- AI & Emerging Technology (Recommended)
- Secure AI: Expert Proficiency is highly recommended. This includes knowledge of model security, deployment patterns, and the safe operationalization of foundation models.
- AI Agents: Intermediate Proficiency suggested. Experience in the security implications of autonomous agents and LLM-integrated workflows.
- Amazon Bedrock & Microsoft Azure AI Foundry: Intermediate Proficiency suggested. Practical experience with these specific platforms and their native security controls.
Key Responsibilities
- Innovative Strategy: Develop and implement security strategies that enhance application security while enabling AI adoption.
- Security Governance: Translate platform-specific risks (AWS Bedrock, Azure OpenAI) into actionable engineering patterns and governance controls.
- Assessments & Audits: Conduct regular security assessments and audits to identify vulnerabilities across the AI and data landscape.
- Cross-Functional Collaboration: Partner with multiple teams to ensure security best practices are integrated into the development lifecycle.
- Mentorship: Act as a subject matter expert, managing team decisions and mentoring members on modern application security principles.
Cybersecurity Specialist in City of London employer: Randstad Technologies Recruitment
Contact Detail:
Randstad Technologies Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cybersecurity Specialist in City of London
✨Tip Number 1
Network with industry professionals! Attend cybersecurity meetups, webinars, or conferences to connect with others in the field. This can lead to valuable referrals and insider info on job openings.
✨Tip Number 2
Showcase your skills through projects! Create a portfolio that highlights your expertise in network encryption and AI security. This gives potential employers a tangible way to see what you can do.
✨Tip Number 3
Prepare for interviews by practising common cybersecurity scenarios. Be ready to discuss how you would handle specific security challenges related to AWS Bedrock and Azure OpenAI.
✨Tip Number 4
Apply directly through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're proactive and genuinely interested in joining our team.
We think you need these skills to ace Cybersecurity Specialist in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with network encryption and Microsoft Azure Active Directory, as these are key areas for us. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about cybersecurity and AI. Share specific examples of your past work that relate to the role, and don’t forget to mention how you can contribute to our innovative strategies.
Showcase Your Technical Skills: We’re looking for someone with master proficiency in network encryption and Azure security. Be sure to list relevant certifications or projects that demonstrate your expertise. The more we see your technical chops, the better!
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. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Randstad Technologies Recruitment
✨Know Your Stuff
Make sure you brush up on your knowledge of network encryption and Microsoft Azure Active Directory. Be ready to discuss specific cryptographic protocols and how you've implemented security measures in past roles. This will show that you’re not just familiar with the concepts, but that you can apply them effectively.
✨Showcase Your AI Security Knowledge
Since this role is all about AI and emerging technologies, be prepared to talk about secure AI practices. Think about examples where you've dealt with model security or deployment patterns. Highlight any experience you have with Amazon Bedrock or Azure OpenAI, as this will set you apart from other candidates.
✨Prepare for Scenario Questions
Expect to face scenario-based questions that assess your problem-solving skills in real-world situations. Practice articulating how you would handle specific security challenges related to AI and data. This will demonstrate your critical thinking and ability to translate risks into actionable strategies.
✨Emphasise Collaboration and Mentorship
This role involves cross-functional collaboration, so be ready to discuss how you've worked with different teams in the past. Share examples of how you've mentored others in security best practices. This shows that you’re not only a technical expert but also a team player who can lead and inspire.
