At a Glance
- Tasks: Lead application security assessments and design secure architecture for AI platforms.
- Company: Join a forward-thinking team focused on AI and data security.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and development.
- Why this job: Make a real impact in securing cutting-edge AI technologies and applications.
- Qualifications: Master-level skills in application security and hands-on cloud security experience.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking an experienced Cybersecurity Specialist to join the AI & Data Security team, supporting a strategic AI Security Programme. This role is hands-on and advisory, focused on securing modern application and AI platforms while enabling teams to adopt AI technologies safely and effectively. You will act as a subject matter expert in application security, identity and access management, and AI security patterns, working across multiple teams to define standards, influence architecture decisions, and embed security-by-design.
Key Responsibilities
- Lead and deliver application security assessments, identifying vulnerabilities and recommending remediation strategies.
- Design and implement secure architecture patterns for AI and application platforms.
- Provide hands-on security guidance for AI technologies including AWS Bedrock, Azure OpenAI, Microsoft 365, and other foundation model providers.
- Define and advise on model security, deployment patterns, guardrails, observability, evaluation techniques, and safe operationalisation of AI solutions.
- Translate platform-specific risks, limitations, and best practices into actionable engineering standards and governance controls.
- Collaborate with engineering, data, AI, and platform teams to embed security best practices across the delivery lifecycle.
- Conduct regular security audits and reviews to ensure compliance with internal and external security standards.
- Support and influence key architectural and security decisions across multiple teams.
- Provide training, mentoring, and guidance on application and AI security standards.
- Stay current with emerging security threats, AI risks, and industry trends, continuously improving security posture.
Required Skills & Experience
- Master-level proficiency in Application Security Assessment.
- Strong hands-on experience in application and cloud security.
- Proven ability to operate as a security subject matter expert across multiple teams.
- Experience influencing architecture and security decisions in complex environments.
- Strong stakeholder management and collaboration skills.
Highly Desirable
- Expert proficiency in IAM Technical Architecture and Design.
- Strong experience with Web Application Firewalls (WAF).
- Hands-on experience with AWS Bedrock and AI Agents.
- Understanding of AI model risks, guardrails, and secure deployment patterns.
If you are interested please apply or send your CV to luke.sandilands@cpl.com.
Cyber Security Specialist (AWS Bedrock) employer: Cpl Life Sciences
As a Talent Attraction Specialist in R&D, you will thrive in a dynamic and innovative environment located in London, where hybrid working fosters flexibility and work-life balance. Our company is committed to employee growth, offering opportunities for professional development and collaboration with leading experts in the life sciences sector. Join us to be part of a culture that values diversity, creativity, and strategic thinking, ensuring that you play a pivotal role in shaping the future of scientific talent acquisition.
StudySmarter Expert Advice🤫
We think this is how you could land Cyber Security Specialist (AWS Bedrock)
✨Tip Number 1
Network like a pro! Reach out to folks in the cybersecurity field, especially those working with AI and AWS Bedrock. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your hands-on experience with application security assessments and cloud security. Include case studies or projects where you've influenced architecture decisions or implemented secure patterns – this will make you stand out!
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI security and application security. Be ready to discuss how you would tackle specific challenges related to AWS Bedrock and other platforms. We want to see your thought process and how you can add value to the team!
✨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, it shows you’re genuinely interested in joining our team and contributing to our AI Security Programme.
We think you need these skills to ace Cyber Security Specialist (AWS Bedrock)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in application security and cloud security, especially with AWS Bedrock. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about cybersecurity and how you can contribute to our AI Security Programme. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Hands-On Experience:Since this role is hands-on, make sure to detail your practical experience with application security assessments and secure architecture patterns. We’re looking for real-world examples that demonstrate your expertise!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to showcase your skills to the right people!
How to prepare for a job interview at Cpl Life Sciences
✨Know Your Stuff
Make sure you brush up on your application security and cloud security knowledge. Be ready to discuss specific vulnerabilities and remediation strategies you've encountered in the past, especially related to AWS Bedrock and AI technologies.
✨Showcase Your Collaboration Skills
This role involves working across multiple teams, so be prepared to share examples of how you've successfully collaborated with engineering, data, and AI teams. Highlight any experiences where you influenced architecture decisions or embedded security best practices.
✨Stay Current with Trends
Demonstrate your awareness of emerging security threats and AI risks. Bring up recent trends or incidents in the cybersecurity landscape that relate to the role, showing that you're proactive about staying informed and improving security posture.
✨Prepare for Hands-On Scenarios
Expect practical questions or scenarios during the interview. Be ready to walk through how you would conduct a security assessment or design secure architecture patterns for AI platforms. This will showcase your hands-on experience and problem-solving skills.
