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For Companies At a Glance
- Tasks: Design and maintain security standards for AI and ML systems while collaborating with diverse teams.
- Company: Premier cybersecurity services company trusted by Fortune 500 and mid-sized enterprises.
- Benefits: Remote work, competitive pay, and opportunities for professional growth in a cutting-edge field.
- Why this job: Make a real impact on AI security and shape the future of technology.
- Qualifications: Strong background in application security and hands-on experience with AI/ML systems.
- Other info: Join a dynamic team focused on innovation and responsible AI practices.
The predicted salary is between 48000 - 72000 £ per year.
Company – Our client is a premier cybersecurity services company that partners with Fortune 500 and mid-sized enterprises to provide expert security consulting, threat intelligence, and managed services. Recognized for deep technical expertise and a client-first approach, they are a trusted advisor for modern enterprise security programs.
Location – Remote in the United Kingdom
Role Type – Contract
Must Have Skills:
- Strong background in application security, cloud security, or security architecture
- Hands-on experience with securing AI/ML systems, including LLMs, APIs, RAG pipelines, and vector stores
- Deep familiarity with AI security risks and threat modeling methodologies
- Working knowledge of modern DevSecOps practices and tools
- Excellent communication and stakeholder engagement skills
Responsibilities and Job Details:
- Design and maintain security architecture standards and patterns for AI and ML systems
- Conduct in-depth architecture reviews, threat modeling, and contextual risk assessments
- Partner with AI platform engineers, product teams, and data scientists to embed security into the development lifecycle
- Develop scalable engagement models for AI security reviews and guidance
- Integrate secure development practices and automated security checks into CI/CD pipelines
- Collaborate with DevOps to embed security tools and testing for AI models and inference APIs
- Contribute to internal governance efforts for responsible AI and security policy alignment
- Ensure AI implementations comply with organizational and regulatory standards
- Guide anomaly detection, logging, and incident response for AI behaviours
- Monitor evolving AI threats and continuously improve internal architecture patterns
- Share knowledge and mentor teams to elevate internal AI security capabilities
- Stay informed on industry standards such as OWASP LLM Top 10, NIST AI RMF, and ISO/IEC 42001
AI Application Security Architect in Manchester employer: Covenant HR
Contact Detail:
Covenant HR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Application Security Architect in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the cybersecurity space, especially those who work with AI and application security. Use platforms like LinkedIn to connect and engage with industry professionals; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI security, threat modeling, or DevSecOps practices. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI security challenges and solutions. Be ready to discuss your hands-on experience with securing AI/ML systems and how you've tackled security risks in past roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly can sometimes give you an edge over other candidates. Let’s get you that AI Application Security Architect role!
We think you need these skills to ace AI Application Security Architect in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of AI Application Security Architect. Highlight your experience in application security and any hands-on work with AI/ML systems. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI security and how your background makes you a perfect fit. We love seeing genuine enthusiasm, so let your personality come through!
Showcase Relevant Projects: If you've worked on projects related to securing AI systems or threat modelling, make sure to mention them. We’re interested in real-world examples that demonstrate your expertise and problem-solving skills in this area.
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 don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Covenant HR
✨Know Your Stuff
Make sure you brush up on your application security and cloud security knowledge. Familiarise yourself with AI/ML systems, especially LLMs and APIs. Being able to discuss specific security risks and threat modelling methodologies will show that you’re not just a theoretical expert but someone who can apply this knowledge practically.
✨Showcase Your Experience
Prepare to share concrete examples from your past work where you’ve successfully secured AI systems or implemented DevSecOps practices. Use the STAR method (Situation, Task, Action, Result) to structure your responses, making it easy for the interviewers to see your impact.
✨Engage and Communicate
Since excellent communication is key for this role, practice articulating complex security concepts in a way that’s easy to understand. Be ready to discuss how you would collaborate with AI platform engineers and product teams to embed security into the development lifecycle.
✨Stay Current
Keep yourself updated on the latest industry standards like OWASP LLM Top 10 and NIST AI RMF. Mentioning recent developments or trends during your interview can demonstrate your commitment to continuous learning and your proactive approach to security challenges.
