At a Glance
- Tasks: Design and secure AI/ML systems while ensuring compliance with data security regulations.
- Company: Join Hamilton Barnes, a leader in cyber security and IT consulting.
- Benefits: Enjoy a competitive salary up to £110,000 plus a 10% annual bonus.
- Why this job: Make a real impact on AI security and collaborate with a top-notch team.
- Qualifications: 7+ years in Cyber Security with relevant certifications and AI/ML expertise required.
- Other info: Eligible candidates must hold or be eligible for SC Clearance.
The predicted salary is between 66000 - 77000 £ per year.
Get AI-powered advice on this job and more exclusive features.
Are you a seasoned Security Architect with a passion for Artificial Intelligence? We’re searching for a skilled professional to design, implement, and safeguard AI-powered architectures, ensuring secure, ethical, and robust AI deployment.
Salary & Benefits: Base salary up to £110,000 + 10% annual bonus
Must hold or be eligible for SC Clearance
In this critical role, you\’ll design and secure AI/ML models, data pipelines, and infrastructure, while shaping AI governance frameworks and ethical AI practices. You’ll assess risks, implement mitigation strategies, and ensure compliance with regulations like GDPR and CCPA.
- Architect secure AI/ML systems and supporting infrastructure
- Conduct risk assessments focusing on AI-specific vulnerabilities
- Ensure data security and privacy compliance
- Drive ethical AI initiatives, focusing on fairness, transparency, and bias mitigation
- Provide expert guidance on AI security best practices
- Collaborate cross-functionally with technical and non-technical teams
- Stay ahead of evolving AI security threats and trends
What We’re Looking For:
- 7+ years in Cyber/Information Security
- Security certifications (CISSP, CISM, or similar)
- Deep understanding of AI/ML model development and deployment
- Familiarity with adversarial machine learning and AI governance
- Experience with data security regulations (GDPR, CCPA)
- Background in cloud security and DevSecOps highly advantageous
- Strong communication and stakeholder engagement skills
- Eligible for UK government SC clearance
This is a unique opportunity to work in a high-impact role where your expertise directly influences the resilience of major organisations. You’ll be joining a collaborative, technically elite team focused on cutting-edge offensive techniques and driving genuine security improvements.
Apply now or message us for a confidential discussion. Help shape the frontlines of cyber defense through threat-informed offensive security.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
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Industries
Computer and Network Security and IT Services and IT Consulting
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Senior AI Security Architect employer: Hamilton Barnes
Contact Detail:
Hamilton Barnes Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Security Architect
✨Tip Number 1
Network with professionals in the AI security field. Attend industry conferences, webinars, or local meetups to connect with others who share your interests. This can lead to valuable insights and potential referrals.
✨Tip Number 2
Stay updated on the latest trends and threats in AI security. Follow relevant blogs, podcasts, and social media channels to ensure you’re aware of current challenges and solutions in the field.
✨Tip Number 3
Engage in online communities focused on AI and cybersecurity. Platforms like LinkedIn or specialised forums can provide opportunities to discuss best practices and learn from experienced professionals.
✨Tip Number 4
Consider obtaining additional certifications that are relevant to AI security, such as those focusing on ethical AI or advanced machine learning. This can enhance your profile and demonstrate your commitment to the field.
We think you need these skills to ace Senior AI Security Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Cyber/Information Security, particularly focusing on AI/ML model development and deployment. Include relevant certifications like CISSP or CISM, and emphasise your familiarity with data security regulations such as GDPR and CCPA.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI security and detail how your skills align with the job requirements. Mention specific projects or experiences that demonstrate your ability to design and secure AI architectures, and your understanding of ethical AI practices.
Showcase Relevant Experience: When detailing your work history, focus on roles where you conducted risk assessments, implemented mitigation strategies, or collaborated with cross-functional teams. Use quantifiable achievements to illustrate your impact in previous positions.
Highlight Communication Skills: Given the importance of stakeholder engagement in this role, make sure to highlight your strong communication skills. Provide examples of how you've effectively communicated complex security concepts to both technical and non-technical audiences.
How to prepare for a job interview at Hamilton Barnes
✨Showcase Your AI Knowledge
Make sure to highlight your understanding of AI/ML model development and deployment. Be prepared to discuss specific projects where you've designed or secured AI architectures, as this will demonstrate your hands-on experience in the field.
✨Discuss Risk Assessment Strategies
Since the role involves assessing AI-specific vulnerabilities, come ready to talk about your approach to risk assessments. Share examples of how you've identified risks and implemented mitigation strategies in previous roles.
✨Emphasise Compliance Experience
Familiarity with data security regulations like GDPR and CCPA is crucial. Be prepared to discuss how you've ensured compliance in past projects, as this will show your ability to navigate complex regulatory environments.
✨Demonstrate Communication Skills
Strong communication and stakeholder engagement skills are essential for this role. Practice articulating complex technical concepts in a way that non-technical team members can understand, as collaboration across teams will be a key part of your job.