AI Cyber Security Architect

Company Description

Peer Security is a leader in cybersecurity innovation, specializing in web application, mobile, thick client, and infrastructure penetration testing. Founded by renowned industry researchers, the company is dedicated to safeguarding businesses’ digital assets against evolving cyber threats. Using advanced methodologies and tools, Peer Security delivers tailored solutions designed to meet clients' unique security needs while ensuring resilience and protection. Known for its commitment to excellence, the organization provides end-to-end security services, from assessment to post-engagement support, with a collaborative and customer-focused approach. Peer Security strives to be a trusted global partner, driving advancements in cybersecurity to secure the digital landscape of the future.

Role Description

We are looking for an AI Cyber Security Architect to join our consulting team and help organizations securely adopt and govern AI technologies.

This role focuses on assessing cybersecurity risks associated with AI initiatives, advising clients on secure AI adoption, conducting AI security reviews, and developing practical security strategies for modern AI environments.

The ideal candidate combines strong cybersecurity expertise with a deep understanding of AI technologies and emerging threats. They will work directly with clients, security leaders, architects, and engineering teams to identify risks, develop mitigation strategies, and establish security best practices for AI-driven systems.

The position requires a proactive consultant who can bridge the gap between cybersecurity, risk management, governance, and rapidly evolving AI technologies.

Qualifications

• Strong background in Cyber Security, Information Security, Risk Management, or Security Consulting.
• Deep understanding of cybersecurity principles, threat modeling, risk assessments, and security architecture.
• Knowledge of Generative AI, Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and modern AI ecosystems.
• Familiarity with AI-specific security risks, including Prompt Injection, Data Poisoning, Model Theft, Data Leakage, Supply Chain Attacks, and Agent Exploitation.
• Experience conducting security assessments, risk evaluations, architecture reviews, or consulting engagements.
• Ability to translate complex technical risks into clear business impact and actionable recommendations.
• Strong presentation and communication skills, including the ability to engage with CISOs, security teams, architects, and executive stakeholders.
• Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent practical experience.
• Relevant certifications (e.g., CISSP, CCSP, Security+, CISM, CRISC) are an advantage.

Requirements

• 3+ years of experience in Cyber Security, Information Security, Security Consulting, or related fields.
• Hands-on experience performing risk assessments, threat modeling, or security reviews.
• Strong understanding of AI security threats and attack techniques.
• Familiarity with frameworks and standards such as:
• OWASP Top 10 for LLM Applications
• NIST AI Risk Management Framework (AI RMF)
• MITRE ATLAS
• ISO 42001 (Advantage)
• Experience working with cloud environments and SaaS architectures.
• Ability to assess new technologies and identify associated security risks.
• Proven experience leading client-facing engagements and delivering professional recommendations.
• Strong stakeholder management skills, with the ability to communicate effectively with both technical and non-technical audiences.
• Fluent English (spoken and written) - MUST.

Nice to Have

• Experience conducting AI Security Assessments or AI Governance reviews.
• Knowledge of Agentic AI security and MCP security concepts.
• Background in penetration testing, application security, or cloud security.
• Experience working with enterprise AI adoption programs.