AI Cyber Security Architect

We are looking for an experienced AI Cyber Security Architect with strong expertise in Application Security and SSDLC to join a cutting-edge cybersecurity team.

This role focuses on securing AI-enabled applications, LLM-based systems, AI agents, automation tools, and modern development pipelines.

The ideal candidate will play a key role in defining AI security standards, assessing risks, and guiding engineering teams in building secure, resilient, and responsible AI solutions.

Key Responsibilities

• Define and maintain security standards, guidelines, and methodologies for AI-enabled applications, LLM-based systems, AI agents, and automation tools.

• Assess AI-related security risks, including data leakage, prompt injection, insecure integrations/plugins, excessive permissions, model misuse, and sensitive data exposure.

• Review application, cloud, API, and AI solution architectures from a security perspective.

• Support secure implementation of AI and non-AI applications throughout the SSDLC.

• Design and implement practical AI security controls aligned with industry best practices and emerging AI security standards.

• Partner with development and infrastructure teams to identify, prioritize, and remediate security risks.

• Provide hands-on security guidance, secure design recommendations, and remediation plans.

• Evaluate risks related to prompts, outputs, embeddings, training data, AI-generated content, and third-party AI solutions.

Required Qualifications

• 2–3+ years of experience in Application Security, Product Security, DevSecOps, or Secure Software Engineering.

• Strong understanding of AI security risks in LLMs, AI-enabled applications, AI agents, and data-driven systems.

• Solid knowledge of SSDLC, DevSecOps practices, and security testing tools such as SAST, DAST, SCA, and Secrets Scanning.

• Experience with one or more programming languages such as Python, Java, .NET, JavaScript, or C.

• Strong understanding of modern architectures, including APIs, microservices, containers, serverless, and cloud environments.

• Familiarity with security frameworks and best practices such as OWASP Top 10, OWASP LLM Top 10, NIST, and Secure-by-Design principles.

• Strong analytical, troubleshooting, and problem-solving skills.

• Excellent communication skills with the ability to explain technical risks to both technical and non-technical stakeholders.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Security, Cyber Security, Software Engineering, or related field.

• Relevant security certifications such as CISSP, CSSLP, or equivalent.

• Experience with architecture reviews, application security assessments, code reviews, penetration testing, or threat modeling.

• Familiarity with AI security frameworks, Responsible AI, GenAI governance, model risk management, or AI risk assessment methodologies.

• Knowledge of compliance and regulatory standards such as ISO 27001, PCI DSS, GDPR, and Privacy-by-Design.