AI Application Security Architect

AI Application Security Architect

Posted 3 days ago by Covenant HR

Negotiable
Undetermined
Remote
United Kingdom

Summary: The AI Application Security Architect role involves designing and maintaining security architecture standards for AI and ML systems within a premier cybersecurity services company. The position requires collaboration with various teams to integrate security practices throughout the development lifecycle and ensure compliance with organizational standards. The role is contract-based and fully remote within the United Kingdom.

Key Responsibilities:

  • 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 behaviors
  • 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

Key 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

Salary (Rate): undetermined

City: undetermined

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

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.

Job Title - AI Application Security Architect

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 behaviors
  • 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