AI Application Security Architect

Covenant HR; Remote; GBP 70,000 - 90,000; Part time

Job summary

A top cybersecurity services firm is seeking an AI Application Security Architect to design security architecture for AI and ML systems. The role involves conducting threat modeling, collaborating with product teams, and integrating security into the development lifecycle. The ideal candidate should have a strong background in application and cloud security, as well as hands-on experience securing AI/ML systems. This is a remote role based in the United Kingdom, offering a contract position with opportunities to engage in advanced security practices.

Qualifications

• Strong background in application security, cloud security, or security architecture.
• Hands-on experience with securing AI / ML systems, including LLMs and APIs.
• Deep familiarity with AI security risks and threat modeling methodologies.

Responsibilities

• Design and maintain security architecture standards for AI and ML systems.
• Conduct architecture reviews and threat modeling.
• Collaborate with teams to embed security into the development lifecycle.

Skills

Application security

Cloud security

Security architecture

AI / ML systems security

Threat modeling

DevSecOps practices

Excellent communication

Job description

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