AI Application Security Architect

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

Job summary

A cybersecurity services company is looking for an AI Application Security Architect to design security standards for AI and ML systems. In this remote role, you will conduct architecture reviews, collaborate with product teams, and integrate security into development processes. The ideal candidate has a strong background in application security and hands-on experience with AI security risks and threat modeling. Excellent communication skills are essential. Join a leading firm committed to enterprise security.

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 and patterns for AI and ML systems.
• Conduct in-depth architecture reviews and threat modeling.
• Partner with engineering and product teams to embed security into development.

Skills

Application security

Cloud security

Security architecture

Securing AI/ML systems

Threat modeling methodologies

DevSecOps practices and tools

Communication skills

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