AI Application Security Architect

Covenant HR; Remote; GBP 70,000 - 100,000; Part time

Job summary

A premier cybersecurity services company seeks an AI Application Security Architect to design and maintain security architecture for AI and ML systems. This role involves conducting threat modeling and risk assessments and embedding security practices throughout the development lifecycle. Ideal candidates will have a strong background in application security, hands-on experience securing AI systems, and excellent communication skills. This is a contract role that allows for remote work from the United Kingdom.

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 for AI and ML systems.
• Conduct architecture reviews, threat modeling, and risk assessments.
• Embed security into the development lifecycle with product teams.
• Integrate secure practices into CI/CD pipelines.
• Guide anomaly detection and incident response for AI behaviors.
• Stay informed on industry standards related to AI security.

Skills

Application security

Cloud security

Security architecture

Securing AI/ML systems

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