Senior AI Security Engineer

Experis UK; Greater London; Hybrid; GBP 111,000 - 120,000; Full time

Job summary

Experis UK is seeking a Senior AI Security Engineer in London (Hybrid) to design and embed security controls across AI-driven systems. You will lead threat modelling, risk assessments and collaboration with engineering to secure the SDLC and governance processes.

The ideal candidate has 7+ years in Information Security with hands-on experience in AI-related security, with a focus on architectural standards and secure patterns for enterprise-scale environments.

Qualifications

• At least 7 years' experience in Information Security or related field.
• Strong background in security principles, controls and architectures.

Responsibilities

• Design and develop security solutions for AI-driven and agentic systems.
• Conduct threat modelling and risk assessments for AI-enabled environments.
• Embed security controls across the SDLC and governance processes.
• Create reusable security patterns, frameworks and standards for engineering teams.
• Support secure go-to-market processes for new AI products and capabilities.
• Collaborate with engineering teams to ensure secure implementation and handover.
• Validate security hypotheses via POCs and pilot implementations.
• Support AI-enabled Information Security initiatives across the organisation.
• Coordinate with the AI Architecture team to align with strategic standards.

Job description

Role: Senior AI Security Engineer

Location: London (Hybrid)

Duration: 6 Months

Day rate: £600 - £650 Inside IR35

About The Role

We are looking for a Senior Security Engineer - AI to play a critical role in designing and embedding security controls across AI-driven and agentic systems. You will ensure secure-by-design principles are applied throughout the software development lifecycle while helping shape and deliver our reimagined Information Security vision.

Key Responsibilities

• Design and develop security solutions for AI-driven and agentic systems.
• Conduct both traditional and AI-specific threat modelling and risk assessments.
• Support the embedding of security controls throughout the end-to-end agentic SDLC, including design, testing, release and governance.
• Develop reusable security patterns, frameworks and standards for engineering teams.
• Support secure go-to-market processes for new products, services and capabilities.
• Collaborate with engineering teams to ensure successful implementation and operational handover of security solutions.
• Validate security hypotheses through the hands-on development and testing of Proofs of Concept (POCs) and pilot solutions.
• Support the scoping, build and industrialisation of AI-enabled Information Security initiatives across the organisation.
• Work closely with the Principal InfoSec AI Architect and wider Information Security Architecture team to ensure solutions align with strategic objectives and architectural standards.

Skills & Experience

We’re looking for someone with:

• At least 7 years' experience within Information Security, ideally with a hands-on background in Application Security or Infrastructure Security.
• Strong understanding of core security principles, controls and architectures.

Proven Experience In

• Threat modelling
• Secure system design
• Embedding security within the Software Development Lifecycle (SDLC)
• Exposure to AI and agentic systems, either through practical implementation or conceptual design, including:
• Security and governance for AI solutions, including identity, observability and risk management.
• Agentic architectures and patterns such as MCP, RAG, Tools, Memory and Harnesses.
• Experience working within complex, enterprise-scale environments.
• The ability to translate security requirements into practical, engineering-aligned solutions.
• Hands-on experience designing, building, testing and deploying security solutions that automate complex processes.

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