Negotiable
Inside
Remote
Greater London, England, United Kingdom
Summary: The Cybersecurity Specialist role focuses on ensuring the secure adoption of advanced AI technologies within enterprise environments. The position requires hands-on leadership and technical guidance to implement AI-driven solutions securely and compliantly. The successful candidate will act as a Subject Matter Expert in cybersecurity and AI security, collaborating with various teams to enhance application security. This role is fully remote and classified as inside IR35, requiring work through an umbrella company.
Key Responsibilities:
- Lead the secure adoption of AI platforms and foundation models, including AWS Bedrock, Azure OpenAI, Microsoft 365, and related technologies.
- Provide expert guidance on model security, secure deployment patterns, guardrails and safety controls, integration architectures, observability and monitoring, evaluation techniques, and safe operationalization.
- Translate platform-specific risks, limitations, and best practices into actionable engineering patterns and governance controls.
- Act as a Subject Matter Expert (SME) in cybersecurity and AI security across multiple teams.
- Lead and support team decision-making, ensuring alignment with security standards and organizational goals.
- Collaborate cross-functionally with engineering, architecture, and business teams to implement secure solutions.
- Develop and implement innovative strategies to enhance application and AI security.
- Conduct regular security assessments, audits, and vulnerability analyses.
- Provide training, mentorship, and guidance on application security and AI security best practices.
- Stay current with emerging threats, technologies, and trends in cybersecurity and AI.
- Experience with Agent-to-Agent (A2A) protocols and frameworks.
- Strong understanding of agentic system design and security implications.
- Deep knowledge of threats in agentic AI environments.
- Ability to design and implement technical solutions to mitigate these risks.
- Knowledge of third-party tools and native controls for AI risk mitigation.
- Experience designing secure data handling strategies in AI/agentic systems.
Key Skills:
- Deep expertise in AI platform security and application security.
- Hands-on leadership and technical guidance.
- Strong understanding of cybersecurity and AI security best practices.
- Experience with AI technologies, including generative and agentic AI.
- Knowledge of security assessments, audits, and vulnerability analyses.
- Ability to collaborate cross-functionally with engineering and business teams.
- Experience with Agent-to-Agent (A2A) protocols and frameworks.
- Understanding of agentic system design and security implications.
- Knowledge of third-party tools for AI risk mitigation.
- Experience in designing secure data handling strategies in AI systems.
Salary (Rate): undetermined
City: Greater London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
We are seeking a highly skilled Cybersecurity Specialist with deep expertise in AI platform security and application security. This role focuses on enabling secure adoption of advanced AI technologies (including generative and agentic AI) across enterprise environments. The successful candidate will provide hands-on leadership, technical guidance, and strategic direction to ensure secure, scalable, and compliant implementation of AI-driven solutions.
Key Responsibilities:
- Lead the secure adoption of AI platforms and foundation models, including AWS Bedrock, Azure OpenAI, Microsoft 365, and related technologies.
- Provide expert guidance on: Model security Secure deployment patterns Guardrails and safety controls Integration architectures Observability and monitoring Evaluation techniques and safe operationalization
- Translate platform-specific risks, limitations, and best practices into actionable engineering patterns and governance controls.
- Act as a Subject Matter Expert (SME) in cybersecurity and AI security across multiple teams.
- Lead and support team decision-making, ensuring alignment with security standards and organizational goals.
- Collaborate cross-functionally with engineering, architecture, and business teams to implement secure solutions.
- Develop and implement innovative strategies to enhance application and AI security.
- Conduct regular security assessments, audits, and vulnerability analyses.
- Provide training, mentorship, and guidance on application security and AI security best practices.
- Stay current with emerging threats, technologies, and trends in cybersecurity and AI.
- Experience with Agent-to-Agent (A2A) protocols and frameworks Strong understanding of agentic system design and security implications Deep knowledge of threats in agentic AI environments Ability to design and implement technical solutions to mitigate these risks Knowledge of third-party tools and native controls for AI risk mitigation Experience designing secure data handling strategies in AI/agentic systems
This will be a fully remote inside IR35 Contract role working via Umbrella Company so you must be able to work on this basis.