Quick overview
SeniorityMid Senior
Employment typeTemporary/Casual
Work modeRemote
LocationLondon, United Kingdom
Stakeholder ManagementGenerative AIRAG
Job description
Lead AI Solutions Architect - Active SC
Up to £655 per day - Inside IR35
London/Primarily Remote
4 months initially
We are seeking an SC Cleared Lead AI Solutions Architect to lead the assessment and design of AI capabilities within a Cyber Security Operations Centre (SOC) environment. The role will focus on identifying high-value AI use cases, assessing technical feasibility, defining secure target architectures, and producing a roadmap for AI adoption across cyber operations.
Key Requirements
Up to £655 per day - Inside IR35
London/Primarily Remote
4 months initially
We are seeking an SC Cleared Lead AI Solutions Architect to lead the assessment and design of AI capabilities within a Cyber Security Operations Centre (SOC) environment. The role will focus on identifying high-value AI use cases, assessing technical feasibility, defining secure target architectures, and producing a roadmap for AI adoption across cyber operations.
Key Requirements
- Proven experience designing enterprise-scale AI solutions, with expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI architectures.
- Strong understanding of Cyber Security Operations Centres (SOC) and associated technologies including SIEM, SOAR, EDR/XDR, threat intelligence, and security operations platforms.
- Extensive experience defining data architectures, API strategies, and integration patterns to enable AI capabilities within complex enterprise environments.
- Demonstrable expertise in cloud and AI platform architecture, with the ability to assess technical feasibility and produce scalable solution designs.
- Strong knowledge of AI security, governance, assurance, and responsible AI principles, including mitigation of risks such as hallucinations, prompt injection, and sensitive data exposure.
- Experience conducting technical discovery, architecture assessments, and options analysis, including Build vs Buy evaluations and implementation planning.
- Ability to design human-in-the-loop controls, governance frameworks, and assurance processes to support the safe adoption of AI technologies.
- Excellent stakeholder management and communication skills, with the ability to engage senior technical and business stakeholders and translate complex concepts into clear recommendations.
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