Lead AI Solutions Architect, SME
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Job Description
Lead AI Solutions Architect assessing AI use cases for a UK Cyber Security Operations Centre. Defining secure architecture, integrations, governance, and delivery roadmap.
Responsibilities:
- Lead technical discovery and solution options analysis for applying AI to augment Cyber Security Operations Centre (SOC) activities
- Assess the existing SOC technology and data landscape
- Identify viable AI use cases
- Define a secure target architecture and delivery roadmap
- Assess existing SOC architecture, including SIEM, SOAR, EDR/XDR, threat intelligence, case management, and security data platforms
- Evaluate SOC data availability, quality, and suitability for AI-enabled use cases
- Identify AI augmentation opportunities across alert triage, enrichment, investigation, threat intelligence, incident summarisation, detection engineering, and reporting
- Evaluate machine learning, retrieval-augmented generation (RAG), generative AI, assistants, and agentic approaches
- Determine when conventional automation or process improvement is more appropriate than AI
- Define integration patterns between AI services and existing cyber security platforms
- Identify security, privacy, assurance, and human-in-the-loop requirements
- Assess risks associated with hallucinations, prompt injection, sensitive-data exposure, and inappropriate autonomous actions
- Prioritise use cases based on business value, feasibility, data availability, complexity, and risk
- Identify technical dependencies, constraints, and implementation considerations
- Produce an AI use-case and feasibility assessment
- Document data and integration requirements
- Develop a build-versus-buy options assessment
- Define security and assurance considerations
- Develop the target architecture and implementation roadmap
- Document technical risks, dependencies, and assumptions
Requirements:
- Demonstrate expertise in AI solution architecture and technical design
- Knowledge of generative AI, large language models (LLMs), RAG, and agentic AI patterns
- Understanding of cyber security operations and Security Operations Centre (SOC) technologies
- Experience with SIEM, SOAR, EDR/XDR, and security tooling integration
- Knowledge of data architecture, APIs, and integration patterns
- Understanding of cloud architecture and AI platform design
- Ability to apply AI security, assurance, and responsible AI principles
- Experience conducting technical options analysis and feasibility assessments
- Ability to design human-in-the-loop controls and appropriate AI governance mechanisms
- Ability to communicate technical concepts clearly and engage effectively with stakeholders
- Meet the UK or dual-nationality requirement
- Hold or meet the requirements for SC Security Clearance
- Legally authorized to live and work in the country where the position is based without employer sponsorship
Benefits:
- Remote work setup
- Flexible opportunities
- On-site, remote, or hybrid talent solutions
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