Lead AI Solutions Architect, SME

Posted Oct 27

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Lead the exploration of technical options and analysis for implementing AI to enhance Cyber Security Operations Centre (SOC) activities.

• Evaluate the current SOC technology and data landscape.

• Identify potential AI use cases.

• Establish a secure target architecture along with a delivery roadmap.

• Review the existing SOC architecture, including SIEM, SOAR, EDR/XDR, threat intelligence, case management, and security data platforms.

• Assess the availability, quality, and suitability of SOC data for AI-enabled applications.

• Discover AI enhancement opportunities in areas such as alert triage, enrichment, investigation, threat intelligence, incident summarization, detection engineering, and reporting.

• Analyze machine learning, retrieval-augmented generation (RAG), generative AI, assistants, and agentic methodologies.

• Determine when traditional automation or process enhancements are more suitable than AI.

• Define integration patterns between AI services and current cyber security platforms.

• Identify requirements related to security, privacy, assurance, and human-in-the-loop processes.

• Evaluate risks related to hallucinations, prompt injection, sensitive data exposure, and inappropriate autonomous actions.

• Prioritize use cases based on business value, feasibility, data availability, complexity, and risk.

• Identify technical dependencies, constraints, and implementation considerations.

• Produce an assessment of AI use cases and their feasibility.

• Document data and integration requirements.

• Conduct a build-versus-buy options evaluation.

• Define considerations for security and assurance.

• Develop the target architecture and implementation roadmap.

• Document technical risks, dependencies, and assumptions.


⛳️ Requirements

• Exhibit expertise in AI solution architecture and technical design.

• Possess knowledge of generative AI, large language models (LLMs), RAG, and agentic AI patterns.

• Understand cyber security operations and technologies related to Security Operations Centres (SOC).

• Have experience with SIEM, SOAR, EDR/XDR, and the integration of security tools.

• Knowledgeable in data architecture, APIs, and integration methodologies.

• Familiar with cloud architecture and AI platform design.

• Capable of applying AI security, assurance, and responsible AI principles.

• Experienced in conducting technical options analysis and feasibility assessments.

• Skilled in designing human-in-the-loop controls and appropriate AI governance mechanisms.

• Able to communicate technical concepts clearly and engage effectively with stakeholders.

• Must meet the UK or dual-nationality requirement.

• Must hold or meet the criteria 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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