Lead AI Solutions Architect SME

HelloKindred

8d • Remote

About The Position

HelloKindred is recruiting a Lead AI Solutions Architect SME for a client in the Information Technology and Services industry. The role will lead technical discovery and solution-options analysis for applying AI to augment Cyber Security Operations Centre (SOC) activities. It will assess the existing SOC technology and data landscape, identify viable AI use cases, and define a secure target architecture and delivery roadmap.

The position is remote, with occasional client-site visits in London; visits are currently every other Tuesday. SC Security Clearance is required. The anticipated contract end date is March 31, 2027.

Requirements

• Demonstrated 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.
• Must meet the UK or dual-nationality requirement.
• Must hold or meet the requirements for SC Security Clearance.
• Must be legally authorized to live and work in the country where the position is based without employer sponsorship.

Responsibilities

• Assess the 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 opportunities for AI augmentation across alert triage, enrichment, investigation, threat intelligence, incident summarisation, detection engineering, and reporting.
• Evaluate AI patterns, including 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.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed