Lead AI Solutions Architect - MUST HAVE SC CLEARANCE - Remote - 4 Months+

Octopus Computer Associates; Greater London; Remote; GBP 105,000 - 137,000; Full time

Benefits offered by this job

Remote work with occasional site-visi

Job summary

Octopus Computer Associates is seeking a Lead AI Solutions Architect to spearhead discovery and design of AI-enabled security solutions for a SOC environment. The role requires SC clearance and offers remote work with regular visits to a London client site.

You will shape architecture, data flows, and security considerations while guiding stakeholders through feasible AI options and delivery roadmaps. Responsibilities include assessing current SOC data environments, identifying AI use cases,

Qualifications

• SC Clearance required
• Lead the technical discovery and solution options analysis for applying AI to SOC activities
• Assess security, privacy and human-in-the-loop requirements
• Define secure target architecture and delivery roadmap

Responsibilities

• Assess existing SOC architecture (SIEM, SOAR, EDR/XDR, threat intel, case management)
• Identify AI use cases and data availability for AI augmentation
• Define integration patterns between AI services and cyber platforms
• Prioritise use cases by value, feasibility and risk
• Identify risks including hallucination and data exposure
• Develop architecture and implementation roadmap

Skills

AI architecture

Generative AI

LLMs

Cyber security

SOC technology

Data architecture

Cloud platforms

AI security

Stakeholder engagement

Technical communication

Tools

SIEM

SOAR

EDR/XDR

Job description

Lead AI Solutions Architect - MUST HAVE SC CLEARANCE - Remote - 4 months+/RATE: £655 per day inside IR35

One of our Blue Chip Clients is urgently looking for a Lead AI Solutions Architect.

Please find some details below:

Clearance required: SC Clearance.

Nationality requirement: UK/Dual Nationality

Location: Remote work with occasional visits to client site (London), currently every other Tuesday

Description and Location

AI solution Architect:

Lead the technical discovery and solution options analysis for applying AI to augment Cyber Security Operations Centre (SOC) activities. The role will assess the current SOC technology and data landscape, identify viable AI use cases, and define a secure target architecture and delivery roadmap.

Key Skills

• AI solution architecture and technical design
• Generative AI, LLMs, RAG and agentic AI patterns
• Cyber security and SOC technology understanding
• SIEM, SOAR, EDR/XDR and security tooling integration
• Data architecture, APIs and integration patterns
• Cloud and AI platform architecture
• AI security, assurance and responsible AI
• Technical options analysis and feasibility assessment
• Human-in-the-loop and AI control design
• Stakeholder engagement and technical communication

Key responsibilities

• Assess the existing SOC architecture, including SIEM, SOAR, EDR/XDR, threat intelligence, case management and security data platforms.
• Assess SOC data availability, quality and suitability for AI-enabled use cases.
• Identify opportunities for AI augmentation across areas such as alert triage, enrichment, investigation, threat intelligence, incident summarisation, detection engineering and reporting.
• Assess appropriate AI patterns, including machine learning, RAG, generative AI, assistants and agentic approaches.
• Determine where conventional automation or process improvement is more appropriate than AI.
• Define integration patterns between AI services and existing cyber platforms.
• Identify security, privacy, assurance and human-in-the-loop requirements.
• Assess risks including hallucination, prompt injection, sensitive-data exposure and inappropriate autonomous actions.
• Prioritise use cases based on value, feasibility, data availability, complexity and risk.
• Identify technical dependencies, constraints and implementation considerations.

Key outputs

• AI use-case and feasibility assessment
• Data and integration requirements
• Build vs Buy options assessment
• Security and assurance considerations
• Architecture and implementation roadmap
• Technical risks, dependencies and assumptions