Lead AI Solutions Architect SME

Who is HelloKindred?

HelloKindred are specialists in staffing marketing, creative and technology roles, offering a range of talent solutions that can be delivered on-site, remotely or hybrid.

Our vision is to make work accessible and people’s lives better. We do this by disrupting traditional employment barriers - connecting ambitious talent to flexible opportunities with trusted brands.

Anticipated Contract End Date/Length: March 31, 2027

Work set up: Remote, with occasional client-site visits in London, currently every other Tuesday

Clearance required: SC Clearance

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

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 appropriate 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.

• Demonstrate 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 Security Operations Centre (SOC) technologies.
• Have experience with SIEM, SOAR, EDR/XDR, and security tooling integration.
• Demonstrate knowledge of data architecture, APIs, and integration patterns.
• Understand cloud architecture and AI platform design.
• Apply AI security, assurance, and responsible AI principles.
• Conduct technical options analysis and feasibility assessments.
• Design human-in-the-loop controls and appropriate AI governance mechanisms.
• 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.

Candidates must be legally authorized to live and work in the country where the position is based, without requiring employer sponsorship.

HelloKindred is committed to fair, transparent, and inclusive hiring practices. We assess candidates based on skills, experience, and role-related requirements.

We appreciate your interest in this opportunity. While we review every application carefully, only candidates selected for an interview will be contacted.

HelloKindred is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race, colour, religion, sex, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other protected characteristic under applicable law.