Lead AI Solutions Architect SME

Posted Yesterday
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Hiring Remotely in London, England, GBR
In-Office or Remote
Senior level
Agency • Digital Media • Professional Services • Design
The Role
Lead technical discovery and solution architecture for applying AI to cybersecurity SOC operations. Assess existing SOC platforms and data, identify and prioritize AI use cases, evaluate AI and automation patterns, define secure integrations and human-in-the-loop controls, and produce feasibility, build-versus-buy, target architecture, risk, assurance, and implementation roadmap documentation.
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Company Description

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.

Job Description

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.

Qualifications

  • 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.

Additional Information

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.

Skills Required

  • Expertise in AI solution architecture and technical design
  • Knowledge of generative AI, large language models, retrieval-augmented generation, and agentic AI patterns
  • Understanding of cybersecurity operations and Security Operations Centre 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
  • Knowledge of AI security, assurance, and responsible AI principles
  • Experience conducting technical options analysis and feasibility assessments
  • Ability to design human-in-the-loop controls and AI governance mechanisms
  • Ability to communicate technical concepts clearly and engage stakeholders effectively
  • Legal authorization to live and work in the country without employer sponsorship
  • UK or dual-nationality eligibility
  • Hold or meet the requirements for SC Security Clearance
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The Company
300 Employees
Year Founded: 1998

What We Do

HelloKindred is a talent recruitment and staffing agency that connects companies with marketing, creative, and digital talent for short and long-term contracts.

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