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PA Consulting

Global innovation and transformation consultancy

AI Security Consultant

Security Governance, Risk & ComplianceConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • Strong background in cyber security consulting, security architecture, risk management, or security operations.
  • Good understanding of identity and access management, cloud security, application security, data protection, vulnerability management, incident response, and security monitoring.
  • Ability to assess technical environments and produce clear, prioritised recommendations.
  • Experience engaging with technical teams and senior business stakeholders.
  • Understanding of AI, generative AI, or large language model-enabled systems, including how AI applications interact with data, prompts, application programming interfaces, tools, and users.
  • Awareness of emerging AI security risks, including prompt injection, sensitive information disclosure, excessive agency, insecure output handling, model or data poisoning, vector or embedding weaknesses, and AI supply chain risk.
  • Ability to perform threat modelling for complex systems, including AI-assisted or agentic workflows.
  • Strong written and verbal communication skills, with the ability to explain emerging technical risks in simple, practical terms.
  • Meet the applicable UK security-clearance residency prerequisite: British citizenship or five years of UK residence. Some UK roles require higher levels of National Security Vetting; all PA employees undergo background checks and must achieve the Baseline Personnel Security Standard.

Responsibilities

  • Conduct cyber security assessments across technology estates, cloud environments, applications, networks, identity platforms, and operational processes.
  • Review security architectures and provide pragmatic recommendations aligned to business risk.
  • Support the design and implementation of security controls for access management, data protection, logging and monitoring, vulnerability management, incident response, and third-party risk.
  • Help clients interpret security requirements, assess control maturity, and develop actionable improvement roadmaps.
  • Translate technical findings into clear, business-relevant advice for senior stakeholders.
  • Assess security risks associated with AI-enabled applications, large language model integrations, AI agents, autonomous workflows, and model-connected business processes.
  • Review AI system designs for risks such as prompt injection, excessive agency, data leakage, insecure tool use, unsafe output handling, model supply chain exposure, and weak human oversight.
  • Support threat modelling for agentic systems, including how agents access tools, call application programming interfaces, retrieve data, make decisions, and trigger actions.
  • Advise on secure patterns for AI application development, including permission boundaries, identity controls, sandboxing, auditability, input/output validation, and human-in-the-loop controls.
  • Help clients establish governance and assurance processes for AI systems across the lifecycle, from experimentation through production deployment.
  • Identify opportunities to use AI safely to improve cyber security operations, including alert triage, threat intelligence enrichment, incident summarisation, detection engineering, reporting, vulnerability prioritisation, and control testing.
  • Support evaluation and adoption of AI-enabled security tools, ensuring appropriate security, privacy, governance, and operational safeguards are in place.
  • Help security teams design workflows where AI augments analysts without unacceptable risk, over-reliance, or loss of accountability.
  • Develop practical playbooks, guardrails, and operating models for responsible AI use within security operations centres, governance, risk and compliance, vulnerability management, and incident response functions.
  • Work with clients to measure the effectiveness, limitations, and risks of AI-assisted security processes.

Desired Qualifications

  • Experience with AI governance, responsible AI, model risk management, or AI assurance.
  • Familiarity with frameworks and guidance such as the NIST AI Risk Management Framework, OWASP Top 10 for LLM Applications, OWASP Agentic AI guidance, MITRE ATLAS, ISO 27001, NIST Cybersecurity Framework, CIS Controls, or cloud security frameworks.
  • Experience with security operations centre operations, security information and event management/security orchestration, automation and response platforms, detection engineering, threat intelligence, or incident response.
  • Knowledge of AI-enabled development platforms, agent frameworks, retrieval-augmented generation, model application programming interfaces, vector databases, or automation/orchestration tools.
  • Experience designing guardrails for autonomous systems, including least privilege, approval workflows, action limits, logging, monitoring, and rollback mechanisms.
  • Relevant certifications such as CISSP, CISM, CCSP, GIAC, ISO 27001 Lead Implementer/Auditor, cloud security certifications, or AI/security-focused training.

About the Company

PA Consulting

Global innovation and transformation consultancy

PA Consulting provides end-to-end innovation and transformation consulting services worldwide. It partners with leaders across industries to translate insights into practical strategies and actions that drive tangible results for clients, communities, and society. The firm’s approach combines advisory insight with implementation support to identify new opportunities and deliver long-term impact. Working across diverse sectors in the UK, Ireland, US, Nordics, and Netherlands, PA Consulting differentiates itself by pairing deep industry knowledge with hands-on delivery, focusing on real-world outcomes through long-term partnerships and measurable change, rather than theoretical ideas alone.

Company size
5,001-10,000
Company stage
Grant
Total funding
$650K
Headquarters
London, United Kingdom
Founded
1980

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