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PA Consulting

Global innovation and transformation consultancy

AI Security Consultant

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeManchester, UK

About the Job

Requirements

  • Strong background in cyber security consulting, security architecture, risk management or security operations.
  • Good understanding of common security domains, including 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 both 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 such as prompt injection, sensitive information disclosure, excessive agency, insecure output handling, model/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.
  • Applicants must be British citizens or have been resident in the UK for the past 5 years, as a prerequisite for security clearance.
  • All employees must undergo background checks and 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 across 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, such as alert triage, threat intelligence enrichment, incident summarisation, detection engineering, reporting, vulnerability prioritisation and control testing.
  • Support the 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 introducing unacceptable risk, over-reliance or loss of accountability.
  • Develop practical playbooks, guardrails and operating models for the responsible use of AI 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 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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