5 дней назад
AI Security Consultant
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Security Consultant (AI/Cybersecurity): Assessing and securing AI-enabled applications, LLM integrations, agentic systems, and broader technology environments with an accent on threat modelling, security controls, governance, and AI-enabled security operations. Focus on designing guardrails, analysing prompt injection and data leakage risks, and building accountable AI-assisted workflows for detection, response, and risk management.
Location: Manchester, United Kingdom; hybrid working with attendance in the office or on client site at least 2 days per week
Company
is a global consulting firm combining strategy, design, technology, science, engineering, and innovation expertise across multiple industries.
What you will do
- Conduct cybersecurity assessments across cloud environments, applications, networks, identity platforms, and operational processes.
- Review security architectures and design practical controls for access management, data protection, monitoring, vulnerability management, incident response, and third-party risk.
- Assess AI-enabled applications, LLM integrations, AI agents, autonomous workflows, and model-connected business processes.
- Threat model agentic systems and advise on permission boundaries, sandboxing, auditability, validation, and human oversight.
- Identify safe uses of AI in security operations, including alert triage, threat intelligence, detection engineering, reporting, and vulnerability prioritisation.
- Develop AI security guardrails, playbooks, governance processes, and operating models for SOC, GRC, vulnerability management, and incident response.
Requirements
- Strong background in cybersecurity consulting, security architecture, risk management, or security operations.
- Knowledge of identity and access management, cloud security, application security, data protection, vulnerability management, incident response, and security monitoring.
- Experience assessing technical environments, producing prioritised recommendations, and communicating with technical and senior business stakeholders.
- Understanding of AI, generative AI, or LLM-enabled systems and their interaction with data, prompts, APIs, tools, and users.
- Ability to threat model complex systems and explain emerging technical risks in clear, practical terms.
- Applicants must meet UK residency and security-clearance eligibility requirements; some roles require British citizenship or at least 5 years of continuous UK residency.
Nice to have
- Experience with AI governance, responsible AI, model risk management, or AI assurance.
- Familiarity with NIST AI RMF, OWASP guidance, MITRE ATLAS, ISO 27001, NIST CSF, CIS Controls, or cloud security frameworks.
- Experience with SOC operations, SIEM/SOAR, detection engineering, threat intelligence, or incident response.
- Knowledge of retrieval-augmented generation, model APIs, vector databases, agent frameworks, or automation tools.
- Relevant cybersecurity, cloud security, AI, or security governance certifications.
Culture & Benefits
- Collaborative, inclusive environment with interdisciplinary teams and peer-level knowledge sharing.
- Technical career progression, coaching, mentoring, and a learning budget for courses and certifications.
- Private healthcare for employees and families, plus health and lifestyle benefits.
- 25 days of annual leave, an additional Christmas Eve half day, and the option to buy 5 more days.
- Company pension, performance-based bonus, PA share ownership, and tax-efficient benefits.
Hiring process
- Recruiter call to discuss the application, role, and company.
- Two 60-minute competency or technical interviews.
- Final 60-minute meeting with a PA leader, including a mini case study and client-centricity discussion.
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