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SME - IT security

HCLTech
Leeds, GBR
Onsite
Discovered 3 weeks ago
Agentic AI security engineeringAI security architectureLLM security and foundation model risksAI red teamingAdversarial testingThreat modelling and security assessments

Full Job Posting

Role overview

Secure next-generation Agentic AI, generative AI, and autonomous AI systems across the enterprise.

Provide specialist security expertise for AI agents, large language models, and intelligent workflow orchestration.

Partner with engineering, architecture, data science, and security teams to embed security throughout the AI lifecycle.

Key responsibilities

  • Assess and threat-model Agentic AI systems, LLM applications, and autonomous workflows; conduct AI red-team exercises across agents, models, prompts, tools, and integrations.
  • Develop security controls, governance frameworks, and operational guardrails; evaluate prompt injection, jailbreak, model manipulation, and data leakage risks.
  • Secure agent orchestration frameworks, APIs, and AI integrations in collaboration with AI engineering teams.
  • Support security monitoring, incident response, and risk mitigation for AI-enabled solutions.
  • Advise on secure deployment, operation, and maintenance of enterprise AI platforms; contribute to AI security strategy and secure adoption.

Required qualifications

  • Strong expertise in Agentic AI Security Engineering and AI security architecture; deep understanding of LLM security, foundation model risks, hardening, and AI attack vectors.
  • Experience in AI red teaming, adversarial testing, threat modelling, and security assessments.
  • Knowledge of AI governance, responsible AI, policy controls, security guardrails, and Security Data Science techniques.
  • Understanding of cloud security, application security, identity management, APIs, and enterprise security architectures.
  • CISSP or equivalent cybersecurity certification and CCSP or equivalent cloud security certification are required.
  • Demonstrated AI Security, Cyber Security Engineering, or Security Architecture experience, including enterprise AI, machine learning, or cloud environments.

Additional and preferred qualifications

  • CEH, OSCP, Microsoft SC-100, Microsoft AZ-500, AWS or Google cloud security certifications are good to have.
  • Related GIAC, generative AI, responsible AI, AI governance, machine learning security, or AI risk management certifications are good to have.
  • Experience with AI agents, tool-calling architectures, retrieval systems, and multi-agent ecosystems is beneficial.
  • Knowledge of emerging AI security standards, regulatory requirements, and responsible AI frameworks is advantageous.

Role details

  • The description lists the role location as UK / Offshore and gives a duration of 10 months.

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