SME IT Security

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Job Description - Agentic AI Security Specialist Function: CSO Role: Agentic AI Security Specialist Hiring Managers: Louise Furniss / Julie Wilson Grade: E/F Location: UK / Offshore Open Positions: 2 Duration: 10 Months ________________________________________ Job Summary • Join the Cyber Security organization to secure next-generation Agentic AI, Generative AI, and autonomous AI systems across the enterprise. • Provide specialist security expertise for AI agents, Large Language Models (LLMs), and intelligent workflow orchestration platforms. • Partner with AI engineers, architects, data scientists, and security teams to embed security throughout the AI lifecycle. • Design and implement controls to protect AI systems from emerging threats, adversarial attacks, and misuse scenarios. • Support the development of AI governance frameworks, guardrails, and responsible AI security practices. • Drive secure adoption of agentic AI technologies while ensuring compliance with enterprise security and risk requirements. • Contribute to the organization\'s AI security strategy by evaluating evolving threats, technologies, and industry best practices. Key Responsibilities Perform security assessments and threat modelling for Agentic AI systems, LLM-powered applications, and autonomous workflows. • Conduct AI Red Team exercises to identify weaknesses in AI agents, models, prompts, tools, and integrated systems. • Develop and implement AI security controls, governance frameworks, and operational guardrails. • Evaluate model security risks including prompt injection, jailbreak attacks, model manipulation, and data leakage scenarios. • Collaborate with AI engineering teams to secure agent orchestration frameworks, APIs, and AI integrations. • Support security monitoring, incident response, and risk mitigation activities for AI-enabled solutions. • Provide expert guidance on secure deployment, operation, and maintenance of enterprise AI platforms. Skill Requirements Strong expertise in Agentic AI Security Engineering and AI security architecture principles. • Deep understanding of LLM security, foundation model risks, model hardening, and AI attack vectors. • Experience conducting AI Red Teaming activities, adversarial testing, threat modelling, and security assessments. • Knowledge of AI governance frameworks, responsible AI practices, policy controls, and security guardrails. • Experience working with Security Data Science techniques to identify risks, threats, and anomalous AI behaviors. • Understanding of cloud security, application security, identity management, APIs, and enterprise security architectures. • Strong analytical, communication, stakeholder management, and problem-solving skills in complex environments. ________________________________________ Technical Certification Need to Have and Good to Have Need to Have • CISSP (Certified Information Systems Security Professional) or equivalent cyber security certification. • CCSP (Certified Cloud Security Professional) or equivalent cloud security certification. • Demonstrated experience in AI Security, Cyber Security Engineering, or Security Architecture roles. • Practical knowledge of AI governance, risk management, and secure AI solution delivery. • Experience supporting enterprise AI, machine learning, or cloud-based technology environments. Good to Have • Certified Ethical Hacker (CEH). • Offensive Security Certified Professional (OSCP). • Microsoft Certified: Cybersecurity Architect Expert (SC-100). • Microsoft Azure Security Engineer Associate (AZ-500). • AWS Certified Security Specialty or Google Professional Cloud Security Engineer. • Certifications in Generative AI, Responsible AI, AI Governance, Machine Learning Security, or AI Risk Management. • GIAC certifications related to penetration testing, threat intelligence, cloud security, or security operations. Other Requirements Additional Context • This role focuses on securing Agentic AI solutions, autonomous workflows, and advanced LLM-based applications. • Candidates with experience in AI security research, AI threat modelling, and AI governance will be highly preferred. • Knowledge of emerging AI security standards, regulatory requirements, and responsible AI frameworks is advantageous. • Experience working with AI agents, tool-calling architectures, retrieval systems, and multi-agent ecosystems is beneficial. • The role offers an opportunity to shape enterprise AI security capabilities and influence the secure adoption of transformative AI technologies. Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Copyright © 2026 HCL Technologies Limited Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. 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