Key Responsibilities
- Provide specialist security expertise across Agentic AI and LLM-based solutions.
- Assess and address security risks associated with AI models and AI-enabled systems.
- Support LLM and model security activities throughout the delivery life cycle.
- Perform and contribute to AI red teaming to identify weaknesses, attack paths and security risks.
- Support the definition and implementation of AI governance, security guardrails and controls.
- Apply security data science techniques to help identify, assess and manage AI-related security risks.
- Work closely with client stakeholders, technology teams and security teams to provide clear and credible security guidance.
- Collaborate effectively across cross-functional and geographically dispersed teams.
- Apply strong problem-solving skills to resolve complex security challenges and support continuous improvement.
Key Requirements
- Strong experience in Agentic AI security engineering.
- Strong knowledge of LLM security and model security.
- Experience of AI red teaming.
- Knowledge of AI governance and guardrails.
- Experience or strong knowledge of security data science.
- Excellent stakeholder management and client-facing skills, with the ability to build strong professional relationships.
- Strong team player with experience working across cross-functional and geographically dispersed teams.
- Strong problem-solving and conflict-resolution capabilities.
- High level of professionalism, integrity and accountability.
- Adaptable and resilient, with a customer-focused mindset and commitment to continuous improvement.
Duration: 12 Months
Location: Hybrid - 3 days per week in the office
Start Date: 01/11/2026
Positions: 2