Working Hours
Full time 37.5 hours per week – Monday to Friday
Responsibilities
- Define and evolve secure architecture patterns for AI and GenAI systems, covering platforms, APIs, data pipelines, and model environments
- Embed security into the design of AI solutions by identifying and mitigating risks such as data leakage, prompt injection, and model misuse early in the lifecycle
- Lead Secure by Design (SbD) assessments for AI initiatives, ensuring the right level of review and controls based on risk
- Collaborate with Cloud, Data, Networks, and Digital teams to ensure secure configuration of AI infrastructure, including MLOps and compute environments
- Guide programmes and product teams with clear, practical recommendations that balance security, delivery, and innovation
- Drive compliance with regulatory, legal, and internal frameworks (including GDPR, TSA, and Baseline Security Requirements)
- Contribute to AI security standards, policies, and best practices—helping shape how responsible AI is delivered at scale
- Act as a trusted subject matter expert, influencing stakeholders across local and group teams to adopt secure AI practices
- Partner with Cyber Defence, Risk, Audit, and Compliance teams to ensure seamless end-to-end AI risk management
- Support audit readiness by providing evidence, insights, and clear security narratives for AI systems
- Champion the adoption of AI security standards and patterns, improving resilience and reducing risk across the organisation
Qualifications
- You bring experience in security architecture within IT, cloud, digital, or network environments
- You have hands‑on exposure to AI/ML systems, data platforms, or AI‑enabled product design (even if you're not a developer or data scientist)
- You understand AI‑specific risks and can confidently translate them into meaningful security controls and business decisions
- You're comfortable working across complex, fast‑paced environments with multiple stakeholders and competing priorities
- You can review architectures at both high‑level and detailed design, offering clear and actionable guidance
- You have a strong grasp of secure design principles, threat modelling, risk management, and zero‑trust concepts
- You communicate with clarity and empathy, making complex AI security topics easy to understand for non‑technical audiences
- You enjoy collaborating, influencing, and building strong partnerships across teams and senior stakeholders
- You bring a forward‑thinking mindset and stay curious about evolving AI and cybersecurity trends
- You take a pragmatic, risk‑based approach—balancing protection with business needs
- Experience with GenAI, large language models, or model lifecycle and governance
- Familiarity with cloud‑native AI services (AWS, Azure, GCP) and AI security tooling
- Understanding of telecoms security frameworks and regulations
- Relevant security certifications such as CISSP, CCSP, SABSA, or AI/cloud security credentials
