VodafoneThree - SbD Security Architect - AI

Working hours: Full time 37.5 hours per week - Monday to Friday Working at the intersection of cyber security and emerging AI innovation, you'll help ensure that AI-enabled products, platforms, and services are designed with strong security foundations from day one—balancing innovation with risk, compliance, and resilience. 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 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