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You’ll play a key role in shaping how secure, responsible AI is built and delivered across VodafoneThree UK’s technology landscape. 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.
Job Responsibility
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
Requirements
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
Nice to have
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