Security AI Solution Architect

Security AI Solution Architect - HIRING ASAP Start date: ASAP Duration: 6-month contract Location: 1 day per week in London, 4 days remote working.Rate: £600 - £650 per day inside ir35 Purpose of the RoleTo support and deliver secure AI solutions within financial services. You will shape strategy, design future-state architecture, and deliver practical security capabilities for AI adoption, ensuring compliance with evolving regulations and maintaining a strong security posture.Key ResponsibilitiesAssess “as-is” and “to-be” security architectures for AI Platforms, AI & GENAI Delivery Roadmaps.Share Security AI & GENAI Security Learnings & Subject Matter Expertise. Shape the short- & long-term AI Security Architecture Strategy incorporating regulation (EUAI Act), standards, framework & policy priorities.Develop architectural documentation for AI security initiatives.Support the delivery of the AI Security Architecture Strategy across both internal & external stakeholders to Security.Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries.Provide hands-on delivery support where required.General “architect” responsibilities that you would also contribute toEnsure there is a current Security Architecture defined and maintained for key domains (e.g., Endpoint, Cloud, Network, etc.) which clearly outlines the security principles, requirements and capabilities required and how those are instantiated.Ensure there is an architectural vision for all projects that at minimum has a component architecture and high-level business process defined (including the product owner and operational team)Ensure architecture artifacts allow to us to quickly answer and evidence routine regulatory queries and attestations.Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries.Map security tooling deployed in the estate (including non-standard environments and non-CISO managed technologies) to the capabilities it implements (not the set of product features – what is in use and operationalised)Ensure that projects have correctly aligned scope to Cyber Excellence Programmes and technology/platform strategy.Provide input to and take ownership of relevant architectural artifacts that will be produced as part of Excellence Programme workstreams.Survey emerging threats and emerging technologies to identify opportunities for targeted innovation exercises such Proof of Value evaluations.Produce patterns which outline solutions for commonly occurring business security needs and security service consumption.Validate patterns are adopted by control domain solutions.Support Security Consultants as required on complex engagements and provide architectural artifacts such as patterns and principles where necessary.Essential Skills & ExperienceProven experience as a Security Solution ArchitectDeep understanding of AI and Generative AI technologies.Deep understanding of AI and Generative AI Security Capabilities.Knowledge of infrastructure and cloud security (AWS; exposure to Azure, GCP, and on-premises environments also valuable).Areas of Knowledge / SkillsetEmergent Technology GovernanceArtificial IntelligenceData Security within AI SystemsMachine LearningAI OperationCyber recoveryIT Infrastructure, CloudRisk and RegulationExperience in financial services environments.Ability to work across both strategic (roadmaps, future planning) and tactical (delivery, hands-on execution) levels.Personable and collaborative approach, with the ability to engage stakeholders and “roll up sleeves” when needed.Desirable SkillsExperience with regulatory compliance in AI and security, especially EU AI Act.Previous work on securing AI models and platforms (model trust, data security, usage monitoring).AI & GenAI Architecture: Design and implementation of AI factories, pipelines, and modular platforms across regulated environments.GenAI System Design and Implementation: End to end delivery of AI and GenAI systems using modern architecture techniques including LLM optimisation, RAG and Agentic design.AI Risk Management & Governance: Development of bespoke risk frameworks, taxonomies, and AI control libraries tailored to MRM, CRO, and CDO functions.Responsible & Ethical AI: Integration of RAI principles into system design, controls, audit frameworks, and enterprise AI strategies.Cyber & Resilience in AI: Embedding threat modelling, adversarial robustness, data integrity, and continuity planning into AI solution architecture.AI Enablement & Delivery: End-to-end AI lifecycle orchestration including readiness assessments, regulatory reviews, and business adoption.Emerging Technology Strategy: Digital responsibility, AI assurance, and horizon scanning for next-gen regulatory, legal, and societal risks.Experience liaising with senior stakeholders and external consultancies (PwC, Accenture, etc.