Salary: £42,000 - 75,000 per year Requirements: We require strong knowledge of AI techniques and approaches, with a proven track record of successfully applying AI in previous professional roles. We require expertise in AI tools and frameworks that accelerate delivery from idea to value. We require deep understanding of Gen AI models and LLMs, with the ability to identify and justify the right models for specific financial use cases. We require experience delivering best-practice solutions and production support within a highly regulated organization. We require proven experience leading fast-paced delivery teams in close alignment with business functions and stakeholder requirements. Knowledge of agentic workflow and orchestration is a distinct advantage. Familiarity with spec-driven development and emerging AI engineering practices to support an automated SDLC is an advantage. We require strong knowledge of big application development and the ability to work effectively across multiple technology teams. We are looking for someone with a strong background in data architecture, cloud engineering, and AI/ML capabilities. Experience leading cross-functional engineering teams is required. A relevant degree or equivalent professional experience is expected. Responsibilities: We lead cross-functional engineering teams to design, build, and deliver data-intensive platforms and AI-powered solutions aligned to strategic business needs. We oversee end-to-end delivery across the data and AI lifecycle for Balance Sheet Management, from data ingestion and modelling through to ML model development, deployment, and ongoing monitoring. We act as the AIPX Delivery Manager by leading the design and build of robust data pipelines and high-quality derived data products. We provide strong technical direction across data architecture, cloud engineering, and AI/ML capabilities to ensure scalable, secure, and well-governed solutions. We collaborate with product owners, data teams, and business stakeholders to prioritise backlogs, manage risks, and translate requirements into actionable technical plans. We establish and enforce engineering best practices, including coding standards, DevOps/MLOps pipelines, testing frameworks, and documentation. We drive innovation by evaluating emerging data and AI technologies, leading proofs of concept, and embedding responsible AI principles across project work. We maintain strong knowledge of big application development and work effectively across the various technology teams of the bank. Technologies: AI Architect Cloud DevOps Support XP More: We are seeking a Solution Architect & AI Manager to bridge the gap between complex data architecture and cutting-edge AI implementation. In this role, we will deliver the AIPX framework within the Balance Sheet Management domain, ensuring AI-driven insights are built on robust, scalable, high-performance engineering. We work in a highly regulated banking environment and value strong governance, technical excellence, and responsible AI. Randstad Technologies is acting as an Employment Business in relation to this vacancy. last updated 24 week of 2026