Solution Architect/ AI Manager in EC1

Job Description

The Solution Architect & AI Manager will bridge the gap between complex data architecture and cutting-edge AI implementation. You will be responsible for the strategic delivery of the AIPX framework within the Balance Sheet Management (BSM) domain, ensuring that AI-driven insights are built on a foundation of robust, scalable, and high-performance engineering.\n\nKey Responsibilities:\n\nLead cross-functional engineering teams to design, build, and deliver data-intensive platforms and AI-powered solutions aligned to strategic business needs.\n\nOversee end-to-end delivery across the data and AI lifecycle for Balance Sheet Management (BSM)-from data ingestion and modelling through to ML model development, deployment, and ongoing monitoring.\n\nAct as the AIPX Delivery Manager by leading the design and build of robust data pipelines and the creation of high-quality derived data products, ensuring alignment with AIPX architecture, performance standards, and business consumption needs.\n\nProvide strong technical direction across data architecture, cloud engineering, and AI/ML capabilities to ensure scalable, secure, and well-governed solutions.\n\nCollaborate with product owners, data teams, and business stakeholders to prioritise backlogs, manage risks, and translate requirements into actionable technical plans.\n\nEstablish and enforce engineering best practices-including coding standards, DevOps/MLOps pipelines, testing frameworks, and documentation-to ensure high-quality delivery.\n\nDrive innovation by evaluating emerging data and AI technologies, leading proofs of concept, and embedding responsible AI principles across all project work.\n\nMaintain strong knowledge of big application development and demonstrate an ability to work effectively across the various tech teams of the bank.\n\nKnowledge/XP Required:\n\nStrong knowledge of AI techniques and approaches, with a proven track record of successfully applying AI in previous professional roles.\n\nExpertise in AI tools and frameworks to accelerate delivery from "idea to value."\n\nDeep understanding of Gen AI models/LLMs, with the ability to ascertain and justify which models to apply to particular financial use-cases.\n\nExperience in following best-practice delivery and production support within a highly regulated organization.\n\nProven experience running fast-paced delivery teams with close alignment to business functions and stakeholder requirements.\n\nKnowledge of Agentic Workflow/orchestration is considered a distinct advantage.\n\nFamiliarity with spec-driven development and new AI engineering practices to deliver an automated SDLC is an advantage\n\nRandstad Technologies is acting as an Employment Business in relation to this vacancy