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.
Key Responsibilities:
Lead cross-functional engineering teams to design, build, and deliver data-intensive platforms and AI-powered solutions aligned to strategic business needs.
Oversee 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.
Act 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.
Provide strong technical direction across data architecture, cloud engineering, and AI/ML capabilities to ensure scalable, secure, and well-governed solutions.
Collaborate with product owners, data teams, and business stakeholders to prioritise backlogs, manage risks, and translate requirements into actionable technical plans.
Establish and enforce engineering best practices-including coding standards, DevOps/MLOps pipelines, testing frameworks, and documentation-to ensure high-quality delivery.
Drive innovation by evaluating emerging data and AI technologies, leading proofs of concept, and embedding responsible AI principles across all project work.
Maintain strong knowledge of big application development and demonstrate an ability to work effectively across the various tech teams of the bank.
Knowledge/XP Required:
Strong knowledge of AI techniques and approaches, with a proven track record of successfully applying AI in previous professional roles.
Expertise in AI tools and frameworks to accelerate delivery from "idea to value."
Deep understanding of Gen AI models/LLMs, with the ability to ascertain and justify which models to apply to particular financial use-cases.
Experience in following best-practice delivery and production support within a highly regulated organization.
Proven experience running fast-paced delivery teams with close alignment to business functions and stakeholder requirements.
Knowledge of Agentic Workflow/orchestration is considered a distinct advantage.
Familiarity with spec-driven development and new AI engineering practices to deliver an automated SDLC is an advantage
Randstad Technologies is acting as an Employment Business in relation to this vacancy
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