Job Title – Solution Architect/AI Manager
Location – Fenchurch Street, hybrid
Mandatory: Current Active SC Cleared Required.
Job Description
* 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.
* Strong knowledge of big application development and working across tech teams of the bank.
Knowledge/XP required
* Strong knowledge of AI techniques, and approaches, showing experience of applying AI in previous roles.
* Strong knowledge of AI tools to deliver faster idea to value.
* Strong knowledge of Gen AI models/LLMs, and able to ascertain which to apply to particular use-cases.
* Experience in following best practice delivery and production support in a highly regulated organization.
* Experience of running fast paced delivery teams with close alignment to business functions.
* Knowledge of Agentic Workflow/orchestration an advantage.
* Knowledge of spec driven development and new AI and engineering practices to deliver an automated SDLC an advantage.
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