AI Principal Engineer Lead, VP

Join us as an AI Principal Engineer Lead

• This is a challenging role that will see you design and engineer software with the customer or user experience as the primary objective
• You’ll actively contribute to our architecture, design and engineering centre of excellence, collaborating to improve the bank’s overall software engineering capability
• You’ll gain valuable stakeholder exposure as you build and leverage relationships, as well as the opportunity to hone your technical talents
• We're offering this role at vice president level

As a Principal Engineer, you’ll be creating great customer outcomes via engineering and innovative solutions to existing and new challenges, and technology designs which are innovative, customer centric, high performance, secure and robust.

You’ll be working with software engineers in the production and prototyping of innovative ideas, engaging with domain and enterprise architects to validate and leverage these in wider contexts, by incorporating the relevant architectures. We’ll also look to you to design and develop software with a focus on the automation of build, test and deployment activities, while developing the discipline of software engineering across the business.

You’ll also be:

• Defining, creating and providing oversight and governance of engineering and design solutions with a focus on end-to-end automation, simplification, resilience, security, performance, scalability and reusability
• Working within a platform or feature team along with software engineers to design and engineer complex software, scripts and tools to enable the delivery of bank platforms, applications and services, acting as a point of contact for solution design considerations
• Defining and developing architecture models and roadmaps of application and software components to meet business and technical requirements, driving common usability across products and domains
• Designing, producing, testing and implementing the working code, along with applying Agile methods to the development of software with the use of DevOps techniques

Strong hands‑on experience with machine learning and modern LLM technologies. Expertise in building and operating AI pipelines: data ingestion, training, evaluation, deployment. Strong software engineering background (Python, APIs, distributed systems, cloud platforms—Azure/AWS/GCP) with a deep knowledge of MLOps tools (MLflow, Kubernetes, Terraform, feature stores, model registries).

Proficiency in vector databases, orchestration frameworks, prompt engineering, fine‑tuning. Solid understanding of data engineering concepts (ETL/ELT, streaming, data quality frameworks). Familiarity with privacy, data protection, and AI regulation and knowledge of model governance framework. Strong track record of delivering complex AI solutions into production

You’ll also need:

• Experiwnce of 12+ years in the above mentioned skills
• Ability to translate business problems into AI‑driven solutions, simplify complexity and bring structure to ambiguous problem spaces
• Experience defining KPIs, success metrics, and value measurement.
• Comfortable engaging with senior stakeholders on strategy and value cases.

Hours

Job Posting Closing Date: