AI Principal Engineer

Join us as an AI Principal Engineer
This is an opportunity for a driven senior engineer to take on an exciting new career challenge that combines the core skills of a software engineer with specialised knowledge in AI to build intelligent systems that can solve complex problems and drive innovation within NatWestYou''ll play a pivotal role in the Wealth AI centre of excellence (CoE) team in architecting, building and maintaining a highly extensible, scalable and maintainable platform that offers effective, reliable, and ethical AI solutions.You''ll gain valuable stakeholder exposure as you build and leverage relationships, as well as the opportunity to hone your technical talentsWhat you''ll do
As an AI Principal Engineer, you''ll help to define and drive the architectural vision for our team to build the foundational infrastructure, tools, and services that enable scalable, reliable, and efficient development and deployment of AI Assistant and Agentic solutions across the Wealth franchise and functions.
You''ll also be:
Designing, building, and maintaining scalable and robust AI infrastructure and platform servicesResponsible for the end-to-end delivery of services and features ensuring high quality and timely deliveryBuilding tools and pipelines for prompt and context engineering, fine-tuning, evaluating, and monitoring of Large Language Models (LLMs)Collaborating with Machine Learning researchers, data scientists, and business journey product teams to understand user cases and deliver reusable platform capabilitiesContributing to the development of platform UI components, libraries, and documentation to accelerate LLM adoptionWorking across the life cycle, from requirements analysis and design, through coding to testing, deployment and operationsThe skills you''ll need
You''ll come with significant experience in software engineering, software design, architecture and machine learning, as well an understanding of how your area of expertise supports our customers.
Along with an expert technical skills in software engineer, testing and deployment, you''ll also need previous experience with LLMs and generative AI APIs, such as OpenAI GPT, Claude, along with knowledge of prompt and context engineering techniques. You''ll need experience with agentic AI or model evaluation framework and have proven ability to lead engineering teams and influence strategic decisions.
You''ll also need:
Strong programming skills in Python or JavaExperience with cloud platforms such as, AWS, Azure, GCP and container orchestration, such as KubernetesExperience working with vector databases and retrieval-augmented generation (RAG) architecturesExperience building RESTful APIs for internal and external consumptionProven knowledge of web technologies and web securityExperience with building and maintaining data pipelines with messaging systems such as Kafka and Active MQDevOps knowledge including Docker, GitLab, ArgoCD, or similar tools for automation and deployment pipelinesHours35
Job Posting Closing Date:09/09/2025
Ways of Working:Remote First#J-18808-Ljbffr
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