AI Principal Engineer, VP

Posted 3 Days Ago
Be an Early Applicant
3 Locations
In-Office
Senior level
Fintech • Payments • Financial Services
The Role
Design and engineer customer-centric, secure, high-performance software and ML solutions. Define architecture, roadmaps, governance and delivery approaches. Build and optimize LLM, ML and data pipelines, enforce MLOps/CI-CD standards, and integrate models and tooling across platforms while collaborating with feature teams and stakeholders.
Summary Generated by Built In

Join us as a Principal Engineer

  • 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 be playing a major role in the 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
What you'll do

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 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. 

You’ll also be:

  • 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
  • Working with the various feature teams to produce software rapidly and of high quality which adds value to the business
  • Determining the design and delivery approach for all of the platform’s software throughout its life
  • 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
The skills you'll need

You’ll come with significant experience in software engineering, software or database design and architecture, as well as experience of developing software within a DevOps and Agile framework. We’d also like to see significant and demonstrable experience of implementing programming best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance.

You’ll also need:

  • A strong background in building and optimizing pipelines for LLMs, traditional ML models, and data processing pipelines using OSS frameworks or within the AWS/GCP ecosystems
  • Strong experience in supervised or unsupervised learning, time‑series forecasting, optimization, feature engineering, model evaluation, and retraining strategies along with RAG, embedding pipelines, LLM orchestration, prompt engineering, and API integration
  • Strong proficiency with Python
  • Hands on engineering excellence in defining and enforcing standards for ML Ops, CI/CD, experiment tracking, model deployment, observability, security, and performance tuning
  • The ability to evaluate and integrate capabilities across OpenAI/Anthropic models, fine‑tuning, GPU compute, AutoML, and feature stores
  • A background of working with code repositories, bug tracking tools and wikis

Hours

45

Job Posting Closing Date:

10/07/2026

Skills Required

  • Significant experience in software engineering, software or database design and architecture
  • Experience developing software within a DevOps and Agile framework
  • Experience implementing programming best practices around scalability, automation, virtualisation, optimization, availability and performance
  • Strong background in building and optimizing pipelines for LLMs, traditional ML models, and data processing pipelines using OSS frameworks or within the AWS/GCP ecosystems
  • Strong experience in supervised or unsupervised learning, time-series forecasting, optimization, feature engineering, model evaluation, and retraining strategies
  • Experience with RAG, embedding pipelines, LLM orchestration, prompt engineering, and API integration
  • Strong proficiency with Python
  • Hands on experience defining and enforcing standards for MLOps, CI/CD, experiment tracking, model deployment, observability, security, and performance tuning
  • Ability to evaluate and integrate OpenAI/Anthropic models, fine-tuning, GPU compute, AutoML, and feature stores
  • Background working with code repositories, bug tracking tools and wikis

NatWest Group Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NatWest Group and has not been reviewed or approved by NatWest Group.

  • Flexible Benefits A flexible ValueAccount structure with pension and benefit funding allows tailoring of health, protection, lifestyle, and savings options, with unused amounts typically paid as cash. This flexibility supports personalisation of coverage, particularly in Great Britain where the framework is most detailed.
  • Retirement Support Employer-funded pension contributions are provided on top of salary in Great Britain, alongside automatic retirement enrollment and share/save programs. This creates structured long‑term wealth support as part of total reward.
  • Parental & Family Support UK policies outline extended maternity, adoption and equal partner leave on full pay with a phased return, plus paid neonatal care leave. These provisions are positioned as market‑leading and complement broader flexibility resources.

NatWest Group Insights

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The Company
HQ: Edinburgh
40,000 Employees
Year Founded: 1970

What We Do

We’re a business that understands when our customers and people succeed, our communities succeed, and our economy thrives. As part of our purpose, we’re looking at how we can drive change for our communities in enterprise, learning and climate. As one of the leading supporters of UK business, we’re prioritising enterprise as a force of change. We’re focusing on the people and communities who have traditionally faced the highest barriers to entry and figuring out ways to remove these. Learning is also key to our continued growth as a company in an ever changing and increasingly digital world. By setting a dynamic and leading learning culture, our people prosper, and our customers are given the tools to continue to improve their financial capability and confidence. One of the biggest challenges we all face in our future is climate change. That’s why we’ve put it right at the core of our purpose. We want to champion climate solutions with financing and entrepreneurial support, fully embed climate into our culture and decision making, and be climate positive by 2025. We’re committed to using our purpose to break down barriers, drive change and ultimately create a great place to work.

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