Principal Engineer - AI (UCX Platform), VP

NatWest Group; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

NatWest Group in Bengaluru, India, seeks a Principal Engineer to design and engineer software with customer experience at the core, leading architecture and engineering excellence.

You will shape platform capabilities, drive automation, DevOps and Agile practices, and collaborate with domain and enterprise architects to deliver secure, scalable solutions.

This senior role emphasizes AI methods, AWS, RAG, vector databases, and tool-calling design to create resilient, high-performance software.

Qualifications

• Extensive software engineering, architecture design and DevOps experience.
• Strong knowledge of market trends, tools and scalable automation.
• Experience with Agile development and performance optimization.

Responsibilities

• Define and govern end-to-end automation, resilience, security and performance.
• Work with platform teams to design and engineer complex software and services.
• Develop architecture roadmaps to meet business and technical needs.
• Write code and apply Agile/DevOps practices in development.

Skills

Python

Java backend

DevOps

Architecture design

Agile

AI/Gen AI

AI safety/guardrails

Tool-calling design

Tools

AWS services

Vector databases

RAG

Job description

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 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 role

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 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

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.

Along with an expert understanding of the latest market trends, technologies and tools, you’ll bring significant and demonstrable experience of implementing programming best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance.

You’ll also need:

• Strong Python skills or Java back-end engineering experience
• Generative and agentic AI using AWS services
• Retrieval-augmented generation (RAG) and vector databases
• Long-term and short-term agent memory configuration and tuning
• Context management and response-suppression techniques
• AI guardrail implementation and enforcement
• Tool-calling design and implementation

• Agent logging, monitoring and auditability