Principal Engineer - AI (UCX Platform), VP

Royal Bank of Scotland; Bengaluru; Sur place; INR 5 500 000 - 9 000 000; Plein temps

Résumé du poste

Royal Bank of Scotland in Bengaluru seeks a Principal Engineer at vice president level to design and engineer software with customer experience as the primary objective.

You will collaborate with architecture and engineering teams to drive end-to-end automation, security, and high-performance banking platforms and services, applying DevOps practices across the stack.

Qualifications

• Significant software engineering and architecture experience.
• Experience with DevOps and Agile methods.
• Experience building scalable, secure software solutions.
• Knowledge of AI/ML tooling and enterprise integration.

Responsabilités

• Define and govern engineering and design solutions with end-to-end automation, resilience, security, performance.
• Work with platform teams to design and engineer complex software delivering bank platforms and services.
• Develop architecture models and roadmaps ensuring usability across products and domains.
• Design, develop and test code, applying Agile and DevOps practices.

Connaissances

Python/Java

Generative AI

RAG

Agent memory

AI guardrails

Tool-calling

Outils

AWS services

Vector databases

DevOps tooling

Description du poste

Join us as a Principal Engineer

We're offering this role at vice president role

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

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

Hours 45

Job Posting Closing Date: 25/10/2026