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Date live:
Feb. 04, 2026
Business Area:
Customer Digital and Data
Area of Expertise:
Technology
Reference Code:
JR-0000088951
Contract:
Permanent
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Explore locationJoin Barclays as an QA - AI , you will be involved in designing, developing, and executing testing strategies to validate functionality, performance, and user experience, while collaborating with cross-functional teams to identify and resolve defects, and continuously improve testing processes and methodologies, to ensure software quality and reliability.
To be successful in this role you should have:
Understanding of Large Language Models (LLM), LangChain, and LangGraph frameworks
Python programming skills with demonstrated ability to architect scalable test automation solutions
Deep hands-on experience with Generative AI and Agentic AI implementations in production environments:
Machine Learning model testing and validation methodologies.
Natural Language Understanding (NLU) testing strategies.
Natural Language Processing (NLP) quality assurance.
Knowledge of prompt engineering and LLM evaluation frameworks (RAGAS, DeepEval, etc.)
Familiarity with vector databases for RAG testing.
Experience with performance and load testing of Gen AI applications.
Understanding of AI ethics, bias detection and responsible AI testing practices.
Comprehensive knowledge of AWS services, particularly Bedrock, Lambda and CloudWatch.
Experience architecting and implementing enterprise-scale cloud-based testing solutions.
Expert proficiency with version control systems (Git, Stash) and branching strategies.
Proven experience designing and optimizing CI/CD pipelines using Jenkins, GitLab CI, or similar tools.
Deep understanding of Agile/Scrum methodology, SDLC best practices, and DevOps culture.
Demonstrated ability to drive quality initiatives and establish testing excellence across organizations.
Proven expertise in leading cross-functional collaboration with development, product, and operations teams.
Experience establishing quality gates and governance frameworks for Gen AI applications.
Knowledge in UI, mobile and API testing methodologies.
Advanced proficiency with Behavior-Driven Development (BDD) frameworks and test design patterns.
Experience with test management and reporting tools including Jira, Xray, ALM, and TestRail.
Some other highly valued skills include:
Experience with containerization (Docker, Kubernetes) for test environments.
Background in data engineering or data quality testing.
Publications, conference presentations, or contributions to open-source testing frameworks.
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
The successful candidate will be based in Pune.
Purpose of the role
To design, develop, and execute testing strategies to validate functionality, performance, and user experience, while collaborating with cross-functional teams to identify and resolve defects, and continuously improve testing processes and methodologies, to ensure software quality and reliability.
Accountabilities
Analyst Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.