Gen AI - SDET

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. 

• Development and implementation of comprehensive test plans and strategies to validate software functionality and ensure compliance with established quality standards.
• Creation and execution automated test scripts, leveraging testing frameworks and tools to facilitate early detection of defects and quality issues.         .
• Collaboration with cross-functional teams to analyse requirements, participate in design discussions, and contribute to the development of acceptance criteria, ensuring a thorough understanding of the software being tested.
• Root cause analysis for identified defects, working closely with developers to provide detailed information and support defect resolution.
• Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth.

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

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.

Join us as a Gen AI - SDET at Barclays, responsible for supporting the successful delivery of location strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences.

To be successful as a Gen AI - SDET you should have experience with:  

• Expert-level proficiency in Large Language Models (LLM), LangChain, and LangGraph frameworks

• Advanced 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

• Strong background in:

  • Generative AI architecture and evaluation methodologies

  • Machine Learning model testing and validation

  • Natural Language Understanding (NLU) testing strategies

  • Natural Language Processing (NLP) quality assurance

• 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

• Expert-level 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 may include:

• 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

• Certifications in AWS, Azure AI, or relevant testing frameworks

• Experience with containerization (Docker, Kubernetes) for test environments

• Background in data engineering or data quality testing

You may be assessed on 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.

This role is based out of Pune.