BA4 : QA AI Testing

Artificial Intelligence- QA

Purpose of the role

To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.

Accountabilities

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement.
• Designing and building data pipelines to automate data movement and processing.
• Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
• Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.
• Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs. 

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• 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 develop technical expertise in work area, acting as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

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 Barclays as a Artificial Intelligence- QA. 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 Bengaluru.

Job Details

• Job Requisition ID -0000094861
• Location Bengaluru, Maruthi Onyx - TESCO TSA
• Job Family - Data Analytics & Modelling
• Time Type - Full time
• Job Type - Permanent/Regular