Quality Engineer

NTT DATA, Inc.; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

NTT DATA seeks a Quality Engineer to join our team in a remote role based in Karnataka, India. You will lead discovery, document testing strategies, and design automation frameworks for AI-driven systems including LLM outputs and RAG pipelines.

You will mentor other QE, drive performance testing, contract testing, and integration with external adapters, while delivering regular quality status across multiple teams. This role emphasizes scalable QA practices and innovation.

Qualifications

• Lead the discovery (Current state) and Documentation that will produce deliverables: Enterprise Testing Strategy, QE Handbook, Automation Handbook, Test Enablers

Responsibilities

• Lead the discovery and documentation that will produce five deliverables: Enterprise Testing Strategy, QE Handbook, Automation Handbook, Test Enablers, and related artifacts.
• Evaluate and maintain testing strategies, approaches, tools and frameworks used by the teams.
• Design, develop and execute test automation frameworks and test automation suites.
• Provide regular quality and status reports.
• Participate in reviews of requirements, architecture and detailed design documents.
• Act as key point of contact for other Quality Engineers across multiple teams.
• Identify and resolve integration issues between application software and other components.
• Mentor and guide other Quality Engineers in QA processes and testing strategies.
• Conduct regular performance reviews and interviews.
• Develop testing strategies for AI-generated outputs: accuracy measurement, confidence calibration, and regression testing across model changes.
• Design test harnesses for non-deterministic LLM outputs with schemas and assertion patterns.
• Build integration test suites for RAG pipelines: retrieval accuracy, embedding drift, and few-shot quality validation.
• Author contract tests for external adapters to detect API changes; Pact experience is a plus.
• Design and execute performance tests against LLM inferences to validate throughput and latency.
• Develop test cases for human-in-the-loop workflows.
• Experience testing event-driven or workflow-orchestrated systems (Temporal.io, Azure Durable Functions) is a plus.
• Experience using agentic AI tools for test generation in QE workflows is a plus.

Job description

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NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization.

We are currently seeking a Quality Engineer to join our team in Remote, Karnātaka (IN-KA), India (IN).

Responsibilities and Qualifications

• Lead the discovery (Current state) and Documentation that will produce 5 deliverables:
• Enterprise Testing Strategy
• QE Handbook
• Automation Handbook
• Test Enablers
• Evaluate and maintain the testing strategies, approaches, tools and frameworks used by the teams.
• Design, develop and execute test automation frameworks and test automation suites.
• Provide regular quality and status reports.
• Participate in project-wide reviews of requirements, system architecture and detailed design documents.
• Act as key point of contact for other Quality Engineers across multiple teams.
• Identify and resolve issues that arise when integrating the application software with other software components.
• Mentor and guide other Quality Engineers on the QA Process, the testing strategy, tools and frameworks being used and assist them in growing their careers.
• Conduct regular performance reviews and conduct interviews.
• Develop testing strategies for AI-generated outputs: structured extraction accuracy measurement, confidence score calibration validation, and regression testing across model or prompt changes
• Design test harnesses for non-deterministic LLM outputs — define acceptable output schemas, boundary conditions, and automated assertion patterns that account for natural response variation
• Build integration test suites for the RAG pipeline: retrieval precision/recall measurement, embedding drift detection, and few-shot example quality validation
• Author contract tests for all external integration adapters to detect upstream API changes before they reach production; experience with consumer-driven contract testing patterns (e.g., Pact) a plus
• Design and execute performance tests against LLM inference endpoints to validate throughput, latency SLAs, and GPU utilization under concurrent engineer load
• Develop test cases for human-in-the-loop workflow paths: review queue routing logic, SME correction capture, override persistence, and RAG index update verification
• Experience testing event-driven or workflow-orchestrated systems (Temporal.io, Azure Durable Functions) a plus
• Experience using agentic AI tools for test generation (co-pilot-assisted test authoring, AI-generated test data) in daily QE workflows is a plus

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners.NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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