Inclusion without Exception

Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.

TCS has been serving the Canadian marketplace for more than 35 years and today is the technology partner of choice for many of the country's leading organizations. As one of the largest IT services providers in Canada and globally, TCS is aiming to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.

Rooted in the heritage and values of the Tata Group, TCS is focused on creating long-term value for its clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top Employer by the Top Employers Institute, including a recent top ranking at the country level.

TCS also sponsors 14 of the world's most prestigious marathons and endurance events, including the TCS Toronto Waterfront Marathon, reflecting its commitment to health, sustainability, and community empowerment.

Roles and Responsibilities:

- Partner with DevOps, Development, Product, and QE teams to design and execute exploratory, automated, and AI-focused tests that ensure product quality.
- Define quality strategies, test plans, test cases, and test data for functional, integration, system, regression, API, database, and acceptance testing.
- Design, develop, and maintain scalable test automation frameworks using Java, Python, or Groovy.
- Build automated tests for AI-enabled features, including prompt behavior, response accuracy, hallucination risks, safety, reliability, latency, and regression coverage.
- Validate AI integrations, APIs, microservices, data pipelines,



model interactions, and third-party services.
- Establish testing approaches for both deterministic and non-deterministic AI behavior, including evaluation datasets, expected behavior, quality thresholds, and repeatability.
- Integrate automated testing and AI quality checks into CI/CD pipelines in partnership with DevOps teams.
- Use tools and frameworks such as Selenium, Cucumber/Gherkin, Playwright, RestAssured, JUnit, TestNG, ReadyAPI, and JMeter.
- Identify, document, prioritize, and track defects through resolution.
- Analyze test coverage, quality trends, AI evaluation results, and production feedback to identify gaps and drive continuous improvement.
- Collaborate with cross-functional Agile teams to deliver reliable, secure, and user-focused product features.
- Communicate test results, risks, quality metrics, and release recommendations clearly to technical and non-technical stakeholders.

Required Skills:

- Relevant experience in Quality Engineering, Quality Assurance, test automation, or software development.
- Programming experience with Java, Python, Groovy, or a comparable language.
- Experience building and maintaining test automation frameworks.
- Hands-on experience with Selenium, Cucumber/Gherkin, Playwright, RestAssured, or similar automation technologies.
- Experience testing functional and non-functional requirements, APIs, integrations, databases, microservices, and regression suites.
- Experience with testing frameworks and tools such as JUnit, TestNG, qTest, ReadyAPI, and JMeter.
- Understanding of TDD, ATDD, BDD, continuous testing, and risk-based testing practices.
- Experience testing AI or machine learning-powered applications, APIs, conversational systems, or generative AI features.




- Understanding of AI quality concepts such as prompt evaluation, grounding, accuracy, relevance, toxicity, bias, hallucination detection, and response consistency.
- Ability to create effective test data and evaluation datasets for AI-driven functionality.
- Solid analytical, problem-solving, communication, and technical documentation skills.
- Ability to work effectively in a fast-paced, cross-functional Agile environment.

Nice to Have:

- Experience with AI evaluation frameworks, LLM testing, prompt engineering, retrieval-augmented generation, embeddings, or model observability.
- Experience with Git, Bitbucket, Jenkins, CI/CD pipelines, Artifactory, SonarQube, Jira, Confluence, AWS, Kubernetes, Maven, or Gradle.
- Experience testing cloud-native applications and distributed microservice architectures.
- Experience with security, performance, accessibility, or reliability testing.
- Experience developing automation scripts and reusable testing utilities.
- Experience with Tableau or other analytics and visualization platforms.
- CSTE certification or an equivalent quality engineering certification.
- Experience working directly with DevOps teams to implement automated quality gates and release controls.

Salary Range - CA$ 95,000 - CA$ 110,000 Per Year

TCS does not use artificial intelligence tools for candidate screening or evaluation. This post is for a current vacancy. The hiring process includes an initial screening, followed by a technical evaluation and managerial discussion.

Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodation during the recruitment and selection process, please inform Human Resources.

Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.

📌 Sr Software Quality Engineer (AI Focused) (Toronto)
🏢 TATA Consultancy Services
📍 Toronto