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Added 3 months ago
ead Full Stack Developer (C# / .NET Core / Azure)
Aarorn Technologies Inc
Toronto, Ontario
Contract
At its core, this role requires excellent problem-solving skills and C#/.Net, Java, Python and full stack coding capability. This role will need to effectively communicate, collaborate, and…
Added 1 month ago
Senior Platform Engineer - AI Platforms & Deployment - Landmark
Halliburton
Calgary, AB
This role sits at the intersection of software engineering, infrastructure engineering, AI platform operations, and DevOps. You will help define how applications move from development to…
Added 3 months ago
Observability Engineer
Accommodations Plus International
Markham, ON
$90,000 to $110,000 CAD / year
Experience in Java, Python, PowerShell, and/or Unix shell.
Added 9 days ago
Senior Java Developer, TD Securities
TD
Toronto, ON
Full-time
We are looking for a motivated Senior Java Developer (Engineer I) to join our Trading Risk Warehouse platform team within TD Securities. The successful candidate will contribute to the…
Added 3 months ago
Lead Full Stack Developer
Saatchi & Saatchi Canada
Canada
Full-time
…database migration, debugging a prod incident, mentoring a senior engineer, or sitting in a client architecture conversation. You thrive at the intersection of architecture, engineering,…
Added 2 months ago
Engineering Lead, Quality
Vancity
Toronto, ON · Vancouver, BC
Full-time
As a Engineering Lead, Quality, you will play a senior technical role responsible for ensuring the quality, reliability, and performance of member-facing platforms through hands-on…
Added 9 days ago
Backend/Microservice Engineer
Synechron
Mississauga, ON
$115,000 to $120,000 CAD / year
Full-time
Synechron is seeking a Senior Java Backend Developer to support a leading banking client. In this role, you will help design and build the microservices layer that connects a blockchain…
Added 13 days ago
Senior Lead AI Application Engineer (Global Security)
RBC
Calgary, AB · Toronto, ON
Full-time
As the Senior Lead AI Application Engineer, you will lead multi-agentic application software engineering and full-stack delivery of secure, cloud native microservices that embed pragmatic…
Added 10 days ago
Senior Java Developer, TD Securities
TD
Toronto, ON
Full-time
We are looking for a motivated Senior Java Developer (Engineer I) to join our Trading Risk Warehouse platform team within TD Securities. The successful candidate will contribute to the…
Added 10 days ago
Senior Software Engineer
Mastercard
Vancouver, BC
Full-time
The Business Rules Engineering & Strategy team is looking for a Senior Software Engineer to drive forth our mission of building robust IBM ODM Rule solutions that provide transaction-level…
Added 10 days ago
Senior Full Stack Engineer - Senior Vice President
Citi
Mississauga, ON
Full-time
The Senior Full Stack Engineer - Senior Vice President is a senior level position responsible for establishing and implementing new or revised application systems and programs in…
Added 10 days ago
Ingénieur·eure logiciel·le senior – DevOps & Full Stack (Python/Java)
ALTEN Canada
Montreal, QC
Full-time
Senior Software Engineer – DevOps & Full Stack (Python/Java)
Added 2 months ago
NetSuite SCM Engineer - Inventory, WMS & Fulfillment
Lime
Remote, Canada
$102,000 to $143,000 CAD / year
Full-time · Remote
We are seeking a strong techno-functional Senior ERP Application Engineer to support the development, customization, and integration of our global Supply Chain Management (SCM) platforms.…
Added 4 months ago
Senior Platform Engineer
Scotiabank
Toronto, Ontario
Full-time
GBME is searching for a Senior Platform Engineer who is a continuous learner and is eager to boost the capabilities of capital markets platforms. The successful candidate will have a strong…
Added 11 days ago
Senior SDET (IC4) - Senior Software Engineer in Test
Emburse Chrome River
Toronto, ON
Full-time
Emburse is seeking a skilled and detail-oriented Senior Software Development Engineer in Test (SDET) to join our engineering team. In this role, you will bridge the gap between software…
Added 4 months ago
Senior Software Engineer
Catallyse
Remote, Canada
$110,000 to $160,000 USD / year
Full-time · Remote
Backend: Python, Java, Kotlin, Go + DevOps/API/infra comfort
Added 5 months ago
Principal Software Engineer - AI
Boomi
Vancouver, British Columbia
Full-time
Lead the design and implementation of complex, distributed systems using Python and Java, establishing architectural patterns and best practices.
Added 5 months ago
Senior Systems Integrator (PKI / Identity & Security)
Entrust
Canada
Full-time
Minimum of 10 years’ experience as a Senior Systems, Software, or Support Engineer.
Added 19 days ago
Senior Test Automation Engineer – AI Testing
Cognizant
Montreal, QC
Full-time
…comparables. Maîtrise des langages de programmation, notamment Java et Python, ainsi qu’une expertise avérée dans la mise en œuvre de cadres d’automatisation. Expérience concrète en…
Added 6 months ago
Best Senior Backend Engineera
Kombo
Toronto, Ontario
Full-time
We're looking for a Senior Backend Engineer to join our growing engineering team in Toronto, Canada. In this role, you will design, develop, and maintain scalable backend systems that power…
Added 5 months ago
Senior Solutions Engineer - Australia / New Zealand
LaunchDarkly
Ottawa, Ontario
Full-time
As a Senior Solutions Engineer, you will be the technical partner to Account Executives, helping LaunchDarkly land and expand enterprise customers across the ANZ Market
Added 11 days ago
Forward Deployed Engineer
Synechron
Montreal, QC
Full-time
Substantial production software development experience in Python, TypeScript/JavaScript, C#, Java, or a comparable language.
Added 12 days ago
Senior Full Stack Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Autonomously code and troubleshoot Python and/or Java REST API and related software and setup local and shared, cloud environments and resolve issues
Added 11 days ago
Senior Full Stack Developer – Generative AI & Autonomous Agents - Toronto, Canada - Hybrid (10038)
Extreme Networks
Toronto, ON
Full-time
We are seeking an experienced Senior Full Stack Developer with deep expertise in backend systems (Java, Python, microservices) and modern UI frameworks (Angular, React) to join our…
Added 12 days ago
Senior Full Stack Engineer
RBC
Toronto, ON
Full-time
Autonomously code and troubleshoot Python and/or Java REST API and related software and setup local and shared, cloud environments and resolve issues

Cognizant

Senior Test Automation Engineer – AI Testing

Montreal, QC, Canada

Job type: Full-time
Apply by: Oct 2, 2026
Posting language: English · French
Posted: Sep 2, 2026

Apply About employer

Applications open in a new tab.

Original job description

English section of this bilingual listing.

English Version

About The Role

We are looking to hire a Senior QA Engineer with AI experience, automation, and performance testing. Automation will be Python, Robot Framework, Playwright.

In this role, you will

AI Systems and Models Testing

Design and execute comprehensive test strategies for AI systems and models, including prompt engineering, output evaluation, and bias/safety testing.

Develop deep understanding of LLM behavior - tokenization, embeddings, attention mechanisms, and inference - to anticipate failure modes.

Construct effective prompts, recognize hallucinations and off-target outputs, and assess quality across accuracy, tone, coherence, and bias dimensions.

Apply evaluation metrics specific to generative AI and establish appropriate thresholds.

Test AI systems integrated with RAG pipelines and knowledge bases, validating data quality and retrieval accuracy as they impact model outputs.

Understand vector database mechanics, similarity search thresholds, embedding drift, and test edge cases including near-duplicate documents, sparse vs. dense embeddings, and performance under scale.

Leverage LangChain and LangGraph frameworks to read code, understand chain and graph construction, identify failure points, and write test harnesses.

Validate integration points using MCPs, testing tool availability and error handling.

Test Strategy and Planning

Define and execute comprehensive test strategies for securitization platforms, ensuring coverage across functional, regression, integration, and performance testing. Establish testing standards and best practices that span both traditional QA and AI-specific validation.

Test Automation and Framework Development

Design, build, and maintain automated test suites to accelerate release cycles and improve coverage. Leverage AI and ML tools to enhance test coverage, improve efficiency, and reduce regression cycles.

Securitization Lifecycle QA Validate end-to-end deal workflows including setup, structuring, processing, and distributions. Ensure data integrity across upstream and downstream systems through reconciliation testing and reporting.

Release and Regression Testing

Coordinate regression testing for platform releases, patches, and infrastructure changes. Ensure stability and backward compatibility, particularly during critical processing windows.

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 4 days a week in a client or Cognizant office in Montreal, QC. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What You Need To Have To Be Considered

7+ years of quality assurance or quality engineering experience.

Technical Skills

Hands-on experience with test automation tools (Selenium, Robot Framework, Playwright, or similar). Proficiency in programming languages including Java and Python, with demonstrated framework implementation expertise. Hands-on API automation and backend system validation experience. Proficiency in database query development, data validation, and reconciliation testing. Experience with CI/CD pipelines and DevOps practices (Jenkins, GitHub, or similar).

AI and ML Competencies

Core understanding of LLM architecture and behavior. Hands-on experience with LangChain and/or LangGraph frameworks. Knowledge of RAG pipelines, vector databases, and agentic solutions. Familiarity with Model Context Protocols (MCPs) and integration testing. Understanding of bias, safety, and red-team testing methodologies for AI systems.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Read the full bilingual original

À propos du poste

Nous recherchons un Ingénieur en Assurance Qualité, ayant de l'expérience en IA et en tests d'automatisation et de performance. Les outils d'automatisation des tests utilisés sont Python, Robot Framework, Playwright.

Ce que vous accomplirez

Tests de systèmes et modèles d’IA

Concevoir et exécuter des stratégies de test complètes pour les systèmes et modèles d’IA, incluant l'ingénierie des requêtes (prompt engineering), l’évaluation des résultats et les tests de biais/sécurité.
Développer une compréhension approfondie du comportement des grands modèles de langage (LLM), notamment de la tokénisation, des vecteurs d'intégration (embeddings), des mécanismes d'attention et de l'inférence, afin d'anticiper les modes de défaillance potentiels.
Concevoir des requêtes efficaces, détecter les hallucinations et les résultats hors cible, et évaluer la qualité des réponses générées selon leur exactitude, leur ton, leur cohérence et l'absence de biais.
Appliquer des mesures d'évaluation propres à l'IA générative et établir des seuils de performance appropriés.
Tester les systèmes d'IA intégrés à des pipelines de génération augmentée par récupération (RAG) et à des bases de connaissances, en veillant à la qualité des données et à l'exactitude de la récupération de l'information, lesquelles ont une incidence sur les résultats générés par les modèles.
Comprendre le fonctionnement des bases de données vectorielles, les seuils de recherche par similarité, les phénomènes de dérive des embeddings, et tester les cas limites, notamment les documents quasi identiques, les embeddings clairsemés ou denses, ainsi que les performances lors du passage à l'échelle.
Utiliser les frameworks LangChain et LangGraph afin d'analyser le code, de comprendre la structure des chaînes et des graphes, d'identifier les points de défaillance et de concevoir des harnais de test.
Valider les points d'intégration à l'aide des protocoles MCP (Model Context Protocol), en vérifiant la disponibilité des outils et la gestion des erreurs.

Stratégie et planification des tests

Élaborer et exécuter des stratégies de test complètes pour les plateformes de titrisation, en veillant à la couverture complète des tests fonctionnels, de régression, d'intégration et de performance. Établir des normes d'essai et des pratiques exemplaires couvrant à la fois l'assurance qualité traditionnelle et la validation propre aux systèmes d'IA.

Automatisation des tests et développement de cadres d'automatisation

Concevoir, développer et maintenir des suites de tests automatisés afin d'accélérer les cycles de mise en production et d'améliorer la couverture des essais. Mettre à profit les outils d'IA et d'apprentissage automatique (ML) pour accroître la couverture des essais, améliorer l'efficacité des activités de test et réduire les cycles de régression.

Assurance qualité du cycle de vie de la titrisation Valider de bout en bout les flux de travail liés aux transactions, notamment la configuration, la structuration, le traitement et les distributions. Assurer l'intégrité des données entre les systèmes en amont et en aval au moyen de tests de rapprochement et de rapports.

Tests de mise en production et de régression

Coordonner les tests de régression liés aux mises en production de la plateforme, aux correctifs et aux modifications d'infrastructure. Assurer la stabilité et la rétrocompatibilité, en particulier lors des périodes de traitement critiques.

Work model

Nous croyons que le travail hybride est l’avenir, et nous nous efforçons d'offrir de la flexibilité dans la mesure du possible. Compte tenu des exigences opérationnelles de ce poste, il s'agit d'un poste hybride nécessitant quatre jours par semaine au bureau de Cognizant ou chez un client à Montreal, QC. Quel que soit votre modalité de travail, nous sommes là pour favoriser une équilibre travail-vie personnelle grâce à nos programmes de mieux-être.

Les modalités de travail pour ce poste sont exactes à la date de publication. Elles peuvent changer en fonction du projet dans lequel vous êtes engagé, ainsi que des exigences de Cognizant et du client. Soyez assuré(e) que nous serons toujours clairs sur les attentes liées au poste.

Compétences requises

Plus de 7 ans d'expérience en assurance qualité ou en ingénierie de la qualité. Solide connaissance du domaine de la titrisation, des marchés des capitaux ou de catégories d’actifs similaires.

Compétences techniques

Expérience pratique avec des outils d'automatisation des tests tels que Selenium, Robot Framework, Playwright ou des outils comparables. Maîtrise des langages de programmation, notamment Java et Python, ainsi qu’une expertise avérée dans la mise en œuvre de cadres d’automatisation. Expérience concrète en automatisation des tests d’API et en validation des systèmes back-end. Maîtrise du développement de requêtes de bases de données, de la validation des données et des tests de rapprochement. Expérience des pipelines CI/CD et des pratiques DevOps, notamment avec Jenkins, GitHub ou des outils comparables.

Compétences en IA et en apprentissage automatique

Bonne compréhension de l’architecture et du fonctionnement des grands modèles de langage (LLM). Expérience pratique avec les frameworks LangChain et/ou LangGraph. Connaissance des pipelines RAG, des bases de données vectorielles et des solutions agentiques. Connaissance des protocoles MCP (Model Context Protocol) et expérience des tests d'intégration. Compréhension des méthodes d’évaluation des biais, de la sécurité et des exercices de simulation d’attaque (red teaming) appliqués aux systèmes d’IA.

Nous avons hâte de rencontrer des personnes qui partagent notre mission et qui souhaitent contribuer de différentes façons. N’hésitez pas à postuler, même si vous ne répondez qu’aux compétences requises. Vos expériences et vos compétences transférables comptent - montrez-nous comment vous pourriez être la personne qu’il nous faut pour ce poste.

English Version

About The Role

We are looking to hire a Senior QA Engineer with AI experience, automation, and performance testing. Automation will be Python, Robot Framework, Playwright.

In this role, you will

AI Systems and Models Testing

Design and execute comprehensive test strategies for AI systems and models, including prompt engineering, output evaluation, and bias/safety testing.

Develop deep understanding of LLM behavior - tokenization, embeddings, attention mechanisms, and inference - to anticipate failure modes.

Construct effective prompts, recognize hallucinations and off-target outputs, and assess quality across accuracy, tone, coherence, and bias dimensions.

Apply evaluation metrics specific to generative AI and establish appropriate thresholds.

Test AI systems integrated with RAG pipelines and knowledge bases, validating data quality and retrieval accuracy as they impact model outputs.

Understand vector database mechanics, similarity search thresholds, embedding drift, and test edge cases including near-duplicate documents, sparse vs. dense embeddings, and performance under scale.

Leverage LangChain and LangGraph frameworks to read code, understand chain and graph construction, identify failure points, and write test harnesses.

Validate integration points using MCPs, testing tool availability and error handling.

Test Strategy and Planning

Define and execute comprehensive test strategies for securitization platforms, ensuring coverage across functional, regression, integration, and performance testing. Establish testing standards and best practices that span both traditional QA and AI-specific validation.

Test Automation and Framework Development

Design, build, and maintain automated test suites to accelerate release cycles and improve coverage. Leverage AI and ML tools to enhance test coverage, improve efficiency, and reduce regression cycles.

Securitization Lifecycle QA Validate end-to-end deal workflows including setup, structuring, processing, and distributions. Ensure data integrity across upstream and downstream systems through reconciliation testing and reporting.

Release and Regression Testing

Coordinate regression testing for platform releases, patches, and infrastructure changes. Ensure stability and backward compatibility, particularly during critical processing windows.

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 4 days a week in a client or Cognizant office in Montreal, QC. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What You Need To Have To Be Considered

7+ years of quality assurance or quality engineering experience.

Technical Skills

Hands-on experience with test automation tools (Selenium, Robot Framework, Playwright, or similar). Proficiency in programming languages including Java and Python, with demonstrated framework implementation expertise. Hands-on API automation and backend system validation experience. Proficiency in database query development, data validation, and reconciliation testing. Experience with CI/CD pipelines and DevOps practices (Jenkins, GitHub, or similar).

AI and ML Competencies

Core understanding of LLM architecture and behavior. Hands-on experience with LangChain and/or LangGraph frameworks. Knowledge of RAG pipelines, vector databases, and agentic solutions. Familiarity with Model Context Protocols (MCPs) and integration testing. Understanding of bias, safety, and red-team testing methodologies for AI systems.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Apply About employer

More about this job

Responsibilities

Design and execute comprehensive test strategies for AI systems and LLMs, focusing on prompt engineering, RAG pipelines, and bias detection. Develop and maintain automated test suites for securitization platforms to ensure data integrity and system stability.

Requirements

Requires over 7 years of QA experience with proficiency in Python, Java, and automation tools like Playwright or Robot Framework. Must have a deep understanding of LLM behavior, vector databases, and experience in capital markets or securitization.

Skills

AI Testing
Python
Robot Framework
Playwright
LLM Architecture
Prompt Engineering
RAG Pipelines
Vector Databases
LangChain
LangGraph
API Automation
Java
CI/CD
Securitization
Red Teaming
Model Context Protocol

Benefits

Wellbeing Programs

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
LLM
RAG
Vector Database
LangChain
LangGraph
Python
Java
Robot Framework
Playwright
Selenium
API Automation
CI/CD
Jenkins
GitHub
Securitization
Capital Markets
Prompt Engineering
Red Teaming
Model Context Protocol
Tokenization
Embeddings
Regression Testing
Performance Testing
DevOps
Data Validation
Reconciliation Testing

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