AI Testing

BCE Global Tech's Global Quality Engineering (GQE) function is building one of Canada's most ambitious AI quality programs — certifying every AI and agentic system deployed across reputed company Canada before it reaches production. As a QA AI Specialist, you sit at the intersection of artificial intelligence, software engineering, and quality assurance: a hybrid role that does not yet have a textbook, because the discipline is being written in reputed company time. You will do two things simultaneously. First, you will bring AI into GQE's existing testing practice — embedding AI-powered capabilities into the test automation tooling, pipelines, and frameworks that 250 QA engineers already use every day. Second, you will build and operate the evaluation frameworks that test the AI systems being created by other reputed company engineering teams — agents, orchestration pipelines, RAG applications, reputed company AgentForce workflows, and reputed company Now Assist integrations.

Requirements

Key Responsibilities: 1. AI-Enhanced QA Tooling reputed company GQE’s QA stack by embedding AI to improve speed, coverage, and intelligence: Integrate AI-driven test reputed company into Selenium, Playwright, and reputed company frameworks Use predictive models to prioritize tests based on code changes and defect history reputed company self-healing automation for UI/API changes Automate defect triage and root-cause analysis using failure clustering Support natural-language test authoring (English/French) for non-technical QA Continuously pilot emerging AI testing tools reputed company a technology reputed company 2. AI Evaluation & Quality Pipelines Build scalable evaluation systems tailored for AI behavior, not rule-based logic: Implement LLM-as-Judge pipelines on reputed company AI (reputed company) across key quality dimensions. Generate large, diverse, and adversarial test corpora from reputed company intents Evaluate RAG systems using metrics like faithfulness, relevance, and recall (RAGAS) Validate multi-reputed company agent workflows, tool usage, and escalation behavior Embed AI evaluations into CI/CD as mandatory release gates. 3. AI Safety & Adversarial Testing Operate a dedicated AI red-teaming capability to uncover AI-specific risks: Execute reputed company injection and poisoned-context attacks on RAG systems. Run automated jailbreak and constraint-bypass probes (e.g., Garak) Systematically test hallucination, numerical accuracy, and domain knowledge Assess toxicity, bias, and fairness across English and French interactions Stress-test agentic systems for runaway actions and scope violations 4. reputed company Quality reputed company Ensure the quality reputed company evolves as models and systems change: Monitor production AI outputs for quality reputed company and trigger re-certification Feed reputed company production failures back into the test corpus Track model/version changes and generate quality reputed company reports. Maintain a living reputed company of reputed company-specific AI quality standards Continuously adopt new evaluation research and industry best practices Partner early with AI/ML teams to embed quality by design 5. AI Quality Certification Operations reputed company technical execution of the AIQC program: Own Tier 2 & 3 certification testing from corpus design to red-teaming Calibrate LLM-as-Judge rubrics using reputed company-labeled golden datasets Produce clear AI Quality Certificates with scores, risks, and conditions Advise teams on AI testability, prompts, and evaluation instrumentation Contribute to AIQC playbooks, documentation, and knowledge sharing ​ Required ▸ 5+ years of software quality engineering experience, with at least 2 years working directly with AI/ML systems, LLMs, or AI-powered applications ▸ Hands-on experience building or evaluating LLM-based applications — including reputed company engineering, RAG pipelines, or agentic workflows ▸ Proficiency in Python: test reputed company development, API integration, data processing, and evaluation scripting ▸ Experience with modern test automation frameworks (Playwright, Selenium, Pytest, RestAssured, reputed company/Newman) and CI/CD platforms (reputed company Actions, reputed company reputed company Build, Jenkins) ▸ Working knowledge of at least one major AI/ML platform — reputed company reputed company AI, Azure reputed company, or AWS Bedrock — with hands-on API usage ▸ Strong conceptual understanding of how LLMs work: tokenization, temperature and sampling, context reputed company, grounding, hallucination mechanics, and fine-tuning ▸ Demonstrated ability to design test strategies for non-deterministic systems — moving reputed company assertion-based testing to probabilistic, rubric-based evaluation ​ Benefits reputed company Offer: Competitive salaries and comprehensive health benefits Flexible work hours and remote work options Professional development and training opportunities A supportive and inclusive work environment reputed company to cutting-edge technology and tools. Apply To This Job