Senior QE + AI Engineer

Senior QE + AI Engineer

📍 Toronto – 2–3 Days Onsite

About the Role

We are seeking a Senior QE + AI Engineer with around 8 years of experience in Quality Engineering, Test Automation, or Software Engineering. The role focuses on building AI-powered solutions to compare business process maps/workflows, identify gaps, and improve QE analysis across enterprise applications.

Roles & Responsibilities

• Experience with enterprise planning, financial planning, or performance management applications.
• Automate ingestion and analysis of business process maps and workflows.
• Leverage Generative AI/LLMs to understand process steps, dependencies, decision points, and workflow relationships.
• Identify missing steps, workflow changes, business-rule differences, missing controls, inputs/outputs, dependencies, and process gaps.
• Build reusable automation for process-map ingestion, comparison, validation, and reporting.
• Generate structured AI-driven gap-analysis and comparison reports.
• Integrate process-map comparison into QE practices, test coverage, and risk-based testing.
• Implement human-in-the-loop validation for AI-generated findings.
• Improve prompts, comparison logic, evaluation criteria, and AI accuracy.
• Define quality metrics for gap detection, false positives/negatives, and automation effectiveness.
• Mentor QE engineers in AI-assisted quality engineering and automation practices.

Required Skills & Experience

• Around 8 years of Quality Engineering, Testing, Test Automation, or Software Engineering experience.
• Strong enterprise test automation and QE experience.
• Hands-on Playwright experience.
• Strong business process/workflow analysis experience.
• Experience building automation solutions using Python or similar languages.
• Hands-on Generative AI / LLM experience for enterprise automation or testing.
• Experience with process maps, workflow diagrams, and business process documentation.
• Ability to translate workflows into structured test scenarios and validation rules.
• Experience with AI-assisted test case generation, test analysis, document comparison, or intelligent automation.
• Strong functional, integration, regression, and data validation testing experience.
• Strong analytical, problem-solving, communication, and stakeholder management skills.

Nice to Have

• Banking, Financial Services, or Risk domain experience.
• LangChain, LangGraph, LlamaIndex, or similar GenAI frameworks.
• RAG, embeddings, semantic similarity, or vector databases.
• OCR, document intelligence, computer vision, or multimodal LLM experience.
• SQL and backend/data validation experience.
• AI evaluation frameworks and LLM accuracy/reliability measurement.

1. EEO Statement

• All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.