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.
- 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.
