Senior QE + AI Engineer

Job summary

Build AI-powered automation to ingest, analyze, compare, and report on business process maps and workflows, identifying gaps, changes, dependencies, and control differences. Integrate validated AI findings into QE practices, test coverage, and risk-based testing, while improving AI accuracy and mentoring QE engineers.

Job details

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.

What you’ll do

Build AI-powered automation to ingest, analyze, compare, and report on business process maps and workflows, identifying gaps, changes, dependencies, and control differences. Integrate validated AI findings into QE practices, test coverage, and risk-based testing, while improving AI accuracy and mentoring QE engineers.

Requirements

Candidates should have around eight years of experience in quality engineering, testing, test automation, or software engineering, with strong enterprise QE, Playwright, Python, workflow analysis, and hands-on Generative AI/LLM experience. They should be able to translate workflows into test scenarios and validation rules and have experience with functional, integration, regression, and data validation testing.

Listed skills

• Data Validation · Preferred
• prompt engineering · Preferred
• Stakeholder Management · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Quality Engineering
• Test Automation
• Playwright
• Business Process Analysis
• Workflow Analysis
• Python
• Generative AI
• Large Language Models
• Process Map Comparison
• Functional Testing
• Integration Testing
• Regression Testing
• Data Validation
• Risk-Based Testing
• Prompt Engineering
• Stakeholder Management

Job areas

• Technology
• Software
• Data & Analytics
• Engineering
• Finance & Accounting

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