QA Lead

A leading global investment bank, is scaling its agentic AI program and requires a Lead Quality Engineering Engineer to support the validation and testing of agentic AI applications as they move from proof-of-concept into production environments.

This role requires a strong foundation in manual testing with proven experience across complex, data-intensive applications in an enterprise or financial services environment (ideally capital markets). The successful candidate will be expected to hit the ground running, contributing to active test cycles from day one while helping to define quality standards for a growing agentic AI program. The candidate will be comfortable with 4 days on site in Toronto, Montreal OR Vancouver.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

7+ years in quality engineering or QA within an enterprise or financial services environment
Strong hands-on manual testing skills across API testing, integration testing, and end-to-end testing
Experience testing workflow-based, orchestrated, or event-driven systems, including microservices or RPA platforms
Experience with test management tools such as Jira, Zephyr, TestRail, or equivalent manual testing tools
Familiarity with test automation frameworks such as Selenium, Pytest, Postman, or equivalent
Proven ability to work within regulated environments with attention to audit documentation, traceability, and governance
Strong communicator able to work across engineering, product, and business stakeholders
Background in capital markets, equities technology, or fintech

Direct exposure to agentic AI systems or multi-step LLM pipelines
∙ Familiarity with LangChain, LangGraph, CrewAI, or AutoGen
∙ Experience with AI-assisted testing tools or LLM evaluation frameworks

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.