Lead AI Test Automation Architect

Canada
On-site
Posted Aug 10, 2026
1 position

Opens an external site

Employment type: Contract
Experience level: Lead · 10+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Not Applicable

Job summary

Design and lead AI-powered quality engineering frameworks and intelligent testing workflows. Develop UI, API, and performance automation while integrating AI solutions into CI/CD pipelines.

Job details

Role Overview Seeking a Lead AI Test Automation Architect / Senior SDET to design and lead AI-powered Quality Engineering and test automation solutions. The role requires strong automation architecture, hands-on coding, and experience with LLMs, RAG, Agentic AI, and AI-driven testing. Key Responsibilities Design and lead AI-powered test automation frameworks. Build AI agents, RAG solutions, and intelligent testing workflows. Develop UI, API, and performance automation. Integrate AI/QE solutions into CI/CD pipelines. Define QE strategy, architecture, and quality standards. Provide technical leadership and mentor QE/engineering teams. Collaborate with development, product, and architecture teams. 10–14 years of experience in QE, SDET, Test Automation, or Software Engineering Strong Python, TypeScript, or Java development Hands-on Playwright/Selenium and API automation (PyTest, Requests, RestAssured) Strong experience with LLMs, GenAI, Prompt Engineering, RAG, and Vector Databases Experience with AI Agents / Agentic AI, including LangChain, LangGraph, AutoGen, or CrewAI Experience with MCP and AI-enabled workflows Design and lead AI-powered test automation frameworks Build AI agents, RAG solutions, and intelligent testing workflows Integrate automation and AI solutions into CI/CD pipelines Experience with AWS, Azure, or GCP Provide technical leadership, architecture, and mentoring Collaborate with development, product, and architecture teams in an Agile environment

What you’ll do

Design and lead AI-powered quality engineering frameworks and intelligent testing workflows. Develop UI, API, and performance automation while integrating AI solutions into CI/CD pipelines.

Requirements

Requires 10-14 years of experience in QE or SDET with strong proficiency in Python, Java, or TypeScript. Must have hands-on experience with GenAI, LLMs, RAG, and AI agent frameworks like LangChain or CrewAI.