Lead AI Test Automation Architect
- Role
- QA
- Experience
- Lead
- Employment
- Contract
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No BS summary
Lead-level SDET/test automation architect with 10–14 years in QE, automation, or software engineering. Must code in Python, TypeScript, or Java and have hands-on AI testing experience with LLMs, RAG, Agentic AI, Playwright/Selenium, API automation, CI/CD, and cloud.
Core skills
Required skills
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 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.
- Integrate automation and AI solutions into CI/CD pipelines.
- Provide technical leadership, architecture, and mentoring.
- Collaborate with development, product, and architecture teams in an Agile environment.
What they require
- 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
- Experience with AWS, Azure, or GCP