Lead Test Automation Architect – AI Tools

7 days ago

india, IN Applicantz Full time

THIS IS A CONTRACT POSITION WITH ONE OF THE LARGEST, GLOBAL, TECHNOLOGY LEADER.


Position Overview:

We are seeking an experienced AI Tools & Automation Engineer to design, build, and scale intelligent agent-based systems while driving world-class test automation. In this role, you will work at the intersection of AI agents, LLM integration, and automated testing to ensure our platforms are robust, scalable, and high quality.


Minimum Qualifications:

  • Proven experience building and deploying AI agents using LangGraph or similar agentic frameworks.
  • Strong understanding of agent orchestration, tool calling, and multi-agent collaboration patterns.
  • Hands-on experience integrating LLMs into production systems, including prompt engineering and RAG implementations.
  • Strong Python programming skills, including async/await and API design for scalable systems.
  • Expertise in automated testing for desktop and cloud applications, including end-to-end and integration testing.
  • Proficiency with Playwright and/or Cypress, and advanced scripting skills in Python, JavaScript, and TypeScript.
  • Experience integrating automated tests into CI/CD pipelines, preferably using Jenkins.
  • Solid experience with Git for version control and collaborative development.


Nice to Have:

  • Familiarity with MCP (Model Context Protocol) or similar agent communication protocols.
  • Experience with AWS services for building scalable test and deployment environments.
  • Understanding of design and manufacturing engineering workflows.
  • Experience working in Agile environments, with hands-on use of JIRA and XRAY (or similar tooling) for test case and defect management.


Responsibilities:

  • Design, develop, and deploy AI agents using frameworks such as LangGraph or similar agentic architectures.
  • Implement and optimize agent orchestration, tool calling, and multi-agent collaboration patterns.
  • Integrate Large Language Models (LLMs) into production systems, including prompt engineering, context management, and RAG (Retrieval-Augmented Generation) pipelines.
  • Build scalable, asynchronous Python services and APIs to support agent-based workflows.
  • Leverage MCP (Model Context Protocol) or similar protocols for communication between agents and tools.
  • Design and implement end-to-end, integration, and regression test automation for desktop and cloud platforms.
  • Develop and maintain automated test suites using Playwright, Cypress, and custom frameworks in Python, JavaScript, and TypeScript.
  • Utilize AWS services to provision scalable, reliable test and staging environments.
  • Embed automated tests into CI/CD pipelines and maintain reliable test execution within Jenkins.
  • Collaborate with cross-functional teams using Git-based workflows to ensure high-quality, maintainable code.
  • Contribute to Agile ceremonies and use tools like JIRA and XRAY for test management, planning, and defect tracking.
  • Proactively drive quality improvements, best practices, and engineering excellence across the team.



Our large, Fortune client is ranked as one of the best companies to work with, in the world. The client fosters progressive culture, creativity, and Flexible work environment. They use cutting edge technologies to keep themselves ahead of the curve. Diversity in all aspects is respected. Integrity, experience, honesty, people, humanity, and passion for excellence are some other adjectives that define this global technology leader.

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