Description

You will architect and build autonomous AI systems for the software testing lifecycle.

This role is hybrid.

Responsibilities

• Design agentic AI systems for test planning, generation, execution, triaging, and reporting.
• Develop autonomous agents that reason, learn, and collaborate across the test lifecycle.
• Build and optimize AI pipelines using Google Cloud services including Vertex AI, BigQuery, and Cloud Functions.
• Integrate agents with CI/CD pipelines, test management tools, and developer environments.
• Manage agent lifecycle and scalability on AgentSpace or similar platforms.

Required Skills

• 15+ years of experience building AI/ML solutions, with 1+ year focused on generative AI.
• Proven experience as an AI Architect or ML Engineer specializing in agentic systems.
• Strong expertise in Google Cloud Platform and its AI/ML ecosystem.
• Hands-on experience with LLMs, reinforcement learning, and multi-agent frameworks.
• Proficiency in Python and AI libraries including TensorFlow and PyTorch.
• Experience with CI/CD pipelines, Selenium, TestNG, and JUnit.
• Experience deploying and managing agents on AgentSpace or similar platforms.

Key Skills

Education

Any Gradute