Architect (ATC)

5 - 10 years

12 - 16 Lacs

Posted:3 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Key ResponsibilitiesArchitect and design agentic AI systems tailored for software testing phases including test planning, generation, execution, defect triaging, and reporting
  • Lead the development of autonomous agents capable of reasoning, learning, and collaborating across the test life cycle
  • Build and optimize AI pipelines using Google Cloud services (Vertex AI, BigQuery, Cloud Functions, etc)
  • Integrate agents with CI/CD pipelines, test management tools, and developer environments
  • Ensure seamless deployment and orchestration on AgentSpace, leveraging its capabilities for agent lifecycle management, communication, and scalability
  • Collaborate with cross-functional teams including QA, DevOps, and product engineering to align AI capabilities with business goals
  • Define and enforce best practices for agentic AI, including safety, interpretability, and performance monitoring
  • Stay ahead of emerging trends in LLMs, multi-agent systems, and autonomous software engineering
  • Required QualificationsProven experience as an AI Architect, ML Engineer, or similar role with a focus on agentic or autonomous systems
  • Strong expertise in Google Cloud Platform and its AI ML ecosystem
  • 5+ years of experience in building AI/ML solutions, with at least 1+ year focused on generative AI
  • Hands on experience with LLMs reinforcement learning and multi agent frameworksProficiency in Python and relevant AI libraries (e g , TensorFlow, PyTorch, LangChain)
  • Familiarity with software testing tools (e g , Selenium, TestNG, JUnit) and lifecycle processes
  • Experience deploying and managing agents on AgentSpace or similar platforms
  • Excellent problem solving, communication, and leadership skills

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