Artificial Intelligence Systems Architect

4 days ago

ghaziabad, India beBeeAIarchitect Full time

About Our Job:We are looking for an AI Architect to lead the development of autonomous agents capable of reasoning, learning, and collaborating across the test life cycle.Key ResponsibilitiesJob Description:Architect and design agentic AI systems tailored for software testing phases including test planning, generation, execution, defect triaging, and reporting.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.Required Skills and Qualifications:We require a proven 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 is required.A minimum of 5 years of experience in building AI/ML solutions, with at least 1 year focused on generative AI is necessary.Hands-on experience with LLMs, reinforcement learning, and multi-agent frameworks is essential.Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch, LangChain) is a must.Familiarity with software testing tools (e.g., Selenium, TestNG, JUnit) and lifecycle processes is also required.Benefits:This is a contract job opportunity.The job type is hybrid.We expect immediate joiners.Others:Experience deploying and managing agents on AgentSpace or similar platforms is a plus.Excellent problem-solving, communication, and leadership skills are necessary.

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