AI Visionary Leader

1 week ago


kurnool, India beBeeArtificial Full time

About Our Client:We are a global IT services company headquartered in Southborough, Massachusetts, USA.Founded in 1996, our company specializes in digital engineering and IT services to help clients modernize their technology infrastructure and adopt cloud and AI solutions.We partner with major firms in banking, healthcare, telecom, and media.Our team combines deep industry expertise with agile development practices to enable scalable and cost-effective digital transformation.We operate in over 50 locations across more than 25 countries and have delivery centers in Asia, Europe, and North America.We are known for our CMMI Level 5 standards.Job Title: Ai ArchitectExperience Level: 10-15 Years Ai ArchitectJob Location: Pan IndiaJob Type: ContractWork Mode: HybridNotice Period: Immediate JoinersRequirements: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 Qualifications: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.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 frameworks.Proficiency 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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