Senior Software Solutions Designer || Experienced Professional || Digital Innovation Expert

2 weeks ago


kottayam, India beBeeArchitect Full time

About Our Client:We are a global technology services company, headquartered in Massachusetts, USA. Founded in 1996, we specialize in digital engineering and IT services, helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation.With over 50 locations across more than 25 countries, we operate delivery centers in Asia, Europe, and North America. Our expertise lies in combining deep industry knowledge with agile development practices, enabling scalable and cost-effective digital transformation.We partner with major firms in banking, healthcare, telecom, and media, delivering customized solutions to meet our clients' evolving needs.Job Title: AI ArchitectExperience Level: 10-15 Years AI ArchitectJob Location: Pan IndiaJob Type: ContractWork Mode: HybridNotice Period: Immediate JoinersApplicants should attach their resume.Job DescriptionKey Responsibilities:Design and develop autonomous AI systems for software testing phases, including test planning, generation, execution, defect triaging, and reporting.Lead the development of intelligent agents that can reason, learn, and collaborate across the test life cycle.Bulk 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 Skills and QualificationsProven Experience:A proven track record 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.Applicants should attach their resume.



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