Google AI Architect

1 day ago

New Delhi, India Movate Full time

Job title: Google AI ArchitectLocation: Bangalore, Chennai, Hyderabad and PuneExperience: 14+ YearsSummary:We are seeking a highly experienced Google AI Architect to lead the design, development, and deployment of advanced AI/ML solutions leveraging Google Cloud Platform (GCP) and Vertex AI. The ideal candidate will have a strong background in enterprise architecture, cloud-native AI/ML systems, and a proven track record of driving end-to-end AI transformation initiatives across industries.Roles and Responsibilities:- Define and drive AI/ML architecture strategies using GCP services (Vertex AI, BigQuery ML, TensorFlow, Generative AI Studio). - Lead AI solution design and implementation across enterprise applications, data platforms, and customer-facing products. - Architect and deploy scalable, secure, and cost-optimized AI/ML solutions in cloud and hybrid environments. - Collaborate with data scientists, ML engineers, and business stakeholders to translate business challenges into AI-driven solutions. - Evaluate and integrate GenAI, LLMs, Agentic AI, and conversational AI platforms for enterprise use cases. - Provide technical leadership and governance, ensuring best practices in AI architecture, model lifecycle management (MLOps), and responsible AI. - Mentor and guide engineering teams on AI/ML frameworks, pipelines, and cloud-native development. - Stay updated with emerging AI trends, Google Cloud innovations, and industry practices to influence strategic roadmaps.Required Skills:- 15–18 years of overall IT experience, with at least 6–8 years in AI/ML architecture and solutioning. - Deep expertise in Google Cloud Platform (GCP) – Vertex AI, BigQuery, AI/ML APIs, TensorFlow, AutoML, and Dataflow. - Strong knowledge of Generative AI, LLMs, prompt engineering, RAG (Retrieval-Augmented Generation), and Agentic AI systems. - Hands-on experience in MLOps, CI/CD for ML, model governance, and monitoring. - Proven track record in designing and deploying enterprise-scale AI/ML solutions. - Proficiency in Python, Java, or Scala with strong knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn). - Solid understanding of data engineering, data lakes, ETL pipelines, and API-driven integrations. - Strong expertise in enterprise architecture frameworks (TOGAF, Zachman, etc.) and microservices/cloud-native patterns. - Excellent leadership, communication, and stakeholder management skills.Desired Skills:- Google Cloud Professional Machine Learning Engineer or Google Cloud Professional Cloud Architect certification. - Experience with multi-cloud and hybrid AI strategies (AWS, Azure). - Exposure to AI ethics, explainability, and compliance frameworks. - Industry expertise in banking, retail, healthcare, or telecom is a plus.

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