Google AI Architect

7 days ago

Bengaluru, India Movate Full time

Job title : Google AI Architect Location: Bangalore, Chennai, Hyderabad and Pune Experience: 14+ Years Summary: 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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