Google AI Architect

7 days ago

Bengaluru, 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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