Google AI Architect

3 weeks ago

Bengaluru, India Movate Full time

Job title:Google AI ArchitectLocation:Bangalore, Chennai, Hyderabad and Pune Experience:14+ YearsSummary: We are seeking a highly experiencedGoogle AI Architectto lead the design, development, and deployment of advanced AI/ML solutions leveragingGoogle Cloud Platform (GCP)andVertex 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 driveAI/ML architecture strategiesusing GCP services (Vertex AI, BigQuery ML, TensorFlow, Generative AI Studio). LeadAI solution design and implementationacross enterprise applications, data platforms, and customer-facing products. Architect and deployscalable, secure, and cost-optimized AI/ML solutionsin cloud and hybrid environments. Collaborate withdata scientists, ML engineers, and business stakeholdersto translate business challenges into AI-driven solutions. Evaluate and integrateGenAI, LLMs, Agentic AI, and conversational AI platformsfor enterprise use cases. Providetechnical leadership and governance, ensuring best practices in AI architecture, model lifecycle management (MLOps), and responsible AI. Mentor and guide engineering teams onAI/ML frameworks, pipelines, and cloud-native development. Stay updated with emergingAI trends, Google Cloud innovations, and industry practicesto influence strategic roadmaps.Required Skills: 15–18 years of overall IT experience, withat least 6–8 years in AI/ML architecture and solutioning. Deep expertise inGoogle Cloud Platform (GCP)– Vertex AI, BigQuery, AI/ML APIs, TensorFlow, AutoML, and Dataflow. Strong knowledge ofGenerative AI, LLMs, prompt engineering, RAG (Retrieval-Augmented Generation), andAgentic AI systems. Hands-on experience inMLOps, CI/CD for ML, model governance, and monitoring. Proven track record in designing and deployingenterprise-scale AI/ML solutions. Proficiency inPython, Java, or Scalawith strong knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn). Solid understanding ofdata engineering, data lakes, ETL pipelines, and API-driven integrations. Strong expertise inenterprise architecture frameworks(TOGAF, Zachman, etc.) and microservices/cloud-native patterns. Excellent leadership, communication, and stakeholder management skills.Desired Skills: Google Cloud Professional Machine Learning EngineerorGoogle Cloud Professional Cloud Architectcertification. Experience withmulti-cloud and hybrid AI strategies(AWS, Azure). Exposure toAI ethics, explainability, and compliance frameworks. Industry expertise inbanking, retail, healthcare, or telecomis a plus.

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