Google AI Architect

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.