GCP Data and AI Engineer, AVP

Overview

Lead the architecture and hands-on delivery of complex data and generative AI solutions on GCP as a senior individual contributor. Own solutions from design through production deployment and provide technical guidance on complex engineering and production issues.

What you'll do

• Design and operationalize production-grade RAG and AI applications on GCP.
• Train, fine-tune, and deploy models using Vertex AI.
• Develop agentic workflows, conversational AI solutions, and multi-agent systems.
• Build Python REST APIs as containerized applications on Cloud Run.
• Design scalable batch and streaming pipelines using Python, SQL, Cloud Composer, and Pub/Sub.
• Deploy infrastructure with Terraform and manage CI/CD pipelines.
• Resolve complex L3 production issues and support security and governance controls.

What you'll need

• 10+ years of IT experience as a hands-on engineer.
• Deep proficiency in Python and advanced SQL.
• Extensive hands-on experience building solutions on GCP.
• Production experience with BigQuery, Cloud Composer or Apache Airflow, and Cloud Run.
• Proficiency with Terraform and CI/CD pipelines using Cloud Build and Artifact Registry.
• Experience with system design, distributed systems, RAG systems, LLMs, vector databases, and embedding models.
• Experience with Gemini Enterprise Agent Platform, Google ADK, Dialogflow CX or CX Agent Studio, and Docker.

Nice to have

• Experience with Azure or AWS.
• Knowledge of A2A protocol and agent cards.

Details

• Location: Pune, India.