GCP Data & AI Engineer, AS

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 pipelines and AI applications on GCP.
• Build, deploy, and manage generative AI models and agentic workflows.
• Develop secure, versioned, tested, and containerized Python REST APIs on Cloud Run.
• Design and maintain scalable batch and streaming pipelines using Python, SQL, Cloud Composer, and Pub/Sub.
• Develop Terraform infrastructure and CI/CD pipelines for data and AI applications.
• Implement security, governance, testing, deployment, and operational controls.
• Resolve complex L3 production issues and provide expert troubleshooting.

What you'll need

• 6–10 years of hands-on IT engineering experience with large-scale production data systems.
• Deep proficiency in Python and advanced SQL.
• Extensive hands-on experience building solutions on GCP.
• Production mastery of BigQuery, Cloud Composer or Apache Airflow, and Cloud Run.
• Proficiency with Terraform and CI/CD tools including Cloud Build and Artifact Registry.
• Experience with distributed systems, modern data patterns, and architectural design.
• Experience building production RAG systems, conversational AI, agentic applications, and multi-agent systems.

Nice to have

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

Details

• Location: Pune, India.
• Role level: AVP and Senior individual contributor.