Spclst, AI & Data Engineering

Overview

Specialist in AI & Data Engineering designing, building, and evolving enterprise data and AI capabilities on Google Cloud.

What you'll do

• Lead scalable AI, data, and automation platform design on Google Cloud Platform, including secure landing zones and governance controls.
• Build and operationalize cloud-native AI/ML solutions using Vertex AI, BigQuery, Cloud Storage, Cloud Run, Cloud Functions, and related services.
• Architect secure enterprise integration patterns across APIs, data sources, event-driven workflows, pipelines, and model/agent workflows.
• Design automation and orchestration workflows using Python, TypeScript, APIs, serverless services, and CI/CD.
• Lead development and operational governance of AI agents, including tool calling, human-in-the-loop controls, monitoring, safety guardrails, and incident response.
• Operationalize ML, generative AI, and agentic AI via MLOps/LLMOps/AgentOps and ensure secure, observable, cost-efficient, production-ready platforms.

What you'll need

• 10-12 years overall technology experience (as stated in required qualifications).
• 4-5 years hands-on experience as an AI Engineer or AI Platforms Engineer with strong Google Cloud exposure (as stated in required qualifications).
• Strong GCP experience across Vertex AI, BigQuery, Cloud Storage, Cloud Run/Functions, IAM, VPC, Cloud Logging/Monitoring, Pub/Sub, APIs, and data pipelines.
• Strong understanding of generative AI fundamentals including RAG, embeddings, vector search, and model evaluation.
• Strong programming foundation in Python, TypeScript, JavaScript, APIs, and integration patterns.
• Proven experience with CI/CD for ML/AI workloads, prompt/model versioning, evaluation pipelines, and production support for AI systems.
• Proven ability to lead and mentor junior engineers and drive high-quality delivery.

Details

• Location: Bengaluru.