Architect - Google Vertex AI & Databricks

Role Overview: As an Architect specializing in Google Vertex AI & Databricks at NTT DATA in Bangalore, Karnataka, India, you will be responsible for designing end-to-end agentic AI systems, optimizing Databricks Lakehouse, implementing Google Cloud and Vertex AI solutions, building enterprise-grade agent-based systems, defining MLOps, DevOps & Governance practices, and leading technical initiatives to deliver high-impact AI platforms. Key Responsibilities: - Design end-to-end agentic AI systems integrating Vertex AI Agent Builder, Gemini models, and Databricks Mosaic AI Agent Framework. - Develop hybrid architectures using Databricks as the governed data and tool plane, and Vertex AI as the reasoning/LLM runtime. - Architect secure connectivity between Google Cloud and Databricks utilizing IAM, service accounts, and workload identity federation. - Architect AI/analytics systems using Delta Lake, Unity Catalog, Databricks SQL, MLflow, and Databricks Vector Search. - Implement and optimize Gemini models on Vertex AI, build production agents using Vertex AI Agent Builder, and leverage various APIs for deployment. - Build enterprise-grade agent-based systems with robust tool-use, grounding, error recovery, and structured outputs. - Define CI/CD for AI workloads, implement observability dashboards, and apply data/AI governance policies. - Work with cross-functional teams to deliver high-impact AI platforms, mentor teams, and translate business objectives into technical roadmaps. Qualifications Required: - 10+ years of experience in Data Engineering / ML / Cloud Architecture. - Expertise in Databricks (Delta Lake, DLT, SQL, UC, MLflow, Mosaic AI). - Strong hands-on experience with Google Cloud (BigQuery, Vertex AI, Cloud Run, GCS, IAM). - Experience building agentic AI systems with Vertex AI or Databricks Mosaic tools. - Strong programming background in Python (LangChain/Agent frameworks optional but beneficial). - Expertise in RAG pipelines, prompting, schema-based prompting, and retrieval optimization. - Experience deploying and scaling AI solutions in production. (Note: The additional details about NTT DATA provided in the job description have been omitted for brevity),