Architect - Google Vertex AI & Databricks (Agentic AI Solutions) @NTT DATA
Software Development
Salary unspecified
Remote Location
remote India
Job Type full-time
Posted 2d ago

[Hiring] Architect - Google Vertex AI & Databricks (Agentic AI Solutions) @NTT DATA

2d ago - NTT DATA is hiring a remote Architect - Google Vertex AI & Databricks (Agentic AI Solutions). 💸 Salary: unspecified 📍Location: India

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

This role involves designing and implementing advanced AI systems and architectures.

  • Design end-to-end agentic AI systems integrating Vertex AI Agent Builder, Gemini models, and Databricks Mosaic AI Agent Framework.
  • Develop hybrid architectures where Databricks is the governed data and tool plane, and Vertex AI is the reasoning/LLM runtime.
  • Define patterns for RAG, tool calling, workflow orchestration, and multi-agent systems.
  • Architect secure connectivity between Google Cloud and Databricks using IAM, service accounts, and workload identity federation.
  • Architect AI/analytics systems using Delta Lake, Unity Catalog, Databricks SQL, MLflow, and Databricks Vector Search.
  • Develop governed toolsets (SQL tools, Python functions, REST connectors) for agent use cases.
  • Optimize pipelines using Delta Live Tables, streaming architectures, and feature/embedding stores.
  • Implement and optimize Gemini 1.5/2.0/2.5 Pro, Flash, and Nano models on Vertex AI.
  • Build production agents using Vertex AI Agent Builder with tool integrations, schema-based prompts, grounding, and observability.
  • Leverage Model Garden, Model Armor, Evaluation, and Realtime Inference APIs for secure and compliant deployment.
  • Build enterprise-grade agent-based systems with robust tool-use, grounding, error recovery, and structured outputs.
  • Reference architectures for LLM-powered copilots, autonomous data/ops agents, customer support/search agents, and supply-chain or financial intelligence agents.
  • Integrate RAG using vector stores, embedding pipelines, and multimodal grounding.
  • Define CI/CD for AI workloads using MLflow, GitHub/GitLab, Cloud Build, or Azure DevOps.
  • Implement observability dashboards for latency, tokens, tool calls, success rate, and hallucination metrics.
  • Apply data/AI governance policies, lineage, and security using Unity Catalog, Vertex Model Armor, GCP IAM, and secrets management.
  • Work with cross-functional teams (data engineering, cloud, infra, product) to deliver high-impact AI platforms.
  • Mentor teams on generative AI, Databricks Lakehouse, GCP, and modern agentic paradigms.
  • Translate business objectives into solution architectures and technical roadmaps.

Qualifications

  • 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.
Before You Apply
remote Be aware of the location restriction for this remote position: India
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Architect - Google Vertex AI & Databricks (Agentic AI Solutions) @NTT DATA
Software Development
Salary unspecified
Remote Location
remote India
Job Type full-time
Posted 2d ago
Apply for this position Unlock 73,567 Remote Jobs
remote Be aware of the location restriction for this remote position: India
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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