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Gemini Enterprise AI Architect

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Onsite

Gemini Enterprise AI Architect

Tata Consultancy Services

Gemini Enterprise AI Architect

Skills

Google Cloud PlatformDockerPythonAIKubernetesCompliance

23 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

4 October 2026

What they need


Role: Gemini Enterprise AI Architect

Experience: 8–10 Years

Location: Any

Employment Type: Full-time

We are seeking an experienced Gemini Enterprise AI Architect to design, architect, and deliver enterprise-scale Generative AI solutions leveraging Google Gemini, Vertex AI, Agentic AI frameworks, RAG architectures, and enterprise cloud platforms . The ideal candidate will drive AI transformation initiatives, define AI architecture standards, and lead the implementation of scalable, secure, and responsible AI solutions across business functions.

Key Responsibilities

  • Design and architect end-to-end Gemini-powered AI solutions using Google Cloud Platform (GCP).
  • Build enterprise-grade RAG (Retrieval Augmented Generation) and Agentic AI architectures.
  • Implement AI applications using Gemini Models, Vertex AI, LangChain, LangGraph, Agent Development Kit (ADK), and Vector Databases .
  • Define AI governance, security, compliance, and Responsible AI frameworks.
  • Integrate AI solutions with enterprise applications, APIs, knowledge bases, and data platforms.
  • Lead architecture reviews, performance optimization, and AI solution scalability initiatives.
  • Mentor engineering teams and establish AI architecture best practices.
  • Collaborate with business stakeholders to identify and prioritize GenAI use cases.

Required Skills

  • 8–10 years of IT experience with at least 3+ years in Generative AI/LLM solutions .
  • Strong expertise in Google Gemini Enterprise, Vertex AI, Model Garden, AI Studio, and GCP services .
  • Hands-on experience with:
  • RAG Architectures
  • Agentic AI Systems
  • Vector Databases (Pinecone, Weaviate, Vertex AI Vector Search, Chroma)
  • LangChain / LangGraph
  • Prompt Engineering and Evaluation Frameworks
  • Strong programming expertise in Python .
  • Experience with Cloud Architecture, API Integration, MLOps, CI/CD, Docker, Kubernetes .
  • Knowledge of enterprise security, governance, and Responsible AI principles.
  • Excellent stakeholder management and solution design skills.

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