Role- Gemini Enterprise AI Architect

Desired Experience Range- 8-10 Years

Location- Pan India

Job Summary-

We are looking for an experienced Gemini Enterprise AI Architect to design enterprise-scale Generative AI and Agentic AI solutions on Google Cloud. The candidate should have solid expertise in Gemini Enterprise, Generative AI, LLMs, RAG, AI agents, Google Cloud architecture, security, governance, and enterprise integration.

Roles & Responsibilities-

- Design end-to-end Generative AI and Agentic AI architectures using Gemini Enterprise.
- Architect enterprise AI agents and multi-agent solutions.
- Design RAG (Retrieval-Augmented Generation) architectures for grounding AI applications with enterprise data. Google's reference architecture uses Gemini Enterprise and Agent Platform for end-to-end RAG data flows. [docs.cloud...google.com]
- Design solutions using Agent Development Kit (ADK), Agent Studio, RAG Engine, Vector Search, Agent Engine, and related Gemini Enterprise capabilities. [docs.cloud...google.com]




- Define integration patterns between AI agents, enterprise applications, APIs, and organizational data.
- Design agent orchestration, conversational session management, memory, and enterprise search/retrieval solutions.
- Establish architecture standards for security, governance, scalability, reliability, and responsible AI.
- Define LLM evaluation, monitoring, deployment, and optimization approaches.
- Work with engineering, data, security, and business teams to convert AI use cases into production-ready architectures.
- Provide technical leadership and architecture guidance to AI/ML and application development teams.

Mandatory Skills

- Gemini Enterprise
- Google Cloud / GCP
- Generative AI
- LLMs
- Agentic AI / AI Agents
- RAG
- Prompt Engineering
- Enterprise AI Architecture
- Python
- REST APIs / API Integration
- Vector Search / Vector Databases
- AI Security & Governance

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