Gemini Enterprise AI Architect

Tata Consultancy Services Limited; Pune District, Chennai, Bengaluru; À distance; INR 1 200 000 - 2 500 000; Plein temps

Résumé du poste

Tata Consultancy Services Limited in Pan India seeks an experienced Gemini Enterprise AI Architect to design enterprise-scale Generative AI and Agentic AI solutions on Google Cloud. The candidate will lead architecture for Gemini Enterprise, LLMs, RAG, AI agents, security and governance across complex enterprise data.

Responsibilities include end-to-end architecture design, agent orchestration, memory management, and integration with enterprise apps.

Qualifications

• Experience with Gemini Enterprise and Google Cloud is required.
• Strong background in Generative AI, LLMs, and RAG architectures.
• Experience designing enterprise AI architectures and security governance.

Responsabilités

• Design end-to-end Generative AI and Agentic AI architectures using Gemini Enterprise.
• Architect enterprise AI agents and multi-agent solutions.
• Design RAG architectures for grounding AI with enterprise data.
• Utilize ADK/Agent Studio, RAG Engine, and Vector Search in Gemini.
• Define integration patterns between AI agents and enterprise data.
• Define agent orchestration, memory, and enterprise search solutions.
• Establish security, governance, scalability, and responsible AI standards.
• Define LLM evaluation, monitoring, deployment and optimization approaches.
• Collaborate with engineering, data, security and business teams to productionize use cases.
• Provide technical leadership to AI/ML and app development teams.

Connaissances

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

Description du poste

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 strong 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