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
.
Robust 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
Robust 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 so

📌 Gemini Enterprise Ai Architect Bengaluru
🏢 Tata Consultancy Services
📍 Bengaluru