AI Architect - GCP/Gemini - Bangalore

Dappverse Computing Chennai

Bengaluru

Hybrid

INR 700,000 - 1,200,000

Full time

5 days ago

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Job summary

Dappverse Computing Chennai seeks an AI Architect with extensive experience in GCP and Gemini to design enterprise-class AI/ML solutions. You will lead architecture decisions, collaborate with stakeholders, and guide data scientists and engineers in building scalable AI platforms.

The role emphasizes Generative AI, LLMs, and responsible AI practices, with strong focus on security, performance, and cost optimization on Google Cloud. Proven leadership is required.

Qualifications

16+ years IT experience with 4+ years in AI/ML architecture.
2+ years hands-on with Google Cloud Platform/Gemini.

Responsibilities

Define AI/ML architecture and technical strategy for enterprise applications.
Design scalable Generative AI and LLM-based solutions using GCP.
Architect end-to-end AI platforms covering data ingestion, model development, deployment, monitoring and governance.
Design and implement RAG, vector search, semantic search and knowledge-based AI solutions.
Collaborate with data engineers to build AI-ready data pipelines and platforms.
Lead development of AI applications using Python and AI/ML frameworks.
Establish MLOps/LLMOps practices for deployment and monitoring.

Skills

Python

Generative AI

LLM integration

MLOps

Education

Bachelor's or Master's in CS/AI/DS

Tools

GCP services

Vertex AI

BigQuery

Dataflow

GKE

Cloud Run

Job description

AI Architect GCP/Gemini

Experience

16+ years overall IT experience, with 4+ years in AI/ML architecture and 2+ years of hands‑on experience with Google Cloud Platform/Gemini.

Job Location

Bangalore

Role Overview

We are looking for a highly experienced AI Architect – GCP/Gemini to design and lead enterprise‑grade AI/ML solutions on Google Cloud Platform/Gemini. The ideal candidate will have strong expertise in Generative AI, LLMs, Machine Learning, Python, GCP services, data platforms, and AI solution architecture. The candidate will work closely with business stakeholders, engineering teams, data scientists, and technology leadership to define AI strategies and build scalable, secure, and production‑ready AI solutions.

Key Responsibilities

Define AI/ML architecture and technical strategy for enterprise applications.
Design scalable Generative AI and LLM-based solutions using GCP.
Architect end-to-end AI platforms covering data ingestion, model development, deployment, monitoring, and governance.
Design and implement RAG (Retrieval-Augmented Generation), vector search, semantic search, and knowledge-based AI solutions.
Work with Google Vertex AI, Gemini models, Model Garden and other GCP AI/ML services.
Design AI solutions using BigQuery, Cloud Storage, Cloud Run, GKE, Pub/Sub, Dataflow, Dataproc and related GCP services.
Lead development of AI applications using Python and relevant AI/ML frameworks.
Define architecture for LLM integration, prompt engineering, embeddings, vector databases and AI agents.
Establish MLOps/LLMOps practices for model deployment, monitoring, versioning and continuous improvement.
Ensure solutions meet enterprise requirements for security, scalability, performance, reliability and cost optimization.
Collaborate with data engineering teams to build AI-ready data pipelines and data platforms.
Evaluate new AI technologies, models and frameworks and recommend appropriate solutions.
Provide technical leadership and mentor AI/ML engineers and architects.
Participate in client discussions, architecture reviews, POCs and technical presentations.