GEN AI Architect

Experience : 10+ Years

Work location : Bangalore, Chennai, Hyderabad, Pune – Remote

Designation : AI Solution Designer and Implementor

Shift Time : - 2 to 11 PM IST

Budget : 38-40 LPA

Role Overview

We are seeking a highly skilled and visionary AI Solution Designer and Implementor to lead the design, development, and deployment of advanced AI / ML solutions across Retail Analytics Engineering Platforms. This role demands deep expertise in Generative AI, LLMs, Agentic AI, and MLOps practices, with a strong focus on delivering scalable, production-ready systems.

Key Responsibilities

Architect and implement enterprise-scale AI / ML solutions including Generative AI, Agentic systems, and LLM applications ( including fine-tuning)

Design and deploy intelligent AI agents using frameworks like LangChain & LangGraph to enhance user experience and operational efficiency

Build and optimize NLP / document processing pipelines using GCP / Azure tech stack

Lead the development of Retrieval-Augmented Generation (RAG) systems and multi-agent architectures.

Establish and maintain robust LLMOps / MLOps practices for model lifecycle management.

Develop and deploy models using PyTorch, MLFlow, and FastAPI.

Ability to Implement scalable ML infrastructure, Kubernetes, and CI / CD automation (GitHub Actions)

Collaborate with cross-functional teams to drive cloud adoption and IT infrastructure modernization.

Required Skills & Technologies

AI / ML Tools : LangChain, LangGraph, PyTorch, MLFlow,

Cloud Platforms : GCP Vertex AI, Kubernetes

DevOps & Automation : GitHub Actions

Qualifications

Bachelor's degree in Computer Science, Engineering, or related field.

10+ years of experience in IT systems and AI / ML solution delivery.

Proven track record in designing and deploying enterprise AI solutions.

Strong understanding of cloud-native architectures and scalable AI infrastructure.

Certifications (Preferred)

GCP and / or Azure

Skills Required

Gcp, Pytorch, MLops, FastAPI, Azure, Kubernetes