Gen-AI Solution Designer

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

Job Types: Full-time, Permanent

Pay: ₹3,300,000.00 - ₹3,900,000.00 per year

Benefits:

• Health insurance

Work Location: In person