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 Google Cloud Platform/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: Google Cloud Platform 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)

• Google Cloud Platform and/or Azure