Role Overview :

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

Key Responsibilities :

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

- Design and deploy intelligent AI agents using frameworks such as LangChain & LangGraph to enhance user experience and operational efficiency.

- Build and optimize NLP/document processing pipelines using GCP and Azure tech stacks.

- Lead 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.

- Implement scalable ML infrastructure with 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, FastAPI

- Cloud Platforms : GCP Vertex AI, Azure AI Foundry, Kubernetes

- DevOps & Automation : GitHub Actions

- Strong expertise in Generative AI, LLMs, and Agentic AI

Qualifications :

- Bachelors degree in Computer Science, Engineering, or a related field.

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

- Proven track record in designing and deploying enterprise-scale AI solutions.

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

Certifications (Preferred) :

- GCP and/or Azure certifications.