AI Architect
1 week ago
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 (Preferred) :
- GCP and/or Azure certifications.
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