Description

Lead solution architecture and development for generative AI applications, focusing on RAG systems and advanced data science solutions.

This role is hybrid.

Responsibilities

• Design and implement scalable AI solutions and data architectures.
• Develop Retrieval-Augmented Generation (RAG) pipelines for enterprise applications.
• Architect end-to-end generative AI workflows and integrations.
• Optimize model performance and data processing efficiency.

Required Skills

• 15+ years of experience in data science and AI solution architecture.
• Deep expertise in Generative AI technologies and frameworks.
• Proven experience building and deploying RAG (Retrieval-Augmented Generation) systems.
• Strong background in Python, SQL, and data engineering.
• Experience with large language models (LLMs) and vector databases.
• Ability to translate business requirements into technical AI solutions.
• Strong understanding of machine learning algorithms and statistical modeling.

Preferred Skills

• Experience with cloud-based AI services (AWS, Azure, or GCP).
• Publications or contributions to open-source AI projects.

Key Skills

Education

Any Graduate