Description

You will architect and deploy enterprise-scale AI solutions, focusing on LLMs, agentic workflows, and secure data pipelines.

This role is remote.

Responsibilities

• Architect and optimize large language models and agentic AI workflows for business automation.
• Design and deploy AI solutions using LangChain and LangGraph for agent orchestration.
• Develop and manage Model Context Protocol (MCP)-based solutions for context-aware model deployment.
• Build scalable, secure data pipelines using AWS and Snowflake for structured and unstructured data.
• Partner with cross-functional teams to deliver integrated solutions while ensuring compliance.

Required Skills

• 8+ years of experience in data engineering or AI solution development.
• Proven expertise in Large Language Models (LLMs) and agentic AI systems.
• Hands-on experience with LLM deployment, fine-tuning, and integration, including RAG.
• Strong experience with Snowflake and AWS services (Glue, S3, Lambda, SageMaker).
• Expertise in Model Context Protocol (MCP) for context-aware model deployment.
• Proficiency in frameworks such as LangChain and LangGraph.
• Deep understanding of AI/ML frameworks, data pipelines, and cloud-native architectures.
• Knowledge of data governance, security, and compliance best practices, particularly in financial services.

Key Skills

Education

Any Graduate