Lead AI Data Engineer

Lead AI Data Engineer – Job Description

We are looking for a highly skilled Lead AI Data Engineer to design, develop, and deploy scalable AI-driven data solutions. The ideal candidate will have hands-on experience with Agentic AI, GPT-based applications, and LangGraph orchestration , combined with strong expertise in modern data engineering platforms.

Key Responsibilities:

• Design and implement Agentic AI solutions leveraging GPT/LLM models for workflow automation and intelligent decision-making.
• Build and orchestrate multi-agent AI systems using LangGraph.
• Develop and manage end-to-end data pipelines using Azure Databricks, Microsoft Fabric, and Snowflake.
• Integrate AI applications with enterprise systems through APIs and microservices.
• Lead the development of scalable data architectures using Python and PySpark.
• Collaborate with cross-functional teams to deliver AI-powered analytics and business solutions.
• Mentor engineers and drive best practices in AI engineering and data platform development.

Required Skills:

• Strong experience in Agentic AI, GPT/LLM implementation, and AI orchestration frameworks.
• Expertise in LangGraph, Python, and PySpark.
• Hands-on experience with Azure Databricks, Microsoft Fabric, and Snowflake.
• Strong knowledge of API development, cloud platforms, and data engineering best practices.
• Experience leading technical teams and delivering enterprise-scale AI solutions.

About EXL

EXL is a leading global analytics, digital operations, and AI-driven business solutions company. Headquartered in the United States, EXL helps organizations transform their operations through data, analytics, artificial intelligence, cloud technologies, and digital transformation services. The company serves clients across industries including insurance, healthcare, banking, financial services, retail, logistics, and utilities, enabling businesses to improve efficiency, customer experience, and decision-making through advanced data and AI solutions.