Sr. Associate, Data Engineering & AI

• Design, build, and manage the full lifecycle of scalable data pipelines and orchestration processes ingesting data into Azure Data Lake
• Design and deploy enterprise GenAI applications, intelligent automation systems, and agentic workflows to drive delivery transformation
• Build advanced LLM-based systems leveraging Retrieval-Augmented Generation (RAG), fine-tuning, and vector search for context-aware reasoning
• Develop high-performance AI pipelines across Databricks, Azure AI Foundry, and Google Vertex AI using Python and PySpark to integrate structured and unstructured data
• Architect dynamic, multi-agent systems (using LangChain/LangGraph) and build reusable Python frameworks for complex multi-step reasoning and tool usage
• Establish best practices for AI system evaluation, monitoring, governance, and continuous improvement using feedback loops and human-in-the-loop validation
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

• Minimum three years of full systems development lifecycle (SDLC) experience in so ftware engineering, data engineering, or AI/ML roles

• Bachelor's degree from an accredited college or university is preferred; High School diploma or GED required

• Strong proficiency in Python, SQL, and Azure technologies (ADF, ADB, Key Vault), with deep knowledge of Databricks, PySpark, and enterprise data management

• Proven experience with modern LLM tooling (LangChain, LangGraph, vector databases) and deploying stateful/agentic workflows on cloud AI platforms (Azure AI Foundry, Vertex AI)

• Excellent analytical, communication, and Agile project management skills, with the ability to foster high-performance teams and collaborate across all organizational levels

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