Sr. Associate, Data Engineering & AI

Responsibilities

• 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
• Develop advanced LLM-based systems leveraging Retrieval-Augmented Generation (RAG), fine-tuning, and vector search for context-aware reasoning
• Build 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

Qualifications

• Minimum three years of full systems development lifecycle (SDLC) experience in software 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

Benefits

KPMG offers a comprehensive compensation and benefits package including:

• Medical and dental plans
• Vision coverage
• Disability and life insurance
• 401(k) plans
• A robust suite of personal well-being benefits to support mental health
• Personal Time Off per fiscal year
• Calendars of holidays to be observed during the year
• Additional details about benefits can be found on the KPMG US Careers site

KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws.