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Business Support Services / Experienced / Senior Associate
Sr. Associate, Data Engineering & AI
; Richmond, VA; Rochester, NY; Salt Lake City, UT; San Antonio, TX; Short Hills, NJ; Shreveport, LA; St Louis, MO; Tallahassee, FL; Tampa, FL; Tempe, AZ; Virginia Beach, VA; Winston-Salem, NC
134351
Career Level Requirement
Experienced
Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking a Sr Associate, Data Engineering & AI to join our Digital Nexus technology team.
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
- 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
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
KPMG LLP and its subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.
Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=8148_9_26
KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. 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. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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