Senior Associate, AI Engineer

KPMG is currently seeking a Senior Associate, AI Engineer to join our Advisory Services practice. Responsibilities Develop GenAI / LLM applications and integrations using foundational models under the guidance of senior team members Develop and test AI models, conversational agents, and workflow automation components under the guidance of senior team members Assist with data preparation, transformation, and validation to support AI/ML model training and deployment Configure and integrate AI solutions into enterprise applications (CRM, ERP, collaboration tools) using cloud platforms Document processes, code, and technical workflows to support knowledge sharing and project continuity; collaborate with project teams to troubleshoot technical issues and ensure solutions meet client requirements Stay current on emerging AI tools and frameworks, experimenting and applying them to real-world client projects Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications Minimum three years of recent professional or academic experience in AI/ML, data science, software engineering, or cloud technologies Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field; Master's degree from an accredited college or university a plus Experience with at least one major cloud AI platform (Azure AI, AWS AI/Bedrock, or Google Cloud Vertex AI) Proficiency in Python or another programming language commonly used in AI/ML Familiarity with conversational AI frameworks (LLM's, chatbots, virtual assistants, agents) and APIs Strong analytical skills and attention to detail with the ability to work in a team‑based, client‑focused environment Ability to travel as required Applicants must be authorized to work in the U.S. without the need for employment‑based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment‑based visa) Benefits and Compensation KPMG LLP and its affiliates and 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. Equal Employment Opportunity 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. KPMG complies with the California Fair Chance Act, Los Angeles County Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, and will consider qualified applicants with arrest and conviction records. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. #J-18808-Ljbffr Stryker