Associate, AI Engineer

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. 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 one 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 KPMG offers a comprehensive compensation and benefits package, including medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and personal well-being benefits to support mental health. Standard work hours, personal time off, and holiday schedules are available based on job classification and years of service. EEO KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. KPMG is an equal opportunity employer and 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. Location & Criminal Background 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. Pursuant to the California Fair Chance Act and related ordinances, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr Stryker