Senior Associate, AI Engineer

About the role

KPMG Advisory is at the forefront of transformation, offering excellent opportunities for career advancement and expertise development. Our professionals thrive in a collaborative, team-driven culture, with access to world-class training, leading market tools, and a wealth of learning and career development opportunities. We prioritize our people, fostering both personal and professional growth in an ever-changing market environment.

Responsibilities

• Translate advanced business analytics problems into technical approaches that yield actionable recommendations across diverse domains.
• Communicate technical details of solutions—including mathematical formulations, alternatives, and modeling impact—to business stakeholders in industries such as technology, financial services, emerging tech, government (federal, state, and local), and utilities.
• Plan engagement objectives, key deliverables, and deliver on milestones by following analytics processes.
• Work with clients to discover, retrieve, prepare, and process data from sources like social media, news, documents, emails, financial, and operational data.
• Collaborate internally with KPMG’s Tax, Audit, and Advisory teams to advance client understanding of Data Science, Artificial Intelligence, and Advanced Analytics.
• Partner with emerging technologies groups within AI service providers (e.g., AWS, GCP, Azure) to develop first-in-market solutions for complex business problems.
• Lead multi-disciplinary and cross-functional teams to rapidly iterate models and validate approaches in a fast-paced, dynamic environment with both virtual and in-person interactions.
• Utilize structured problem-solving approaches to manage risks, responsibilities, and operational excellence.
• Communicate results to executive-level audiences.
• Build, review, and quality-control code for data preparation, extraction, and enrichment, working with the business to understand data resources and constraints.
• Lead teams in exploratory data analysis, hypothesis testing, and uncovering trends and relationships.
• Provide expert oversight for teams building machine learning algorithms and data science solutions.
• Uphold KPMG’s respectful and courteous work environment with integrity, professionalism, and personal responsibility.

Qualifications

• Minimum of three years of experience leading teams of at least five data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval.
• Multidisciplinary background.
• Master’s degree from an accredited college/university in Computer Science, Statistics, Data Science, Engineering, or related fields; PhD preferred.
• Proficiency in delivering analytics projects using leading processes, including expert knowledge of data discovery, cleaning, model selection, validation, and deployment.
• Ability to work with teams and clients to assess needs, provide assistance, and resolve problems.
• Experience applying artificial intelligence techniques to achieve concrete business goals, including understanding data resources, processing platforms, and security constraints.
• Fluency in Python or R; experience with SQL and cloud technology preferred.
• Experience with command-line scripting, data structures, and algorithms; ability to work in Linux and/or cloud environments.
• Ability to write production-level code.
• Must be authorized to work in the U.S. without employment-based visa sponsorship now or in the future.
• Ability to travel.

Benefits

KPMG offers a comprehensive compensation and benefits package, including:

• A variety of medical, dental, and vision plans.
• 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, based on job classification, standard work hours, and years of service.
• Two annual breaks where employees are not required to use Personal Time Off: one at year-end and another around the July 4th holiday.
• Paid holidays as per KPMG’s published calendar.

Additional details about benefits can be found on the KPMG US Careers site.

Pay

KPMG complies with all local and state regulations regarding salary transparency. Salary ranges are determined based on factors such as skills, job responsibilities, prior relevant experience, degrees, certifications, and market considerations. For roles outside California, salary ranges by city can be found here.