AI - Data Engineer

About the role

Creative Artists Agency (CAA) is the leading entertainment and sports agency, with global expertise in filmed and live entertainment, digital media, publishing, sponsorship sales and endorsements, media finance, consumer investing, fashion, trademark licensing, and philanthropy. Distinguished by its culture of collaboration and exceptional client service, CAA's diverse workforce identifies, innovates, and amplifies opportunities for the people and organizations that shape culture and inspire the world. The trailblazer of the agency business, CAA was the first to build a sports business, create an investment bank, launch a venture fund, found technology start-up companies, establish a philanthropic arm, build a business in China, and form a brand marketing services division, among other innovations. Named Most Valuable Sports Agency by Forbes for eight consecutive years, CAA represents more than 2,000 of the world's top athletes in football, baseball, basketball, hockey, soccer, in addition to coaches, on-air broadcasters, and sports personalities and works in the areas of broadcast rights, corporate marketing initiatives, social impact, and sports properties for sales and sponsorship opportunities. Founded in 1975, CAA is headquartered in Los Angeles, and has offices in New York, Nashville, Memphis, Chicago, Miami, London, Munich, Geneva, Stockholm, Shanghai, and Beijing, among other locations globally. The AI Engineer is a member of a highly motivated CAA Tech team responsible for accelerating the creation of opportunity through the strategic use of data . In this role, you will design and build intelligent systems that transform complex information into structured knowledge and actionable insights using modern AI, machine learning, and generative approaches to solve complex business problems . You will operate across the full lifecycl e, from experimentation and evaluation to deployment and optimization , developing solutions that ingest, interpret, and reason over large volumes of data . The ideal candidate combines strong software engineering fundamentals with hands on experience building applied AI systems that operate reliably in production environments and deliver measurable business impact.