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Who We Are

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 Role

TheAIEngineeris a member of a highlymotivated CAATechteam 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 complexinformationinto structured knowledge and actionable insights using modern AI, machine learning, and generativeapproachesto solve complex business problems.You willoperateacross the full lifecycle,from experimentation and evaluation to deployment andoptimization,developingsolutionsthat ingest, interpret, and reason over large volumes ofdata. The ideal candidate combines strong software engineering fundamentals with handson experience building applied AI systems that operate reliably in production environments and deliver measurable business impact.

Responsibilities

Development ofAISolutions

• Design and implement endtoend AI workflows forcomplex data interpretation, knowledge extraction, and reasoning

• Build systems that convert unstructured content into structured representations

• Develop and optimize retrieval approaches that combine semantic and lexical search techniques

• Prototype, evaluateapproaches,test feasibility,and productionize generative AI solutions for realworld use cases

• Partner with engineering teams to develop technology infrastructure

• Optimize systems for latency, cost, and throughput

Evaluation, Reliability, and Quality

• Design and implement evaluation approaches to assess performance, relevance, and effectiveness of AI solutions

• Apply techniques to improve consistency, accuracy, and trustworthiness of outputs

• Implement methods for scoring, explainability, and ongoing quality assurance

• Monitor deployedsolutionsand data pipelines for performance, stability, and data quality over time

Data Wrangling:

• Identify data sources that can be useful to answer business questions

• Perform experiments on ingested data to evaluate quality and integrity

• Build data pipelines for ongoing data extraction

Collaboration and Communication

• Work closely with crossfunctional team to align data science initiatives with business priorities

• Partner with leadership to identify and prioritize highimpact opportunities for data science applications

• Present insights and recommendations through clear visualizations tailored for audiences across different roles and expertise levels

Qualifications

• Minium of6years buildingAI, MachineLearningandNLP solutions

• Minimum 3 years building applied AI/LLM andgenerative systemsin production environments

• Bachelor's degree in a relevant field such Mathematics, Science, Engineering, or Computer Science.Master's Degree in relevant discipline preferred

• Strong programming skills in Python and experience building data and AI pipelines

• Experience with information retrieval, semantic search, or knowledgedriven systems

• Experiencewithrelational,nonrelational and semantic data stores

• Strong software engineering fundamentals (APIs, system design, testing, version control)

• Experience with Natural Language Processing methods and applications preferred

• Excellent analytical and problemsolving skills

• Demonstrated initiative and ownership of tasks and projects

• Ability to prioritize, coordinate, and complete tasks to meet deadlines

• Ability to work effectively both independently and in team environments

• Ability to present complex problems in simple terms
  

Location
This role is hybrid, based in our Nashville office.

Compensation

The annual base salary for this position is in the range of $129,000 - $150,000 in Nashville. This position is also eligible for benefits and a discretionary bonus. Ultimately, the salary may vary based upon, but not limited to, relevant experience, time in the role, business sector, and geographic location, among other criteria. Please talk with a CAA Recruiter to learn more.