AI Architect

About this role

Job Description

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

The   AI   Architect   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   architect intelligent systems   that transform complex   information   into structured knowledge and actionable insights using modern AI,   LLMs,   machine learning, and generative   approaches   to solve complex business problems , while defining architectural patterns, technical standards, and integration approaches that enable scalable enterprise adoption   and implementation .   You will   operate   across the full lifecycl e,   from experimentation and evaluation to deployment and   optimization ,   guiding system design and   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   and architecting   applied AI systems that   operate   reliably in production environments ,   establish   best practices,   and deliver measurable business impact.  

Responsibilities

AI Architecture  

• Define and evolve reference architectures for AI, machine learning, and generative AI systems  

• Establish technical standards, patterns, and best practices for scalable and secure AI development  

• Guide platform decisions across data, model development ,   and deployment infrastructure  

• Evaluate and recommend tools, frameworks, and vendors aligned with long   term architectural direction  

Development of   AI   Solutions

• Design and implement end   to   end AI workflows for   complex 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, evaluate   approaches ,   test feasibility,   and productionize generative AI solutions for real   world 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 deployed   solutions   and data pipelines for performance, stability, and data quality over time  

• Incorporate responsible AI practices including transparency, bias mitigation, and risk controls  

Collaboration and Communication  

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

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

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

Qualifications

• Minimum   10+   years building   AI, M achine   L earning   and   NLP solutions  

• Minimum   5+   years building applied AI /LLM and   generative systems   in production environments  

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

• Experience designing enterprise scale AI and data architectures  

• Experience with real   time and batch processing architectures  

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

• Experience with information retrieval, semantic search, or knowledge   driven systems  

• Experience   with   relational,   non   relational   and semantic data stores  

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

• Experience with Natural Language Processing methods and applications preferred  

• Familiarity with data privacy considerations   and AI  

• Excellent analytical and   problem   solving   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 o

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