AI - Architect

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.    Summary  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   Required Capabilities  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 Los Angeles of