AI - Architect

Creative Artists Agency•Los Angeles, CA

About The Position

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 lifecycle, 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.

Requirements

Minimum 10+ years building AI, Machine Learning 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
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)
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

Nice To Haves

Master’s Degree in relevant discipline preferred
Experience with Natural Language Processing methods and applications preferred
Familiarity with data privacy considerations and AI

Responsibilities

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
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
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
Work closely with cross-functional teams 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