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Creative Artists Agency

AI Architect

Creative Artists Agency

AI Architect at Creative Artists Agency designing and architecting systems for intelligent data transformation and insights. Collaborating with cross-functional teams on advanced AI solutions.

Posted 6/10/2026full-timeLos Angeles • California, Tennessee • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • 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 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

Requirements

What you’ll need
  • 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)
  • 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

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
AImachine learninggenerative AINLPPythondata architecturesinformation retrievalsemantic searchdata pipelinessoftware engineering
Soft Skills
analytical skillsproblem solvinginitiativeownershipprioritizationcoordinationdeadline managementindependenceteamworkcommunication