Creative Artists Agency

Artificial Intelligence

• 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

AI Architect