AI Architect

Creative Artists Agency; Los Angeles (CA); On-site; USD 232,000 - 260,000; Full time

Benefits offered by this job

Discretionary bonus

Benefits

Job summary

Creative Artists Agency is seeking an AI Architect to be part of a motivated tech team in Los Angeles, focusing on building and architecting AI systems. The successful candidate will guide system design and develop solutions that process large volumes of data effectively.

This hybrid role demands strong leadership and collaboration with cross-functional teams. Required qualifications include extensive experience in machine learning, NLP, and software engineering practices. The mentioned salary range is $232,000 – $260,000, with benefits included.

Qualifications

• Minimum 10+ years building AI, Machine Learning, and NLP solutions.
• Minimum 5+ years building applied AI/LLM and generative systems in production environments.
• Experience designing enterprise-scale AI and data architectures.

Responsibilities

• Define and evolve reference architectures for AI and machine learning systems.
• Design and implement end-to-end AI workflows for complex data interpretation.
• Optimize systems for latency, cost, and throughput.

Skills

AI and Machine Learning solutions

Natural Language Processing (NLP)

Python programming

Information retrieval

Software engineering fundamentals

Education

Bachelor’s degree in Mathematics, Science, Engineering, or Computer Science

Master’s degree preferred

Tools

AI pipelines

Relational and non-relational data stores

Job description

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 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.

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 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.
• Collaboration and Communication 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.

Required Capabilities

• 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 as Mathematics, Science, Engineering, or Computer Science; Master’s 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 office.

Compensation

The annual base salary for this position is in the range of $232,000 – $260,000 in Los Angeles, CA. This position is also eligible for benefits and a discretionary bonus. Salary may vary based on experience, role duration, business sector, and geographic location.

Equal Employment Opportunity

Creative Artists Agency, LLC (the “Company”) is committed to a policy of Equal Employment Opportunity and will not discriminate on the basis of race (inclusive of traits historically associated with race, including hair texture and protective hairstyles), color, religion, creed, gender or sex (including pregnancy, childbirth, breastfeeding or related medical conditions), national origin, ancestry, age, physical disability, mental disability, medical condition, genetic information, family and medical care leave status, military or veteran status, marital status, family status, sexual orientation, gender identity, gender expression, political affiliation, an employee’s or their dependent’s reproductive health decision making (e.g., the decision to use or access a particular drug, device or medical service), or any other characteristic protected by applicable law. The absence of a permanent address is not a bar to employment. The Company does not discriminate against individuals based on housing status, including the absence of a fixed address. The Company also complies with the Americans with Disabilities Act and applicable state and local laws with regard to providing reasonable accommodation for qualified individuals with disabilities.