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AI Architect
Creative Artists AgencyAI Architect at Creative Artists Agency designing and architecting systems for intelligent data transformation and insights. Collaborating with cross-functional teams on advanced AI solutions.
Tech Stack
Tools & technologiesPython
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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AImachine learninggenerative AINLPPythondata architecturesinformation retrievalsemantic searchdata pipelinessoftware engineering
Soft Skills
analytical skillsproblem solvinginitiativeownershipprioritizationcoordinationdeadline managementindependenceteamworkcommunication