Responsibilities
- Incorporate generative AI and artificial intelligence tools, including large language models and diffusion models, into robust, scalable production pipelines
- Automate routine tasks such as data processing, asset management, rendering, and version control to increase throughput
- Build internal utilities and automation scripts, primarily in Python, to standardize workflows across departments
- Turn experimental AI features into reliable, production-grade solutions
- Design flexible and expandable workflow architectures that span platforms, teams, and software environments
- Plan and manage data movement between AI systems, creative applications, and production infrastructure
- Assess emerging technologies and integrate them into current systems without compromising operational continuity
- Maintain high standards for system performance, scalability, and long-term maintainability
- Simplify complex software ecosystems by introducing clear structure and reducing operational overhead
- Bridge creative, technical, and AI disciplines to ensure systems are accessible and usable for production staff
- Work closely with artists, designers, developers, and AI specialists to align tooling with project needs
- Empower teams by developing reusable templates, tools, and standardized workflows
- Support initiatives from early concept stages through to full deployment
- Contribute to technical strategy, proof-of-concept development, and innovation projects
