VFX AI Pipeline - thelab

Position Summary:

The VFX AI Pipeline Engineer is responsible for designing, developing, and maintaining the infrastructure that integrates artificial intelligence and machine learning into Wellcom's CGI and visual effects production pipeline. Working within HOME, Wellcom's AI-enabled production ecosystem, this role bridges traditional VFX applications with AI-native technologies to create scalable, artist-friendly workflows that enhance efficiency without compromising creative quality.

Acting as the connection between software engineering, pipeline development, and production, the VFX AI Pipeline Engineer builds intelligent tools that automate repetitive processes, accelerate asset creation, and enable creative teams to leverage AI throughout the production lifecycle. This role collaborates closely with CGI Supervisors, Compositing Artists, Developers, Creative Technologists, and Production teams to continuously evolve HOME's AI capabilities.

Key Responsibilities:

AI Pipeline Integration

• Architect, develop, and maintain AI-enhanced production solutions that integrate seamlessly into existing VFX and CGI pipelines.
• Build custom tools, APIs, and services that connect traditional DCC applications—including 3ds Max, Maya, Houdini, Nuke, and Fusion—with AI generation platforms and machine learning models.
• Ensure AI workflows are scalable, secure, reliable, and production-ready within HOME.
• Collaborate with pipeline engineers and software developers to optimize performance and interoperability across production systems.

Workflow Automation

• Design, build, and maintain automated AI workflows using ComfyUI, Python, and proprietary workflow frameworks.
• Standardize AI-assisted asset generation, image enhancement, look development, and production processes across creative teams.
• Develop reusable automation pipelines that improve production speed, consistency, and scalability.
• Monitor workflow performance and continuously optimize processing efficiency.

Model Fine-Tuning & AI Development

• Manage the training, fine-tuning, and deployment of custom AI models including LoRAs, ControlNets, IP-Adapters, and related machine learning assets.
• Maintain model libraries, checkpoints, version control, and documentation to support project consistency and governance.
• Optimize AI models for specific client aesthetics, character consistency, product visualization, and brand standards.
• Evaluate emerging AI technologies and recommend production-ready implementations.

Technical Artist Tools

• Develop intuitive tools, interfaces, and scripts that enable artists to utilize AI capabilities without requiring advanced programming knowledge.