Technical Director - AI Roblox Studio

Roblox Studio is the creation engine behind millions of immersive 3D games built by creators around the world. We are entering a major platform transition, evolving Studio into an AI-Native IDE where intelligent systems plan, act, validate, and iterate alongside creators to amplify their output. We are seeking a Technical Director, Applied AI to own the technical direction of the agentic AI systems embedded deeply into Roblox Studio. This is a hands-on individual-contributor role operating at the intersection of platform engineering, AI systems, and developer experience, where you will set the technical direction, design the architecture, and write the code.

• Design and build the agentic AI systems at the core of the AI-Native IDE (planning, execution, validation, evaluation) so they are production-grade and reliable.
• Decide how Studio uses coding models, agents, retrieval, tool calling, and context management across the Assistant and the broader creator workflow.
• Own the quality bar and evaluation strategy, standing up quantitative and qualitative eval pipelines, including human-in-the-loop, so we ship with confidence.
• Optimize these systems for latency, throughput, and cost (caching, routing, distillation, quantization).
• Bring reusable patterns and best practices to teams across Studio, raising the applied-AI fluency of Studio engineering.

• 12+ years of engineering experience, including ownership of large-scale, long-lived platforms.
• Deep, hands-on experience building LLM-powered and agentic systems in production, beyond chat-based interfaces.
• Strong systems and software engineering skills, with the ability to design the architecture and write the code.
• A track record of defining evaluation frameworks for AI product quality, combining automated metrics with human review, and optimizing inference for latency, throughput, and cost.
• Strong background in developer tools or IDE-like platforms, with a proven ability to set technical direction and raise quality across multiple teams as an individual contributor.
• Preferred Qualifications: Background in coding models or code-generation systems, and/or research experience in reinforcement learning (RLHF, RLAIF, preference modeling) or related model-training techniques.

• An innovative technical leader who wants to build the AI systems that power the creativity of millions.
• Product-minded, with a real understanding of developer needs, creator workflows, and how AI systems land in the user experience.
• Adaptable and curious, with good judgment about when to build, when to reuse, and when to push a need back to a model team.
• Able to operate at the deepest technical levels and still communicate direction clearly to partners.