PrincipalDeveloper,AI/ML

**Job Requisition ID #** 26WD95300 **Position Overview** If you love building real systems that real customers use—and you get genuinely excited about LLMs, RAG, MCP, and agentic architectures—this role is for you. The **Applied AI** team in Autodesk’s Data and Process Management (DPM) organization ships **Cloud-Native AI agents** that make our Product Data Management (PDM) and Product Lifecycle Management (PLM) workflows smarter and easier. This is a hands-on engineering role where you’ll design core platform patterns and also write code that lands in production. We’re looking for a modern builder: **Ambitious, Curious, and Practical** —someone who has already **shipped Scalable, Cloud-Native AI Applications** to production and wants to level up further. You might have expertise in **GenAI Applications** , or you might have shipped **traditional Machine Learning applications** (recommendations, forecasting, anomaly detection) at scale and are ready to go all-in on agentic architectures. Either way, you build for reliability, quality, and impact. **AI-assisted engineering (how we deliver):** We use modern AI coding agents (e.g., Cursor Agent, Claude Code, Codex or similar) as accelerators for planning, implementation, debugging, and documentation—but you own correctness, security, and maintainability. **Responsibilities** • Lead the design and delivery of cloud-native Agentic AI applications that are resilient, performant, and can scale well in production • Fine-tune, evaluate, and deploy large language models in production environments. Balance performance, cost, and user experience while working with real-world data and constraints • Establish, Implement evaluation + observability standards (regression tests, monitoring, feedback loops) • Design frameworks and tools that make it easier for other teams to develop AI-powered experiences • Establish best practices for Agentic experimentation, evaluation, and optimization in high throughput environments • Partner with