Principal Developer, 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 product managers, architects, developers, and data scientists to bring AI features to life in Autodesk products • AI-assisted delivery: Use AI coding agents to accelerate delivery of production features and fixes, with rigorous verification (tests, CI, code review) and security-aware usage Minimum Qualifications • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or equivalent practical experience • 7 years building cloud-native software in production (distributed systems, APIs, data-intensive services, reliability and operations) • 3 years of hands-on experience of delivering AI/ML-powered system in production . This can include: • Traditional ML cloud applications (training pipelines, deployment, monitoring, iteration), and/or • LLM-based systems (RAG, MCP, Agent workflows, fine-tuned models) • Experience with MCP or similar standardized patterns for connecting models to tools and context • Experience with deploying and maintaining AI Applications in production reliably, monitoring performance, and improving over time • Proficiency in Python/TypeScript/Java with strong engineering fundamentals (testing, code quality, performance, security) • Strong communication skills: you can explain tradeoffs clearly and influence decisions • Demonstrated experience using AI coding tools to ship production systems , and the engineering judgment to verify and correct AI output (code review rigor, debugging skill, ownership of correctness) Preferred Qualifications • Experience building AI applications in the CAD or manufacturing domain • Proven track record of building and deploying scalable cloud-native AI applications using platforms like AWS, Azure, or Google Cloud • Experience with deep learning architectures (e.g., Transformers) and modern ML frameworks such as *PyTorch *, Lightning, and Ray • Hands-on experience with AWS and SageMaker for scalable training and deployment • Contributions to open-source AI projects or publications in the field • Exper ... (truncated, view full listing at source)