Autodesk currently has 101 active job listings related to AI. The majority of these roles, 59%, are focused on agents, with application and serving infrastructure also representing significant portions. Engineering is the dominant function for these hires, with Canada and the United States being the top hiring countries. Frequent technical tags include agent orchestration, LLM observability, model serving, RAG, and tool use.
Currently tracking 59 active AI roles, down 55% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $131k–$323k (avg $211k).
Autodesk currently has 107 active AI-related roles in our index. The most common open titles are: Principal Software Engineer (3), Principal Data Scientist (2), Principal Software Development Engineer (2), Senior Software AI Developer (2), Software Architect (2). Most positions are in Engineering and Product.
Autodesk's active AI hiring is concentrated in: agents (54%), serving infrastructure (15%), application (12%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Autodesk is hiring AI talent in: Canada (48 roles), United States (25 roles), India (12 roles), United Kingdom (4 roles).
Job postings at Autodesk most frequently reference: agent orchestration, llm observability, model serving, rag, evals.
In the past 30 days, Autodesk has posted 34 new AI-related roles. That is a -56% change versus the prior 30 days (78 → 34).
| Title | Stage | AI score |
|---|---|---|
| Senior Machine Learning Test Engineer United Kingdom Senior Machine Learning QA Engineer responsible for defining and upholding quality standards for ML systems, including data, model, and system levels. Focuses on evaluation, automation, and MLOps, collaborating with researchers and engineers to ship ML capabilities with clear quality gates. Experience with CAD RL models and geometric validity is a plus. | Eval GatePost-train | 8 |
| Principal Software Engineer Autodesk is seeking a Principal Software Engineer to join their AI Platform engineering team. The role involves contributing to the architecture and delivery of the AI Platform experience stack, including agentic interfaces, workflow editors, project memory, and dynamic UI surfaces. Responsibilities include defining AI-first architecture, delivering agentic orchestration, context retention, and composable capability invocation, and contributing to trust models like human-in-the-loop and review gates. The role also emphasizes embedding AI-assisted engineering practices. The ideal candidate has extensive experience in software development, cloud-native platforms, distributed systems, and building AI/ML-powered user experiences such as LLMs, agents, orchestration, and RAG systems. |
| Agent |
| 7 |
| Senior Full-Stack Engineer (3D) Senior Full-Stack Engineer to build AI-native applications with agentic workflows. The role involves designing and implementing backend logic for AI agents to interact with external systems, building human-in-the-loop interfaces for user collaboration, and optimizing the entire stack for performance, especially LLM streaming latency. | AgentServe | 7 |