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.
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).
Currently tracking 59 active AI roles, down 55% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $131k–$323k (avg $211k).
| Title | Stage | AI score |
|---|---|---|
| Senior Development Manager, AI/ML Platform Toronto, CA Autodesk is looking for a Development Manager to lead a team of software and ML developers in designing, developing, and executing their next-generation machine learning platform (AMP). The role involves technical leadership, driving the platform's technical strategy, execution, and delivery, and ensuring its adoption. The team will focus on developing agentic AI features for Autodesk products. Responsibilities include mentoring developers, collaborating with cross-functional teams, guiding the architecture of scalable AI/ML systems, managing project execution, and participating in code reviews. The role requires experience with cloud platforms, AI model deployment (SageMaker, Bedrock), agentic AI architectures, MLOps, CI/CD, and deep learning. | ServeAgent | 8 |
| Senior Machine Learning Operations Developer, Inference, AI/ML Platform |
| Serve |
| 7 |
| Machine Learning Ops Developer Autodesk is looking for an MLOps Engineer to join their AI/ML Platform team. The role focuses on operationalizing machine learning models and ensuring the efficiency of their AI/ML platform, which powers generative AI solutions for Autodesk's products. Responsibilities include driving operational excellence, automating deployment pipelines, building scalable infrastructure for training and inference, implementing monitoring and logging, managing model version control and governance, and ensuring security and compliance. The role requires 3+ years of MLOps experience, proficiency in IaC, containerization (Docker, Kubernetes), CI/CD, Python scripting, and monitoring tools. | Serve | 7 |
| Principal ML Engineer, Machine Learning Platform and Systems Architecture Autodesk is seeking a Principal ML Engineer to lead the design and evolution of large-scale machine learning platforms, focusing on ML infrastructure, data systems, model lifecycle tooling, and production architecture. This role involves owning high-impact technical initiatives, defining technical direction for ML systems, and driving execution across cross-functional teams. The ideal candidate has strong system architecture, distributed computing, and end-to-end platform thinking skills. | ServeData | 7 |
| Senior Machine Engineer, ML Systems and Infrastructure Autodesk is seeking a Senior ML Engineer to design and scale ML systems and infrastructure, focusing on data pipelines, distributed training, evaluation frameworks, and production ML workflows for foundation models and ML-powered features. The role emphasizes scalable systems and production-grade ML infrastructure, operating independently across the stack. | ServeEval Gate | 7 |
| Machine Learning Engineer, ML Systems and Infrastructure Machine Learning Engineer focused on building and operating ML systems at scale, including pipelines for data preparation, model training, evaluation, deployment, and monitoring. The role involves developing reliable software and infrastructure for scalable machine learning workflows, contributing to distributed data processing and training systems, and supporting data ingestion and transformation for large-scale datasets. | ServeData | 7 |
| Senior Machine Learning Engineer, MLOps West Coast Senior Machine Learning Engineer focused on MLOps for CAD and BIM, responsible for building and operating infrastructure to deploy, monitor, and integrate AI models into production across Autodesk products. This role ensures reliability, scalability, and operational excellence for AI-powered experiences, partnering with researchers and product teams. | Serve | 7 |