Autodesk
Enterprise · Design & engineering software
Enterprise · Design & engineering software
Currently tracking 59 active AI roles, down 39% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $131k–$323k (avg $211k).
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 103 active AI-related roles in our index. The most common open titles are: Principal Software Engineer (3), Principal Data Scientist (2), Senior Software AI Developer (2), Software Architect (2), AI & Automation Specialist. Most positions are in Engineering and Research.
Autodesk's active AI hiring is concentrated in: agents (56%), application (15%), serving infrastructure (10%). 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 (44 roles), United States (21 roles), India (11 roles), United Kingdom (4 roles).
Job postings at Autodesk most frequently reference: agent orchestration, model serving, llm observability, rag, evals.
In the past 30 days, Autodesk has posted 40 new AI-related roles. That is a -25% change versus the prior 30 days (53 → 40).
| 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 |
| 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 |
| MLOps Lead Autodesk is seeking an MLOps Lead to join their Media & Entertainment team, focusing on supporting AI solutions for their VFX platform. The role involves owning ML infrastructure, improving developer experience, and ensuring the reliable delivery of ML models and features into production by building and maintaining systems, tools, and processes for ML development, testing, deployment, and monitoring. | 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 |
| Machine Learning Engineer 3D Geometry/ Multi-Modal Machine Learning Engineer at Autodesk Research to build and enable ML-powered capabilities in Autodesk products, focusing on generative AI features. The role involves working with researchers and engineers in a fast-moving, research-driven environment, building ML pipelines, prototypes, and evaluation workflows, and working with complex 2D/3D geometry datasets. | ServePost-train | 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 |
| Senior DevSecOps Engineer (AI/ML Systems) Senior DevSecOps Engineer focused on building, securing, and scaling AI/ML platforms and services. The role involves integrating security throughout the ML lifecycle, designing secure cloud-native architectures, automating security controls, and enabling secure AI innovation. Responsibilities include securing AI/ML platforms, model training pipelines, inference services, and AI applications, with a focus on Generative AI, LLMs, RAG, and agent-based systems. The role also emphasizes DevSecOps practices, cloud security, application security, vulnerability management, and monitoring solutions. | ServeAgent | 5 |
| Senior Machine Learning Operations Developer: AI/ML Platform Autodesk is seeking a Senior Machine Learning Operations Developer to join their AI/ML Platform team. This role focuses on operationalizing machine learning models and ensuring the efficiency of their AI/ML platform, which supports the development of machine learning and generative AI solutions. Responsibilities include driving operational excellence, automating deployment pipelines, building scalable infrastructure for training and inference, implementing monitoring and logging systems, and contributing to model governance and compliance. | Serve | 5 |
| Principal Software Development Engineer Principal Backend / Data Engineer for Autodesk Info360 Operational Analytics team. Focus on designing, building, and scaling cloud-native backend services and APIs on AWS for high-frequency, large-scale time-series data. Key responsibilities include optimizing data pipelines, ETL/ELT processes, and building backend infrastructure to support AI/ML-powered features, model serving, feature pipelines, and predictive alerting. Role requires strong AWS, data pipeline, streaming, time-series data, and systems design experience, with familiarity in AI/ML infrastructure and observability. | Serve | 5 |
| Senior Fullstack Software Engineer Senior Fullstack Software Engineer to support research and foundation model development. The role involves building systems for rapid experimentation, prototyping, model deployment, evaluation, and integration into production workflows, working closely with research scientists, ML engineers, and infrastructure teams. The engineer will also work with 3D data and contribute to CI/CD and data pipelines. | Serve | 5 |