Autodesk
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).
Enterprise · Design & engineering software
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 35 new AI-related roles. That is a -33% change versus the prior 30 days (52 → 35).
| Title | Stage | AI score |
|---|---|---|
| Senior Machine Learning Engineer Senior Machine Learning Engineer to design, develop, and evolve machine learning systems for Autodesk's customer-facing platforms, focusing on conversational AI, search, multi-agent solutions, and intelligent automation. The role involves working across the full ML lifecycle, adapting and fine-tuning models, exploring representation learning and ranking, experimenting with agent architectures, and bringing new ML ideas into production. Responsibilities include implementing ML capabilities, training/adapting models (classical ML, deep learning, LLMs), performing statistical analysis, translating business objectives into ML problems, collaborating with cross-functional teams, deploying and monitoring ML systems, and providing technical leadership and mentorship. | AgentServe | 8 |
| Principal Research Engineer AEC Data - Generative AI, East Coast United States |
| DataPost-train |
| 8 |
| Senior Principal Engineer, AI/ML Platform Senior Principal Engineer to lead a team in designing, developing, and executing a next-generation machine learning platform (AMP) focused on agentic AI features for Autodesk products. The role involves technical leadership, strategy, and delivery of scalable AI/ML platforms, with a focus on complex agentic AI architectures and MLOps. | AgentServe | 8 |
| Machine Learning Engineering Manager Machine Learning Engineering Manager for Autodesk's AEC Solutions group, focusing on building foundation models and generative AI tools for the AEC industry. The role involves leading and mentoring a team, recruiting talent, fostering innovation, and ensuring privacy and security standards. The manager will also educate leaders on AI best practices and create processes for data gathering and processing. | Pretrain | 7 |
| Senior Search Data and Systems Engineer, Organic and Agentic Search Senior Search Systems Engineer to build the intelligence and automation layer on top of marketing and AI visibility data. This role focuses on transforming structured data into decision frameworks, automated insights, and applied AI workflows that improve brand performance in AI-driven discovery environments. The role serves as the bridge between SEO and AEO strategy, analytics, and technical data implementation, ensuring data supports SEO, AI visibility analysis, automation workflows, and decision-making systems at scale. | AgentEval Gate | 7 |
| Principal Data Scientist Principal Data Scientist to build frameworks for evaluating AI systems within an agentic product platform. The role involves designing predictive models, establishing telemetry and observability standards, developing frameworks for analyzing non-deterministic user experiences, and integrating intelligence into agent orchestration. Requires experience with LLMs, RAG, vector databases, and guiding experimentation strategies. | AgentEval Gate | 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 Development Manager, Platforms Development AI/ML San Francisco, CA Senior Development Manager to lead a team of software and ML engineers in building Autodesk's next-generation machine learning platform (AMP), focusing on powering Agentic AI features across products. The role requires technical leadership, strategy, execution, and delivery of scalable AI/ML platforms, with a blend of AI/ML expertise, leadership skills, and project delivery experience. | Agent | 7 |
| Software Architect, Sales & Success Software Architect to lead the architecture of next-generation Go-to-Market (GTM) systems, modernizing platforms and embedding AI-first and agent-driven architectures across Sales and Customer Success. This involves leveraging Agentic AI frameworks and integrating AI technologies to automate workflows, enhance decision-making, and enable intelligent business processes. | Agent | 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 |