Autodesk
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.
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 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 |
| Senior Applied Scientist, Personalization & Agentic Systems |
| AgentServe |
| 8 |
| Software Architect, AI/ML Software Architect role focused on designing and building scalable, cloud-native AI agents and agentic workflows for Product Data Management (PDM) and Product Lifecycle Management (PLM) systems. The role involves defining GenAI/ML architecture, implementing tool-use, orchestration, and multi-step workflows, and establishing evaluation and observability standards. Requires strong software engineering fundamentals and experience with LLM-based systems like RAG and MCP. | Agent | 8 |
| Manager, Applied AI/ML, Data Science & Engineering Manager for an applied AI/ML and data science team, focusing on building AI-enabled systems and platform capabilities. The role involves leading senior individual contributors, defining evolving processes in a fast-changing technical environment, and fostering adaptability and technical rigor in a globally distributed team. | Ship | 7 |
| 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 |
| Principal Applied AI/ML Engineer Principal Applied AI/ML Engineer to lead the design and delivery of high-impact AI systems for Construction AI group, focusing on product, platform, and services for Autodesk’s Forma Construction Cloud. This role requires a self-directed, credible technical leader capable of turning ambiguous opportunities into durable technical outcomes, operating hands-on across applied AI, software engineering, cloud infrastructure, data systems, and delivery execution. The role involves deep dives into architecture and implementation, defining direction, solving cross-functional problems, and raising team effectiveness. It requires a generalist mindset comfortable across AI systems, backend services, AWS infrastructure, database modeling, and project planning. | AgentServe | 7 |
| Intern, Machine Learning Developer Autodesk is seeking an AI/ML Intern to contribute to the development of their AI platform capabilities. The intern will build shared frameworks and tools for product teams to develop safe, observable, and scalable AI agents, focusing on context management, evaluation, observability, and responsible AI practices. The role involves research, prototyping, design, implementation, and collaboration with ML Engineers and Data Engineers. | AgentEval Gate | 7 |
| Principal Data Engineer, User Success (Agentic Experiences) Principal Data Engineer focused on building AI-ready data products for agentic experiences and insights. This role involves architecting and implementing data pipelines to support LLMs, RAG, and agentic workflows, ensuring data quality and observability for AI-driven systems, and partnering with AI/ML teams on feature engineering and operationalization. | AgentData | 7 |
| Principal Data Engineer, User Success Principal Data Engineer to drive the design of AI-ready data products powering analytics, machine learning, and emerging agentic experiences and insights. This role focuses on building scale batch and streaming pipelines for product telemetry to support LLMs and agentic workflows, operationalizing feature engineering and RAG-based systems, and ensuring data quality for AI-driven systems. | AgentData | 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 |
| Principal Machine Learning Engineer Principal Machine Learning Engineer at Autodesk, focusing on integrating AI into AEC products. The role involves exploring and analyzing complex AEC datasets (BIM, drawings, point clouds), building and curating datasets for GenAI, prototyping workflows, and collaborating with AI researchers and product teams. The primary focus is on data preparation and understanding for AI applications within the AEC domain, with secondary involvement in model development and evaluation. | DataPost-train | 7 |
| Principal Research Engineer, AEC Data, Generative AI This Principal Research Engineer role focuses on building foundation models and generative AI tools for the AEC industry. The primary responsibilities involve developing scalable data pipelines for diverse AEC and infrastructure data sources, working with large-scale multi-modal datasets (text, geometric, terrain, reality capture) to design preprocessing and content understanding methods, and transforming unstructured data into representations suitable for machine learning. The role also involves collaborating with ML scientists to align data formats for downstream LLM training and fine-tuning, and applying data quality techniques. While the core is data engineering for ML (L0), there's a clear connection to downstream training and fine-tuning (L2). | DataPost-train | 7 |
| Senior Engineering Manager, Real-Time & Streaming AI Systems Autodesk is seeking a Senior Engineering Manager to lead the development of a centralized Personalization platform that powers insights, recommendations, and proactivity across all their products. The role involves building scalable services at the intersection of distributed systems, data platforms, and agentic AI technologies, focusing on systems that analyze data streams, reason, synthesize, and power intelligent assistants and workflows embedded within Autodesk products. The manager will hire, retain, and lead a team of engineers, drive the platform's vision and roadmap, and ensure high-quality service delivery. | AgentServe | 7 |
| Software Developer, AI Platform Software Developer role focused on building the AI Platform experience stack, including agentic interfaces, workflow editor, project memory, and dynamic UI surfaces. The role involves defining AI-first architecture, delivering agentic orchestration, context retention, and composable capability invocation, and contributing to trust models. Requires experience building AI/ML-powered user experiences like LLMs, agents, orchestration, and RAG systems. | Agent | 7 |
| Senior Machine Learning Test Developer Senior Machine Learning QA Developer responsible for defining and upholding quality standards for ML systems, including data, models, and systems. The role involves designing evaluation suites, automating QA workflows, and building quality gates for training and deployment pipelines. Experience with CAD software and MLOps practices is beneficial. | Eval GatePost-train | 7 |
| Senior Software AI Developer Senior Software AI Developer role focused on designing and implementing AI features for Autodesk's access group platform, working with product managers, developers, and operations to build and maintain the platform and its roadmap. The role involves developing API's using Python or Node.js, integrating AI Agent tools & frameworks, and building agentic experiences and AI automation, with experience in AWS Bedrock and Strands. | Agent | 7 |
| Senior Machine Learning and AI Engineer Senior Machine Learning & AI Engineer to build foundation of intelligence-driven user management and access systems. This role will define and deliver ML capabilities from the ground up, leading development of intelligent systems for proactive automation, predictions, and recommendations. Responsibilities include end-to-end ML system development, data pipelines, model development for prediction/recommendation/anomaly detection, real-time/batch inference systems, and collaboration with platform/experience engineering teams. | AgentServe | 7 |
| Senior Software AI Developer Autodesk is seeking a Senior Software AI Developer to design and implement AI features for their platform, focusing on AI Agent tools and frameworks, and agentic experiences. The role involves working with product managers and developers to design, implement, and maintain the platform and its roadmap, with a strong emphasis on building scalable and reliable AI-driven features. | 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 |
| Senior Software Engineer, Localization Engineering Senior Software Engineer focused on architecting and scaling AI-driven localization systems, integrating NMT, LLMs, QE, and APE. The role involves designing and implementing advanced localization pipelines, fine-tuning transformer models, building scalable backend services, and optimizing model performance on AWS. This position requires strong backend engineering, localization workflow knowledge, and expertise in AI translation technologies. | Post-trainServe | 7 |