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 |
|---|---|---|
| Principal AI Research Scientist Post-Training Alignment Autodesk is seeking a Principal AI Research Scientist focused on post-training alignment for foundation models. The role involves developing novel algorithms for model reliability, controllability, and alignment using reinforcement learning, preference optimization, and agentic systems. Responsibilities include designing experiments, building scalable workflows, contributing to publications, and establishing model readiness criteria. The position emphasizes leveraging Autodesk's unique domain-grounded verifiers for RL and requires a strong publication record and experience in alignment research or agentic AI. | Post-trainAgent | 9 |
| Research Lead / Principal Scientist & Manager Post-Training · Alignment · Reinforcement Learning Autodesk AI Lab: Toronto · Remote (CA) Research Lead/Principal Scientist & Manager for Post-Training, Alignment, and Reinforcement Learning at Autodesk AI Lab. The role focuses on transforming foundation models into reliable, aligned, and useful systems for complex, domain-specific workflows in industries like architecture, engineering, and construction. Responsibilities include leading research strategy, developing novel algorithms, managing a team of AI scientists, designing evaluation frameworks, and contributing to publications. The position leverages unique assets like physics simulation engines for grounded reinforcement learning. |
| Post-trainAgent |
| 9 |
| AI Research Manager/Scientist, Reinforcement Learning Autodesk Research is seeking an AI Scientist Manager to lead post-training and model alignment efforts. This role involves managing and growing a team of AI scientists while also contributing as a hands-on researcher. Responsibilities include leading instruction tuning, preference optimization (RLHF, RLAIF, DPO, PPO), and domain-specific post-training. The role also involves designing and maintaining evaluation frameworks for reasoning, tool-use, safety, and robustness, and providing go/no-go recommendations for model releases. The position requires a PhD or equivalent experience, proven people management skills, and expertise in LLMs, fine-tuning, and experimental design. | Post-trainAgent | 9 |
| Research Intern, Physics-Informed Machine Learning Research intern at Autodesk Research focusing on combining machine learning with computational tools for analyzing air flow and heat transfer in building environments, specifically through physics-informed machine learning and CFD simulations. | Data | 8 |
| 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 Senior Applied Scientist role focused on designing, building, and productionizing agent-driven personalization platforms using LLMs and agentic systems for Autodesk products. The role involves developing ML models, agentic frameworks, inference services, and data pipelines, with a strong emphasis on operational excellence and delivering AI/ML systems into scalable production environments. | 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 |
| Sr Research Engineer, Computer Vision Senior Software Engineer focused on Computer Vision and Multimodal AI to build perception and understanding systems. Develops end-to-end pipelines combining vision models with multimodal reasoning and contextual signals, blending applied research with production-minded implementation for cloud-scale batch processing and interactive workflows. | AgentPost-train | 8 |
| Machine Learning Engineering Manager, Model Delivery Machine Learning Engineering Manager on the Model Delivery team within Autodesk Research, leading production ML engineering across deployment, monitoring, evaluation, reliability, and operational excellence for ML-powered features. This role involves leading and growing a team of ML engineers, improving models based on production issues and feedback, leading production release processes, building observability and on-call practices, developing evaluation frameworks, and leading reliability/performance/cost improvements for inference and serving. The role also partners with researchers, product, and platform teams to define quality bars and production readiness, including Trusted AI requirements, and establishes production standards for ML features. | ShipServe | 8 |
| Director of Software Development - AI/ML Director of Software Development - AI/ML at Autodesk, responsible for defining the AI technical strategy, leading AI engineering teams to develop agentic AI and machine learning projects for AutoCAD and Infrastructure products, and ensuring quality standards in AI/ML model development and deployment. | 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 |
| Senior Product Manager, AEC Agentic AI & Personalization Product Manager to lead the development of a platform enhancing AEC and Manufacturing software with AI/ML capabilities, focusing on personalization and insights. The role involves defining strategy, integrating LLMs and ML systems, driving customer discovery, and working with engineering to deliver platform components. | Agent | 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 |
| Senior Machine Learning Operations Developer, Inference, AI/ML Platform Autodesk is looking for a Senior MLOps Developer to join their AI/ML Platform team. The role focuses on operationalizing machine learning models, optimizing MLOps practices, designing automated deployment pipelines, and maintaining scalable infrastructure for model training and inference. The position requires strong experience in DevOps, MLOps, containerization (Docker, Kubernetes), CI/CD, and scripting (Python, Bash). | 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 |
| Associate Researcher, Design and Manufacturing Associate Researcher focused on applied research in design and manufacturing, bridging digital and physical worlds. This role involves designing and executing physical experiments, building data pipelines from sensor/equipment data, and developing/deploying ML models on edge devices in factory environments. It requires hands-on work with manufacturing equipment and applying CS/data science methodology. | ServeData | 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 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 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 |
| Software Developer, AI Platform Software Developer role focused on building the AI Platform experience stack, including agentic interfaces, workflow editors, and context retention. The role involves defining AI-first architecture, delivering agentic orchestration, and contributing to trust models, with a strong emphasis on shipping AI-native, workflow-first, composable capabilities. | Agent | 7 |
| Intern, AI Developer, Stagiaire développeur IA Autodesk is seeking two creative technologist interns interested in visual and deep learning to join their team in Montreal. The role involves prototyping and developing AI-forward techniques and research for 3D graphics, video, games, and visual effects, leveraging computer vision and graphics algorithms. Interns will also participate in developing predictive models and extending ML libraries, staying updated on AI research and production advancements. | Post-train | 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 |
| Senior Development Manager, Platforms Development AI/ML Toronto, Ontario Senior Development Manager to lead a team of software and ML engineers in building Autodesk's next-generation machine learning platform (AMP). This platform will power Agentic AI features across Autodesk products. The role requires technical leadership, driving technical strategy, execution, and delivery of scalable AI/ML platforms, and ensuring adoption. Responsibilities include leading and mentoring teams, collaborating with cross-functional teams, guiding system design and architecture, managing execution and budgets, participating in code reviews, fostering a high-performance culture, and hiring top talent. Requires experience in software development, managing ML teams, building scalable production applications on cloud platforms, experience with agentic AI architectures, MLOps, CI/CD, deep learning, and agile methodologies. | AgentServe | 7 |
| AI Developer Autodesk's AI Lab is seeking a junior AI Developer to prototype, experiment, and develop AI capabilities for their Media & Entertainment product portfolio. The role involves building new AI features, integrating existing AI capabilities, fine-tuning and evaluating LLMs, contributing to AI system evaluation and monitoring, and supporting the integration of AI agents with internal/external services. The role emphasizes cloud-based software and services, with an intent to turn experiments into commercial products. The developer will use AI coding tools but must own the quality, security, and correctness of their work. | AgentPost-train | 7 |
| Principal Conversational Designer, Agentic AI (US / Canada, Remote) Principal Conversational Designer to define and deliver conversational design for Autodesk's agentic AI experiences within the AEC organization. This role will shape how customers interact with AI-powered products and workflows through natural, intuitive, and trustworthy conversational experiences, partnering closely with product, UX, engineering, research, and AI teams. | 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 |
| Machine Learning Engineering Manager Machine Learning Engineering Manager for Autodesk's AEC Solutions group, responsible for leading a team to build foundation models and generative AI tools for the AEC industry. The role involves recruiting, mentoring, fostering innovation, and ensuring privacy/security standards. Requires MS in a related field, 5+ years in ML engineering, and 3+ years in management. Experience with deep learning frameworks, 3D geometry, and AEC industry is preferred. | Post-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 |
| Director, Experience Design, PDMS, Canada Director of Experience Design leading the strategy and growth of AI-first, agentic, and integrated experiences for Autodesk's manufacturing platform. This role focuses on evolving cloud and SaaS solutions to enhance customer productivity and usability by partnering with Product Engineering, Development, and AI/ML teams to shape the future of manufacturing tools. | Agent | 7 |
| Principal Technical Program Manager, Foundations - Generative AI Principal Technical Program Manager to own execution and delivery for a Generative AI program in the AEC industry, coordinating cross-functional teams to bring models and ML/data pipelines into production customer experiences. This role involves translating strategy into executable workstreams, managing dependencies, risks, and ensuring scalable, secure, reliable AI/ML solutions meet product launch and operational requirements. It also includes defining launch gates, go/no-go criteria, and operational readiness in partnership with various stakeholders. | Ship | 7 |
| Principal Cloud Platform Developer Principal Cloud Platform Developer focused on building AI/ML and agentic AI solutions to automate and improve developer onboarding, troubleshooting, and self-service experiences within Autodesk's developer enablement platforms. | Agent | 7 |
| Principal Content Designer, AI Experiences This Principal Content Designer role focuses on defining and designing the language, interaction, and intelligence of AI experiences within Autodesk's product design and manufacturing tools. The role involves hands-on content design for AI initiatives and agent experiences, creating scalable language and explanation frameworks to ensure clear, trustworthy AI communication. It requires close collaboration with AI, design, product, and engineering teams to translate AI platform guidance into practical in-product patterns and mentor other designers. | 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 |
| Product Manager, Generative AI, APIs Product Manager for Generative AI APIs at Autodesk, focusing on developer enablement and translating AI research into scalable, production-ready solutions. The role involves defining product vision, roadmaps, and driving adoption for both internal and external developer tools and APIs, while ensuring alignment with responsible AI principles. | Ship | 7 |
| Principal AI Developer Autodesk is seeking a Principal Software Developer to design and implement AI features for their platform, focusing on AI agents and automation. The role involves working with product managers and developers to build and maintain the platform and its roadmap, applying deep technical expertise to resolve complex programming and design problems, and ensuring scalability, security, and availability. | Agent | 7 |
| Principal Machine Learning Engineer, Evaluation Principal Machine Learning Engineer focused on evaluating ML models for CAD and BIM products. The role involves designing evaluation datasets, metrics, and protocols, building repeatable evaluation tooling, analyzing data to assess model behavior and customer outcomes, validating ML-powered product experiences, and communicating findings to stakeholders. The goal is to ensure ML-powered experiences meet high standards for quality, reliability, and customer impact. | Eval Gate | 7 |
| Senior Data Scientist Senior Data Scientist to join Autodesk’s Platform Strategy and Emerging Technologies (PSET) organization to develop next-generation applied AI solutions. The role involves developing and deploying end-to-end AI/ML pipelines, applying Generative AI for scalable solutions like AI assistants, and building classic ML applications for personalization and recommendations. Requires expertise in large-scale ML model development, deep learning, RL, or NLP, with hands-on experience in AI/LLM development and fine-tuning. | AgentServe | 7 |
| Senior Software Developer, AI/ML Autodesk's Applied AI team is seeking a Senior Software Developer to build and ship production-grade cloud-native Agentic AI applications. This hands-on architecture role involves designing core platform patterns, writing production code, and integrating agents with internal/external services. The role requires experience in delivering AI/ML systems in production, proficiency in Python/TypeScript/Java, and experience with AI coding tools. | 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 |
| PhD Intern, HCI & Visualization Research Autodesk is seeking a PhD intern to join their HCI and Visualization research group. The intern will work on a research project in human-computer interaction or data visualization, focusing on areas like user interfaces for generative AI, information visualization, and generative design tools. Responsibilities include developing software prototypes, conducting literature reviews, building prototypes, running experiments, analyzing data, and authoring research papers. A PhD program enrollment in Computer Science with a specialization in HCI and peer-reviewed publications are required. | Post-train | 7 |