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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Software Development Manager, Preconstruction Autodesk is seeking an Engineering Manager to lead a team responsible for critical preconstruction workflows that connect contractors with millions of project opportunities every month. This leader will combine strong technical judgment, people leadership, and operational excellence to help build intelligent, AI-powered experiences that improve how construction professionals find work, make decisions, and deliver projects. The role involves leading, coaching, and developing a team of software engineers, partnering with Product Management, Design, Data Science, and Platform teams, and driving engineering excellence. The team will promote the thoughtful adoption of AI technologies and AI-assisted development practices. | Ship | 5 |
| Business Intelligence Analyst This role supports operational analysis and reporting for Autodesk Operation Solutions go-to-market functions. The Data & Business Analyst will be responsible for understanding performance, building reports, monitoring key metrics, and turning data into actionable insights. The role involves writing SQL, building dashboards, creating data models, and documenting metrics. It requires strong analytical problem-solving skills, SQL proficiency, experience with BI tools, and the ability to work closely with business stakeholders. The role also emphasizes using AI tools to enhance analytics workflows, such as summarizing trends and automating reporting tasks. | — | 5 |
| Senior Software Engineer, AI Search Senior Software Engineer to own and deliver complex modules within Search Infrastructure for Autodesk's Industry Clouds. The role involves building a scalable Search Platform, working with system architects, and solving distributed systems and algorithmic problems. Experience with AWS, including Bedrock, SageMaker, and OpenSearch, is required, along with exposure to Vector Databases and ML Infrastructure. The role also emphasizes the use of AI-assisted development tools. | Agent | 5 |
| Principal Software Development Engineer, Cloud Services & Applied AI This Principal Software Development Engineer role at Autodesk focuses on building fundamental data extraction pipelines and defining data models within the Manufacturing Cloud. A key aspect of the role involves leading the application of AI in product delivery, specifically using AI coding agents to accelerate feature development and fixes, with a strong emphasis on rigorous verification and security. The engineer will also drive AI best practices within the team and promote their adoption by others, ensuring productive and safe AI-first workflows. | Ship | 5 |
| Senior Data Developer, Analytics & Insights Autodesk is seeking a Senior Data Developer to join their Platform Strategy & Emerging Technologies (PSET) organization. The role focuses on developing and enhancing scalable data pipelines using big data technologies, with an emphasis on an AI-native data engineering mindset. Responsibilities include designing, developing, and maintaining ELT/ETL pipelines, ensuring data quality and governance, and collaborating with various stakeholders. The position requires strong Python and SQL skills, experience with cloud platforms (AWS), and data processing frameworks like Spark. Experience with AI-native data engineering technologies, structuring data for AI reasoning, and optimizing agentic workflows is preferred. | Data | 5 |
| Senior Software Developer, Observability (Remote) Software Engineer to design and build observability solutions (APM, synthetic monitoring, telemetry pipelines) for reliable, scalable cloud services. Will work with Dynatrace, Catchpoint, OpenTelemetry, and cloud-native infrastructure. Leverages AI-assisted development tools. | — | 5 |
| Operations Manager - Product Teams (remote) Operations Manager for Product Teams focused on reducing friction for Product Managers by building dashboards, automations, and operational tooling. The role emphasizes using AI to automate "work about work" and redesign workflows with AI as part of the operating model. Success depends on influencing teams without formal authority and building trust through practical solutions that improve how product teams operate. | — | 5 |
| Senior Director, Data Architecture and Engineering Senior Director of Data Architecture and Engineering at Autodesk, responsible for the architectural vision and engineering execution of advanced knowledge retrieval systems and the overall Product Data platform. The role involves leading teams to solve petabyte-scale problems, build next-generation knowledge retrieval systems with semantic search and GraphRAG, and scale data services. The candidate will also lead the adoption of AI-driven engineering practices. | Agent | 5 |
| Principal User Experience Designer, AEC, Agentic Acceleration Principal UX Designer for Autodesk Construction's AI team, focusing on shaping AI-powered product experiences within customer workflows. This role involves translating emerging AI capabilities and customer needs into clear, scalable product designs, influencing product direction, and collaborating with cross-functional teams. The position requires strong design craft, systems thinking, and the ability to navigate ambiguity in a fast-evolving AI product space. | — | 5 |
| Sr. User Experience Designer, AEC This role focuses on designing AI-powered Assistant experiences for Autodesk's construction platform. The designer will translate AI capabilities and customer needs into user-friendly interfaces, working across web and mobile. The role emphasizes translating complex AI systems into clear, trustworthy, and usable product experiences, with a focus on the Construction Assistant. | Agent | 5 |
| Senior Product Manager — Machine Simulation, Post Processing & Manufacturing Libraries This role is for a Senior Product Manager at Autodesk, focusing on the Fusion Machine Digital Twin solution. The core responsibilities include owning the product strategy and roadmap for CAM machine simulation, post processing, manufacturing content libraries, and the vendor ecosystem. The role involves driving CAM simulation and verification, shaping post processing with AI-assisted setup, leading manufacturing libraries, and partnering with vendors. While the role is primarily product-focused within the industrial domain, it emphasizes a future growth into an AI-first Product Manager, utilizing AI assistants and the Autodesk Assistant for Manufacturing. | Ship | 5 |
| Senior Software Developer (PreCon) Senior Software Engineer role at Autodesk focused on building Preconstruction Bidding and Risk Management applications. The role involves designing and developing scalable web applications and services, with a significant emphasis on developing AI-powered features to enhance decision-making, forecasting, and risk analysis. The engineer will also leverage AI tools and techniques to accelerate development and improve code quality. The position requires 5+ years of software development experience and proficiency in modern web technologies, with preferred experience in Node.js, React, MongoDB, PostgreSQL, AWS, and AI/ML technologies. | Ship | 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 Data Scientist Principal Data Scientist at Autodesk to partner with Visualization Solutions teams, focusing on product analytics and applied AI. The role involves driving product planning through insights, designing data models, building data pipelines, and developing analytics and experimentation frameworks. It requires strong SQL, Python/R, and big data/cloud environment experience, with a preference for experience in data mining, large-scale analytics, or ML in production, especially applied to 3D data or graphics systems. | Data | 5 |
| Marketing Operations Manager This role is for a Marketing Operations Manager responsible for building, scaling, and operationalizing marketing programs for a growing business area. The role involves establishing systems, processes, and insights to enable testing, learning, and scaling, with a focus on translating marketing strategy into scalable operating models, establishing measurement and attribution frameworks, and driving pipeline contribution. The role will also help create an AI-enabled marketing engine. | — | 5 |
| Senior Experience Designer (Montreal) This role is for a Senior Experience Designer at Autodesk, focusing on creating intuitive and powerful visualization experiences for complex design and manufacturing projects across web, mobile, and VR platforms. The designer will shape visualization capabilities and workflows, collaborate with multidisciplinary teams, and leverage design systems. A key aspect of the role involves using AI tools in the design process and exploring emerging technologies like AI-powered interfaces. | — | 5 |
| Quantitative Research Lead, Construction & Platform This role focuses on quantitative research and measurement to understand and improve user and product experience within Autodesk's AEC Construction division. While not directly building AI models, the role involves leveraging AI and automation for research tasks and measuring the experience of AI-enabled products. | — | 5 |
| Senior Manager, AI, User Success This role leads the user research strategy for AI-powered product experiences within Autodesk AEC Construction. The focus is on understanding user needs to inform AI product development, coordinating research efforts across teams, and ensuring AI capabilities translate into valuable and usable experiences for users. The role involves managing a team of AI-focused user researchers and measuring the real-world impact of AI features. | — | 5 |
| Talent Technology Program Manager The Autodesk Talent organization is seeking a Technology Program Manager to drive the strategy, prioritization, and optimization of talent technology solutions that support hiring, development, and mobility outcomes—including a focus on accelerating AI-enabled capabilities. This role will partner closely with Enterprise Systems and People Insights & Solution Design teams to ensure systems, agents, and data are effectively leveraged to drive end-to-end Talent workflows, best-in-class candidate and employee experience, AI enablement, and business impact. The role requires experience applying AI/ML-enabled features or tools within enterprise platforms or workflows and a strong understanding of how data, workflows, and systems enable AI use cases. | — | 5 |
| Principal Experience User Researcher, Canada Autodesk is seeking a Principal Experience User Researcher to develop research strategies for AI-enabled developer workflows. This role involves understanding developer needs, how they adopt platform capabilities, integrate AI tools, and identifying future growth areas across the entire developer journey. The researcher will influence product roadmaps, minimize development risk, and analyze mixed-methods data to drive decisions. | Agent | 5 |
| Software Engineering Manager, Agentic Acceleration /AI Search Software Engineering Manager for Agentic Acceleration / AI Search, focusing on building modern and scalable Search Platforms that power search experiences across Autodesk's Industry Clouds. The role involves leading teams developing scalable cloud services, nurturing talent, and driving engineering excellence. | Agent | 5 |
| Senior Data Software Engineer, Personalization Senior Data Software Engineer focused on building the data foundations for Autodesk's AI-powered personalization platform. This role involves designing and owning scalable data pipelines, backend services, and APIs to support personalization, ML, and agentic workflows. The engineer will work with complex data, ensure data quality and observability, and partner with data scientists and product managers. | DataAgent | 5 |