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 |
|---|---|---|
| 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 Principal Machine Learning Engineer, ML Platform and Systems Architecture Senior Principal ML Engineer to define and drive the technical strategy for large-scale machine learning platforms and systems at Autodesk. This role involves shaping multi-year architecture, influencing engineering standards, and leading major platform initiatives across training infrastructure, data platforms, evaluation systems, model serving, and operational excellence for production ML. | 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 |
| Principal Knowledge Acquisition Analyst Autodesk is seeking a Principal Knowledge Engineer to design and operate AI-powered systems for capturing and transforming knowledge from enterprise engagements into structured, reusable guidance. This role involves building AI-assisted pipelines, optimizing AI agents, defining quality metrics, and ensuring data is ready for downstream content production and AI use cases like RAG. | DataAgent | 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 |
| 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 |
| 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 Software Engineer(AI/ML Platform) Senior Software Engineer focused on designing and implementing scalable AI/ML serving systems within a hybrid cloud architecture. Responsibilities include managing model deployment, versioning, performance monitoring, and optimization, while ensuring security and compliance. The role requires strong software engineering skills, familiarity with AI/ML frameworks, and experience with cloud technologies and DevOps practices. | Serve | 7 |
| Senior Application Security Developer , AI Security Senior Application Security Developer with a focus on AI Security at Autodesk. The role involves securing AI-enabled applications, particularly LLM-powered features, agent-based systems, and AI-assisted development workflows. Responsibilities include leading security assessments, defining secure patterns, embedding security controls, developing secure coding guidelines, evaluating runtime controls, integrating AI security testing into CI/CD, and providing developer education. Requires 5+ years of application security experience and familiarity with AI/LLM systems. | 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 |
| Principal Experience Designer, Agentic Workflows Principal Experience Designer focused on defining the core interaction model for Autodesk’s future agentic product experiences, emphasizing personalized workflow-oriented surfaces and human-AI collaboration patterns. The role involves designing how users initiate, iterate, and operationalize work with AI, translating complex system capabilities into intuitive product experiences. | Agent | 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 |
| Senior ML Engineer Senior ML Engineer at Autodesk's Growth and Experience Technology (GET) organization, focusing on building and deploying production-grade ML systems for personalization, recommendations, search, and generative AI across the customer journey. The role involves the full ML lifecycle, from problem framing to deployment, with a strong emphasis on scalable infrastructure and product partnership. | ServeAgent | 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 Full Stack Developer - Vancouver Autodesk is seeking a Principal Full Stack Developer to join their Connected Delivery platform team. The role involves building a resilient, scalable, and highly available full-stack application. Key responsibilities include leading design and development, providing team leadership, participating in agile ceremonies, and working with product managers. The role requires strong experience in modern web development, cloud services, microservices, AWS, and specifically building production-grade AI/ML applications using RAG, LangGraph, and MCP integrations. | 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 |
| Software Development Manager, Generative AI Software Development Manager for a full-stack engineering team at Autodesk, focused on integrating AI capabilities and agentic workflows into product experiences. The role involves defining data representations, delivering integration surfaces, and designing client/server components for automated assistants and flows. Responsibilities include technical leadership, people management, ensuring predictable delivery, and cross-functional collaboration with product and research teams. | Agent | 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 |
| 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 |
| Distinguished Applied AI Engineer, AI Transformation This role focuses on defining and accelerating the adoption of AI across Autodesk's go-to-market (GTM) ecosystem. It involves technical leadership, architecture, and influence to embed AI into marketing, sales, commerce, and customer success systems. The engineer will guide build-vs-buy decisions, operationalize responsible AI, and identify scalable AI patterns like RAG and recommendation systems to drive business outcomes. | 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 |
| Principal Software Engineer Principal Software Engineer role focused on developing and shipping AI/ML features within Autodesk's Fusion product. Responsibilities include building production-grade AI features, establishing telemetry and observability for AI services, managing high-availability cloud infrastructure for AI workloads, implementing security and compliance frameworks (SOC2, PRRAF), and integrating AI into complex products. Requires experience taking AI/ML models to production, building AI-powered workflows, and system-level thinking. | ShipServe | 7 |
| Director of Engineering, AI Platform Director of Engineering for AI Platform accountable for the modern, AI-first experience layer, including agentic interfaces, workflow orchestration, and dynamic UI surfaces. Focuses on platform-level experience leadership, AI-native architectures, and cross-product orchestration to deliver a cohesive, intelligent, and trustworthy end-to-end experience. | Agent | 7 |
| Senior Technical Product Manager (Search and AI) Senior Technical Product Manager to define and drive the next generation Knowledge & Information Retrieval Platform at Autodesk, powering AI-native, semantic, and agentic discovery experiences across Autodesk products and ecosystem. This role will lead and drive next gen AI enabled search experiences and underlying platform capabilities, building a roadmap that articulates technical investments and business outcomes. | Agent | 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 |
| Senior QA Engineer, AI/ML Senior QA Engineer for Autodesk's Applied AI team, focusing on cloud-native services powering AI agents and workflows. The role involves building and maintaining automated tests for these services, validating non-functional requirements, and developing scenario-based regression suites for AI-integrated features. A key responsibility is to operationalize AI evaluation pipelines, curate datasets, automate agent evaluations, and publish results. The role also includes security-aware testing for AI surfaces and leveraging AI coding tools for test development. Requires strong software engineering fundamentals, Python/TypeScript/Java skills, experience with cloud-native distributed systems, and experience testing AI-integrated systems like RAG and agentic workflows. | AgentEval Gate | 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 |