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.
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 Principal Data Scientist, AEC Senior Principal Data Scientist to build a founding data science role for an agentic product platform. This role involves designing and implementing predictive models for user behavior in multi-agent workflows, defining data instrumentation and observability standards for AI systems, developing frameworks for optimizing AI-driven user experiences, and collaborating with product and engineering teams to integrate intelligence into agent orchestration. The role also includes creating analytical models for business intelligence and forecasting, guiding experimentation strategies, and providing technical leadership on data architecture and model selection. | Agent | 8 |
| Senior Machine Learning Test Engineer United Kingdom Senior Machine Learning QA Engineer responsible for defining and upholding quality standards for ML systems, including data, model, and system levels. Focuses on evaluation, automation, and MLOps, collaborating with researchers and engineers to ship ML capabilities with clear quality gates. Experience with CAD RL models and geometric validity is a plus. |
| Eval GatePost-train |
| 8 |
| Senior Machine Learning Engineer Senior Machine Learning Engineer to design, develop, and evolve machine learning systems for Autodesk's customer-facing platforms, focusing on conversational AI, search, multi-agent solutions, and intelligent automation. The role involves working across the full ML lifecycle, adapting and fine-tuning models, exploring representation learning and ranking, experimenting with agent architectures, and bringing new ML ideas into production. Responsibilities include implementing ML capabilities, training/adapting models (classical ML, deep learning, LLMs), performing statistical analysis, translating business objectives into ML problems, collaborating with cross-functional teams, deploying and monitoring ML systems, and providing technical leadership and mentorship. | AgentServe | 8 |
| 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 |
| Principal Research Engineer AEC Data - Generative AI, East Coast United States Autodesk is seeking a Principal Research Engineer to build foundation models and generative AI tools for the AEC industry. This role involves developing scalable data pipelines for diverse AEC data sources (BIM, CAD, geometric data), transforming unstructured data, and collaborating on LLM training and fine-tuning. The position requires strong technical leadership, experience with geometric data, and proficiency in Python. | DataPost-train | 8 |
| Sr Principal Applied AI Engineer Autodesk is seeking a Senior Principal AI/ML Engineer to lead the definition and delivery of next-generation AI applications across Autodesk Construction Cloud. This role focuses on multimodal AI and agentic systems, integrating natural language understanding, computer vision, and reasoning over construction project data to create real product experiences. The position requires a proven track record of shipping AI/ML systems, partnering with product teams, mentoring engineers, and shaping technical direction within the construction space. | AgentServe | 8 |
| Principal Developer, AI/ML Autodesk is seeking a Principal Developer for their Applied AI team to design and deliver cloud-native AI agents for PDM/PLM workflows. This hands-on engineering role involves building scalable AI applications, fine-tuning LLMs, establishing evaluation standards, and developing frameworks for other teams. The ideal candidate has significant experience in shipping production AI/ML systems, including traditional ML or LLM-based systems, and proficiency in Python/TypeScript/Java. | AgentPost-train | 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 |
| Senior Software AI Engineer Autodesk is seeking a Senior AI Software Engineer to design, orchestrate, and operationalize agent-based systems that improve developer workflows across the software development lifecycle. The role involves hands-on design and building of AI-powered systems for workflow automation, evaluation, integration of AI frameworks, and improving developer productivity through AI-assisted coding and debugging. | Agent | 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 |
| Senior Principal Engineer, AI/ML Platform Senior Principal Engineer to lead a team in designing, developing, and executing a next-generation machine learning platform (AMP) focused on agentic AI features for Autodesk products. The role involves technical leadership, strategy, and delivery of scalable AI/ML platforms, with a focus on complex agentic AI architectures and MLOps. | AgentServe | 8 |
| 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 |
| Machine Learning Engineer Machine Learning Engineer with a focus on Generative AI, Computer Vision, and Computer Graphics for the film industry at Autodesk Flow Studio. The role involves designing and implementing ML and GenAI models for visual effects, neural rendering, motion capture, and 3D content generation. | ShipPost-train | 8 |
| Software Architect Autodesk is seeking a Software Architect for Agentic AI Initiatives to define, architect, and deliver advanced AI systems capable of autonomous reasoning, decision-making, and self-directed execution. This role involves architecting, designing, and guiding the development of AI systems, including autonomous agents, multi-agent frameworks, and LLM-powered agents, and ensuring their integration into existing platforms. The role also includes evaluating emerging AI models, prototyping, benchmarking, and guiding production deployment with a focus on reliability, ethics, safety, and governance. | Agent | 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 |
| Machine Learning Technical Manager This role is for a Machine Learning Technical Manager at Autodesk, focusing on leading a team to develop and deploy next-generation AI solutions for their VFX platform (Autodesk Flow Studio). The role requires expertise in Computer Vision, Computer Graphics, or Generative AI, with responsibilities including managing a team, defining ML strategy, collaborating with product and engineering, and providing technical oversight for model development and deployment. The ideal candidate has a track record of delivering ML models into production, preferably in media/entertainment, and strong programming skills in Python with ML frameworks. | Ship | 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 Machine Learning Software Engineer Senior Machine Learning Software Engineer for Autodesk's Fusion team, focusing on bridging research and production for AI applications in product design and manufacturing. The role involves developing software prototypes, automating processes, participating in design discussions, writing interface programs, developing data pipelines, containerizing applications, and advocating best practices across research and development. | Post-trainServe | 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 Search Data and Systems Engineer, Organic and Agentic Search Senior Search Systems Engineer to build the intelligence and automation layer on top of marketing and AI visibility data. This role focuses on transforming structured data into decision frameworks, automated insights, and applied AI workflows that improve brand performance in AI-driven discovery environments. The role serves as the bridge between SEO and AEO strategy, analytics, and technical data implementation, ensuring data supports SEO, AI visibility analysis, automation workflows, and decision-making systems at scale. | AgentEval Gate | 7 |
| 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 |
| Senior Software Developer, AI/ML Senior Software Developer focused on building and shipping production-grade cloud-native Agentic AI applications for Product Data Management (PDM) and Product Lifecycle Management (PLM) workflows. The role involves designing core platform patterns, writing production code, fine-tuning and deploying LLMs, implementing evaluation and observability standards, and integrating agents with internal/external services using MCP-based integrations. Requires strong software engineering fundamentals and hands-on experience delivering AI/ML systems in production, particularly LLM-based systems like RAG and agentic architectures. | Agent | 7 |
| Principal Software Engineer Autodesk is seeking a Principal Software Engineer to join their AI Platform engineering team. The role involves contributing to the architecture and delivery of the AI Platform experience stack, including agentic interfaces, workflow editors, project memory, and dynamic UI surfaces. Responsibilities include defining AI-first architecture, delivering agentic orchestration, context retention, and composable capability invocation, and contributing to trust models like human-in-the-loop and review gates. The role also emphasizes embedding AI-assisted engineering practices. The ideal candidate has extensive experience in software development, cloud-native platforms, distributed systems, and building AI/ML-powered user experiences such as LLMs, agents, orchestration, and RAG systems. | Agent | 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 |
| MLOps Lead Autodesk is seeking an MLOps Lead to join their Media & Entertainment team, focusing on supporting AI solutions for their VFX platform. The role involves owning ML infrastructure, improving developer experience, and ensuring the reliable delivery of ML models and features into production by building and maintaining systems, tools, and processes for ML development, testing, deployment, and monitoring. | Serve | 7 |
| Principal Data Scientist Principal Data Scientist to build frameworks for evaluating AI systems within an agentic product platform. The role involves designing predictive models, establishing telemetry and observability standards, developing frameworks for analyzing non-deterministic user experiences, and integrating intelligence into agent orchestration. Requires experience with LLMs, RAG, vector databases, and guiding experimentation strategies. | AgentEval Gate | 7 |
| Senior Technical Program Manager - AI & Agentic Personalization Senior Technical Program Manager to lead end-to-end delivery of programs focused on AI-driven personalization, recommendations, and agentic workflows within Autodesk's AEC products. The role involves partnering with Product Management, AI/ML, and data teams to bring intelligent capabilities into production, ensuring responsible and scalable delivery, and managing program risks related to AI performance and user experience. | Agent | 7 |
| Software Development Manager, Developer Productivity & AI Systems (US) Engineering Manager to lead the creation of internal AI-powered systems aimed at simplifying the Software Development Lifecycle (SDLC) for engineers, focusing on reducing cognitive, operational, and repetitive burdens. | Agent | 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 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 |
| 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 |