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 |
|---|---|---|
| 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 |
| Principal Research Engineer AEC Data - Generative AI, East Coast United States |
| 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 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| 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 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 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 |
| 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 |
| 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 |
| 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 |