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.
Currently tracking 59 active AI roles, down 39% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $131k–$323k (avg $211k).
Enterprise · Design & engineering software
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 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 |
| 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 |
| 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 |
| 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 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 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 |
| 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 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 |