Autodesk
ScalingEnterprise · Design & engineering software
Currently tracking 49 active AI roles, up 242% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $131k–$323k (avg $214k).
Hiring
49 / 49
Momentum (4w)
↑+302 +242%
427 opens last 4w · 125 prior 4w
Salary range · avg $214k
$131k–$323k
USD · disclosed roles only
Tracked since
Dec '25
last role today
Hiring velocityscroll left for older weeks
Jobs (3)
| 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 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 |