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 (7)
| 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 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 |