Position Overview
Autodesk is on a mission to transform its offerings by introducing AI Platform. We are seeking a forward‑thinking Principal Software Engineer to join our dynamic AI Platform engineering team. If you’re driven by passion and innovation, this is your chance to shape the evolution of AI products at Autodesk.
As a Principal Software Engineer, you will be instrumental in creating state‑of‑the‑art tools and services that revolutionize the customer experience through advanced AI technologies.
The ideal candidate is a proactive problem‑solver who thrives on tackling green‑field projects and brings a deep well of domain expertise. You’ll play a crucial role in steering our high‑performing team. Join us and drive the next wave of innovation at Autodesk.
Responsibilities
* Contribute to architecture and delivery of the AI Platform experience stack: agentic interfaces, workflow editor, project memory, and dynamic UI surfaces.
* Ensure a cohesive, modern, AI‑native experience built across cross‑product and cross‑industry workflows.
* Embed traceability, auditability, reversibility, and measurable autonomy into all agentic workflows.
AI‑First Development
* Be involved in defining AI‑first architecture and development practices across the experience layer.
* Deliver agentic orchestration, context retention across sessions, and composable capability invocation.
* Actively contribute to the trust models (human‑in‑the‑loop, review gates, confidence signaling).
* Champion AI‑assisted engineering practices to increase velocity, quality, and experimentation speed.
Minimum Qualifications
* 10+ years of professional experience in software development.
* BS or MS in Computer Science or a related technical field.
* Experience designing and developing web/cloud applications.
* Experience with Continuous Integration, Continuous Delivery, DevOps, etc.
* Proven experience delivering modern, cloud‑native platform capabilities at scale.
* Architectural expertise in distributed systems, APIs, composable services, and modern frontend architectures.
* Demonstrated experience building AI/ML‑powered user experiences (LLMs, agents, orchestration, RAG systems, or similar).
Preferred Qualifications
* Experience with User Interface / User Experience Design process.
* Experience with AI‑first or agentic platform initiatives.
* Experience building dynamic or generative UI systems.
* Familiarity with MCP‑style integration models or composable tool architectures.
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