Software Developer, AI Platform

Autodesk•Toronto, ON

About The Position

Autodesk is on a mission to transform its offerings by introducing AI Platform. We are seeking a forward-thinking Software Developer to join our dynamic AI Platform engineering team. If you’re driven by passion and innovation, this is your chance to shape the evolution AI products at Autodesk. As a Principal Software Developer, 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. This role defines how modern engineering delivers experience: AI-native, workflow-first, composable, and deeply integrated with Product and Design to ship outcomes—not just software.

Requirements

5-7 years of professional experience in software development
BS or MS in Computer Science or 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).

Nice To Haves

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.

Responsibilities

Contribute into 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.
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.
Partner deeply with Product and Design to define and deliver prioritized critical user journeys.
Partner with Product and Design to continually engage with customers for validation and feedback on software we develop.
Contribute to rapid experimentation loops (hypothesis → instrumentation → learning → iteration).