Director of Engineering, AI Platform
About The Position
The Director of Engineering for AI Platform is accountable for the modern, AI-first experience layer that defines Autodesk’s unified, workflow-first front experience. This leader is responsible for the AI Platform experience stack — including the agentic experience surface, workflow orchestration canvas, and dynamic interfaces. The mandate is to deliver a cohesive, intelligent, and trustworthy end-to-end experience that turns user intent into outcomes across products and domains. This is not a feature leadership role. It is platform-level experience leadership. The Director ensures that modern engineering practices, AI-native architectures, and cross-product orchestration come together as a single, coherent system. The role requires deep collaboration with Product and Experience (Design). A strong product mindset is essential, and prior product management experience is preferred. You’ll work with teammates across the globe and will travel up to 15% of the time for face-to-face meetings like conferences, team offsites, and team visits. This role is hybrid, remote, or in office based in the US.
Requirements
- 10+ years of engineering experience, with 5+ years leading engineering managers or senior technical leaders
- Proven experience delivering modern, cloud-native platform capabilities at scale
- Strong 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)
- Track record of delivering cross-product or platform-level initiatives that require high stakeholder alignment
- Experience driving measurable customer outcomes through workflow-oriented engineering
- Excellent communication and executive presence; ability to influence across engineering, product, and design leadership
Nice To Haves
- Experience leading AI-first or agentic platform initiatives
- Prior product management experience or strong product strategy exposure
- Experience building dynamic or generative UI systems
- Familiarity with MCP-style integration models or composable tool architectures
- Experience scaling engineering organizations through platform transformations
- Experience working across multiple industries or domain ecosystems
Responsibilities
- Experience Accountability
- Accountable for 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
- Accountable for usability, coherence, performance, and trust—not just backend capabilities
- Embed traceability, auditability, reversibility, and measurable autonomy into all agentic workflows
- AI-First Development
- Lead AI-first architecture and development practices across the experience layer
- Deliver agentic orchestration, context retention across sessions, and composable capability invocation
- Implement incremental trust models (human-in-the-loop, review gates, confidence signaling)
- Champion AI-assisted engineering practices to increase velocity, quality, and experimentation speed
- Workflow-Oriented Platform Engineering
- Build systems that support workflow-first orchestration rather than product-silo execution
- Enable domain teams to integrate capabilities as composable modules that can be invoked consistently across surfaces
- Ensure integration once, composition everywhere across AI Platform and product UIs
- Collaboration with Product & Experience
- Partner deeply with Product and Design to define and deliver prioritized critical user journeys
- Contribute to roadmap strategy and tradeoff decisions with a strong product lens
- Drive rapid experimentation loops (hypothesis → instrumentation → learning → iteration)
- Ensure alignment between engineering execution and measurable workflow outcomes
- Organizational Leadership
- Build and lead a high-performing, AI-native engineering organization
- Establish clear goals, success metrics, and outcome accountability
- Scale leadership across managers and senior engineers
- Operate effectively across domains (AEC, PDMS, IME, AOS) and platform stakeholders
Benefits
- From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work.
- Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
