Director of Engineering for AI Platform

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., * 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

• 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

Preferred Qualifications

• 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

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.

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 ;br> Salary transparency

Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $180,000 and $323,070. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

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