Director of Engineering, AI Platform

Job Requisition ID #

26WD96379

Position Overview

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.

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

• 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

• 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

• 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

• 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

• 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