Director of Engineering, AI Platform

Job Requisition ID #

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
   

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
   

Minimum Qualifications

• 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