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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director of Engineering for AI Platform - **Company:** BINGHAMTOM UNIVERSITY - **Location:** United States - **Experience:** Expert - **Salary:** $180,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Foundry, Distributed Systems, PDMS, Large Language Models, Build Tools, Front End Software Development, Autodesk Autocad - **Published:** August 15, 2026 - **Apply:** https://www.themuse.com/jobs/autodesk/director-of-engineering-ai-platform?utm_source=uconnect ## About the Role * 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. ## Description 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 ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [CD2CF - Continuous Deployment to Cloud Foundry](https://www.wearedevelopers.com/videos/333-cd2cf-continuous-deployment-to-cloud-foundry) - [The New Org Chart: When AI Joins the Workforce](https://www.wearedevelopers.com/videos/100036-the-new-org-chart-when-ai-joins-the-workforce) - [Building a framework-independent component library](https://www.wearedevelopers.com/videos/1679-building-a-framework-independent-component-library) - [AI Won't Fix Your Engineering Culture](https://www.wearedevelopers.com/videos/100266-ai-won-t-fix-your-engineering-culture) - [Kubernetes dev is fun, but setup and ops isn't! See a fun PaaS alternative to push any code, ipynbs or even just data!](https://www.wearedevelopers.com/videos/732-kubernetes-dev-is-fun-but-setup-and-ops-isn-t-see-a-fun-paas-alternative-to-push-any-code-ipynbs-or-even-just-data) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)