Autodesk
AEC industry
PrincipalSoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Principal Software Engineer at Autodesk. Skills: Agentic AI, Platform engineering, AI integration. Define technical architecture for agentic AI platform. Evolve MCP tooling”
What You'll Achieve.
Unlock smarter AI-assisted workflows; Ensure platform is secure; Ensure platform is scalable; Ensure platform is built for long term
Industry & Context.
Resolve hard trade-offs
What They're Looking For.
Must Have
5+ years experience, Technical expertise, Strategic thinking, Hands-on engineering
Nice to Have
Experience building AI products, Experience operating AI products, RAG pipelines experience, Embeddings experience, Knowledge graphs experience, Vector search experience, Platform engineering experience, Ecosystem engineering experience, TypeScript familiarity, Serverless architectures familiarity, AWS familiarity, Experience in cross-functional teams, Experience in international teams
What You'll Do.
Define technical architecture for agentic AI platform
Evolve SDK capabilities
Define integration patterns for domain agents
Expose domain agents to AI orchestrators
Serve as technical lead to AI platform team
Converge domain-agent patterns
Enable squads to ship MCPs
Set patterns for MCPs
Unblock teams for MCPs
Drive strategic direction for AI ecosystem participation
Ensure platform is agent-agnostic
Ensure platform is composable
Ensure platform is built for extensibility
Navigate trade-offs in authentication
Navigate trade-offs in authorization
Navigate trade-offs in trust models
Resolve trade-offs for AI-driven workflows
Define OAuth patterns
Define secure agent interactions
Collaborate with product managers
Collaborate with designers
Collaborate with engineers
Connect platform decisions to user outcomes
Elevate thinking in AI domain
Elevate building in AI domain
How You'll Work.
Team & Collaboration
Cross-team boundaries; Across squads; Product managers; Designers; Engineers; International product teams
Communication Scope
Communicate complex ideas; Make concepts accessible
Full Job Description
**Job Requisition ID #** 26WD98096 **Help shape how AI interacts with the future of design** We are looking for a Principal Software Engineer to join us in defining and building the agentic AI layer at Autodesk Forma Design. You will define how Forma's domain agents — analysis, generation, contextual data, authoring — are exposed to Autodesk Assistant, Autodesk's AI platform, and any third-party orchestrator that speaks MCP. One intelligence layer, multiple surfaces, built once. As a Principal Engineer, you'll set technical direction for our agentic capabilities across the organisation. You'll define how we expose Forma's domain agents to AI orchestrators, how we evolve our public APIs and MCP tooling, and how teams across Forma adopt consistent, composable patterns for AI integration. You communicate complex ideas clearly and bring others along, helping teams make better decisions and move faster. Your work will make it possible for architects, planners, and developers to unlock smarter, AI-assisted workflows, while ensuring the platform they rely on is secure, scalable, and built for the long term. ## About us We're on a mission to help design better cities. With 90% of future population growth expected in urban areas, and construction responsible for around 40% of global CO₂ emissions, the AEC industry must evolve. Our cloud-based Autodesk Forma platform helps users evaluate design choices based on environmental impact, living quality (sun, daylight, noise), and project feasibility. We started as Spacemaker in Norway and became part of Autodesk in 2020. [Learn more about Autodesk Forma here.](https://www.autodesk.com/products/forma) ## How we work We work in small, autonomous teams with a high degree of trust and ownership. We strongly believe in servant leadership and team accountability. In each team, software engineers work closely together with product managers and designers. To learn more about our way of working, read through our [tech](https://github.com/s
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