Principal AI Software Developer

Principal Software Engineer

Autodesk is transforming how customers access, consume, and pay for the products that help them design and make the world around us. We are building a next-generation usage-based billing platform that will power Autodesk's consumption-based business model at global scale. We are looking for a Principal Software Engineer to help lead the architecture, execution, and operational excellence of this platform. This is a senior individual contributor role for an engineer who has built and operated distributed systems in production, understands the trade-offs behind scalable architecture, and wants to solve business-critical problems with deep technical rigor.

You will work on real-time, event-driven systems that process product usage, support billing workflows, and enable reliable customer experiences across Autodesk's global portfolio. You will influence system design, technical strategy, engineering practices, and cross-team execution while remaining close to the code. This is not a narrow feature-delivery role. It is an opportunity to shape a foundational commerce platform for Autodesk, raise the engineering bar, and help build systems where correctness, reliability, latency, cost efficiency, and operability all matter.

At Autodesk, platform teams are expected to drive measurable outcomes, reduce friction for product teams, and enable stronger execution across the portfolios. In this role, you will:

• Work on a business-critical platform that directly enables Autodesk's shift toward consumption-based models.
• Design and operate high-scale distributed systems where correctness and reliability are essential.
• Own problems end to end, from architecture and implementation through production operations and continuous improvement.
• Collaborate with product, finance, commerce, platform, data, and engineering teams across Autodesk.
• Use modern cloud-native architecture, event-driven patterns, observability, and agentic engineering practices to move faster without compromising quality.
• Mentor strong engineers and influence technical direction beyond your immediate team.
• Work in agentic engineering practices that reduce repetitive work and improve development, testing, delivery, and operational workflows.

Responsibilities:

• Lead the architecture, design, and implementation of secure, scalable, maintainable backend systems for Autodesk's global usage-based billing platform.
• Build and optimize distributed services, event-driven workflows, APIs, and data-processing pipelines that support real-time usage capture, rating, billing, reconciliation, and downstream integrations.
• Write high-quality, secure, testable production code in Java, Python, Go, or similar languages.
• Use coding agents and AI-assisted across design, implementation, testing, documentation, migration, and operational workflows.
• Own critical service-level outcomes, including SLOs, SLIs, observability, alerting, resilience, incident readiness, and post-incident improvements.
• Drive technical design reviews, code reviews, architecture documents, and operational readiness reviews.
• Identify and resolve complex performance, scalability, correctness, reliability, and cost-efficiency challenges.
• Partner with product managers, engineering managers, architects, finance systems, commerce teams, and other platform teams to translate business goals into durable technical solutions.
• Contribute to the technical roadmap, including platform modernization, technical debt reduction, migration strategy, and long-term architectural direction.
• Mentor senior and mid-level engineers, helping the team make better architectural decisions and operate more effectively.
• Share effective patterns and help other engineers develop strong judgment about when and when not to use AI.

Minimum Qualifications:

• Bachelor's degree in computer science, Engineering, a related technical field, or equivalent practical experience.
• 8+ years of professional software engineering experience.
• Experience with AI Agent tools & frameworks.
• Experience building and integrating MCP tools.
• Experience building Agentic experiences and AI Automation.
• Strong backend engineering experience building and operating…