Distinguished Engineer

Distinguished Engineer

As a Distinguished Engineer, you will serve as a hands-on technical leader driving the next generation of Product Access capabilities, including entitlements, licensing, and access enforcement across cloud and AI-powered products.

You will define and help execute the long-term technical vision for Product Access platforms across Autodesk's product ecosystem, enabling scalable and intelligent access to capabilities for both human and non-human actors, including services, automations, and AI agents.

This role combines deep technical expertise with the ability to influence engineering direction through implementation, mentorship, innovation, and company-wide technical leadership. You will play a critical role in accelerating strategic initiatives, incubating greenfield capabilities, and modernizing engineering practices through AI-assisted software development workflows.

You will operate across organizational boundaries to drive alignment, influence platform adoption, and help teams converge on scalable Product Access solutions that serve long-term company goals. Success in this role requires strong technical judgment, the ability to influence without direct authority, and a pragmatic approach to balancing local team needs with broader platform and business priorities.

This role is expected to drive outcomes with impact across multiple product organizations and strategic company initiatives.

This role is ideal for a deeply technical leader who wants to combine hands-on engineering, platform innovation, and AI-driven development practices to shape the future of how products are built and accessed.

You will help define both the Product Access platform capabilities and the engineering practices that enable the next generation of cloud and AI-powered experiences—while influencing technical direction and engineering strategy across the company at enterprise scale.

Responsibilities:

• Lead the design and implementation of scalable Product Access and entitlement systems supporting cloud, API, and AI-driven products
• Define and drive the long-term technical strategy and engineering vision for Product Access platforms and access enforcement capabilities
• Drive the development of greenfield initiatives and foundational platform capabilities through hands-on prototyping and implementation
• Serve as a technical accelerator across teams by contributing directly to critical projects and resolving complex engineering challenges
• Champion adoption of AI-assisted software development practices, including effective use of tools such as Claude Code to improve engineering productivity, software quality, and delivery velocity
• Establish best practices for integrating AI-assisted workflows into software design, implementation, testing, and operational support
• Design systems supporting access decisions for both human and non-human actors, including services, automations, and AI agents
• Lead the evolution of entitlement and licensing platforms to support subscription, usage-based, and emerging AI-driven consumption models
• Build highly scalable, low-latency, and resilient distributed systems with strong operational excellence
• Influence technical direction across multiple engineering organizations to drive adoption of shared platform capabilities, standards, and engineering practices
• Build strong partnerships across engineering, product, security, and business teams while constructively challenging decisions when needed to ensure long-term scalability and company-wide alignment
• Act as a company-level technical leader, making decisions and recommendations based on what delivers the greatest overall customer and business impact
• Partner deeply with Product Management to shape product capabilities, monetization models, platform evolution, and long-term strategy
• Mentor engineers through hands-on collaboration, code reviews, architecture guidance, and technical leadership
• Evaluate emerging technologies and translate them into practical engineering capabilities and strategic advantages for the organization
• Influence engineering culture by promoting simplicity, developer experience, operational excellence, scalable architectures, and high-quality execution

Minimum Qualifications:

• 12+ years of experience building large-scale distributed systems and platform services
• Strong hands-on software engineering background with the ability to contribute directly to architecture, design, and implementation
• Proven experience building or evolving:
• Product Access platforms
• Entitlement and licensing systems
• Usage-based or consumption-driven services
• Deep expertise in:
• Cloud-native architectures
• Distributed systems design
• Microservices and API design
• Scalability, reliability, and operational excellence
• Recognized technical expertise in distributed systems, platform engineering, or Product Access architectures
• Demonstrated ability to shape engineering direction through technical vision, innovation, and influence
• Strong experience driving engineering productivity improvements through modern tooling and developer platform investments
• Practical experience leveraging AI-assisted software development workflows and tools such as Claude Code, GitHub Copilot, Cursor, or similar technologies in real-world engineering environments
• Familiarity with AI-enabled product patterns, agentic workflows, and API-driven consumption models
• Proven ability to influence technical strategy and drive alignment across multiple organizations without direct authority
• Strong executive communication and stakeholder management skills, with the ability to navigate complex organizational and technical tradeoffs
• Demonstrated ability to balance short-term delivery pressures with long-term platform and architectural sustainability
• Strong product and business acumen, with the ability to align technical decisions with customer and business outcomes

Preferred Qualifications:

• Experience with SaaS licensing and entitlement models
• Experience building platform services used across multiple engineering organizations
• Exposure to developer platforms, internal tooling, or engineering productivity initiatives
• Experience with Kubernetes, event-driven architectures, and modern cloud platforms (AWS, Azure, or GCP)
• Exposure to AI/ML-enabled products and modern AI application architectures
• Experience driving enterprise-scale platform adoption and technical convergence initiatives