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Strong brand, metro location, and senior ML leadership role create moderate candidate competition.
Highly specialized agentic AI, LLM, and distributed systems expertise limits cross-industry transferability.
Explicit 15+ years requirement, mandatory enterprise AI platform experience, and deep technical stack enforce strict screening.
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Lead architecture and enterprise adoption of scalable, secure AI agent platforms with capabilities like multi-agent orchestration, memory management, and reasoning.
Define technical vision, establish engineering standards and best practices for agentic AI systems used across multiple Autodesk business units.
Drive innovation and operational excellence in cloud-native AI services including integrations with foundation models and compliance with AI governance and security standards.
Bachelor's degree in Computer Science, Engineering, or related field; Master’s or PhD preferred.
15+ years software engineering experience including distributed systems and cloud-native platforms.
5+ years designing enterprise-scale AI, ML, or intelligent automation platforms.
Strong programming skills (Python, Java, Go, or C++), experience with AWS/Azure/GCP, Kubernetes, REST APIs, and technical leadership across engineering orgs.
Engineering leader with proven expertise delivering enterprise-scale AI platforms combining AI, distributed systems, and cloud-native architecture.
Experienced in defining and executing long-term technical vision balancing innovation, scalability, security, and enterprise governance.
Skilled at influencing multi-organization engineering strategy, mentoring senior technical leaders, and leading complex AI platform initiatives with measurable business impact.