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Strong Autodesk brand and metro location increase applicant density, but senior niche Agentic-AI skillset limits qualified applicants.
Highly domain-specific role demanding agentic AI, LLM orchestration and distributed systems expertise across industries.
Explicit 15+ years requirement plus deep enterprise AI platform and leadership needs make shortlisting highly selective.
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Lead the architecture and development of Autodesk's enterprise Agentic AI platforms, focusing on scalable multi-agent systems for planning, reasoning, memory, and tool orchestration.
Define and enforce engineering standards, architectural patterns, and governance for AI agent development and enterprise AI governance including security and compliance.
Drive collaboration across engineering, Product Management, Research, Security, and executive leadership to deliver secure, scalable, and reliable AI solutions and lead AI platform strategy and adoption.
Bachelor's degree in Computer Science, Engineering, or related field; Master's or PhD preferred.
15+ years of software engineering experience including distributed systems and cloud-native platforms.
5+ years experience designing enterprise-scale AI, ML, or intelligent automation platforms.
Strong programming skills (Python, Java, Go, or C++), deep expertise with AWS, Azure, or GCP; experience with Kubernetes, microservices, REST APIs required.
Proven ability to lead architecture and technical strategy across multiple engineering organizations in large enterprises.
Deep technical knowledge of multi-agent AI architectures, reasoning systems, AI orchestration, and enterprise AI platform development.
Experienced in integrating foundation AI models and frameworks, with expertise in AI governance, security, and responsible AI practices at scale.