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Strong employer brand and Bengaluru metro increase competition despite seniority and niche specialization.
Highly specialized agentic AI platform skills and enterprise architecture focus limit cross-industry transferability.
Explicit 15+ years, mandatory AI platform expertise, and extensive technical stack make shortlisting highly strict.
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Define and lead Autodesk's technical vision and architecture for enterprise-scale Agentic AI platforms enhancing products, workflows, and business operations.
Drive design and development of scalable multi-agent AI systems including orchestration, memory management, and tool execution frameworks.
Establish engineering standards, governance, and best practices while collaborating across engineering, product, security, and leadership to deliver secure, reliable AI services.
Bachelor's degree in Computer Science, Engineering, or related field; Master's or PhD preferred.
15+ years software engineering experience with significant background in 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 cloud platforms (AWS, Azure, or GCP), Kubernetes, microservices; experience leading multi-organization technical strategy.
Visionary engineering leader with deep expertise in AI and distributed enterprise architectures, capable of defining long-term technical strategy balancing innovation and operational excellence.
Experienced in delivering scalable and secure enterprise AI platforms and driving engineering transformations across multiple teams.
Demonstrates capability to influence senior leadership and cross-functional teams, mentors senior engineers, and champions Responsible AI and governance principles in complex AI deployments.