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Tier-1 employer and metro Bengaluru location increase applicant competition despite seniority.
Highly domain-specific AI platform and distributed systems expertise limits cross-industry transferability.
Explicit 15+ years and specialized ML platform leadership make hiring filters highly stringent.
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Lead architecture and enterprise adoption of Agentic AI platforms that enhance Autodesk products and operations.
Define technical vision and strategy for scalable, distributed AI agent systems involving planning, reasoning, and orchestration.
Establish engineering standards, reusable AI platform capabilities, and drive cross-organizational technical leadership including mentorship and collaboration with product and security teams.
Bachelor's degree in Computer Science, Engineering or related field required; Master's or PhD preferred.
15+ years software engineering experience with 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++), deep expertise in cloud platforms (AWS, Azure, GCP), Kubernetes, microservices, and API technologies.
Visionary engineering leader with deep expertise in AI, distributed systems, and enterprise architecture.
Experienced in defining long-term AI platform strategy balancing innovation, scalability, security, and operational excellence.
Proven ability to influence engineering strategy across organizations, deliver innovative scalable solutions, and mentor senior technical leaders.