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Tier-1 brand and Bangalore metro increase competition, but niche senior ML/AI platform focus limits applicant density.
Requires deep agentic AI, LLM integration, and distributed systems expertise, limiting cross-industry transferability.
Explicit 15+ years and mandatory AI platform, cloud, and distributed systems expertise create strict filters.
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Lead architecture and development of scalable, enterprise-grade Agentic AI platforms integrating multi-agent systems, reasoning, memory management, and tool orchestration.
Drive technical strategy, establish engineering standards, and collaborate cross-functionally to deliver secure, reliable, and compliant AI solutions across Autodesk.
Mentor senior technical leaders, manage AI platform adoption, and influence long-term AI technology vision and enterprise AI governance.
Bachelor's degree in Computer Science, Engineering, or related field; Master's or PhD preferred.
15+ years software engineering experience with distributed systems and cloud-native platforms.
5+ years experience designing enterprise-scale AI, ML, or intelligent automation platforms.
Expertise in Python, Java, Go, or C++; cloud platforms (AWS, Azure, GCP); Kubernetes; microservices; and API technologies.
Visionary engineering leader skilled in AI, distributed systems, and enterprise architecture with a focus on scalable, innovative AI platforms.
Proven ability to define and implement long-term technical vision balancing innovation, security, and operational excellence across multiple teams.
Experienced in technical leadership, organizational influence, mentoring senior engineers, and embedding Responsible AI, security, and compliance in enterprise solutions.