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Tier-1 brand and Bengaluru metro increase applicant density despite senior niche specialization.
Requires deep, specialized agentic AI and enterprise platform experience, limiting cross-industry transferability.
Very senior mandatory experience and specialized ML/AI platform skills make filtering highly strict.
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Own the technical vision and architecture for enterprise-scale Agentic AI platforms enhancing products and operations.
Lead design and development of scalable multi-agent AI systems with capabilities including planning, reasoning, memory management, and tool orchestration.
Drive engineering standards, governance, security, and cross-organization collaboration for scalable, secure, cloud-native AI services.
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 experience designing enterprise-scale AI, ML, or intelligent automation platforms.
Strong programming skills (Python, Java, Go, or C++), cloud platform expertise (AWS, Azure, GCP), and Kubernetes experience.
Senior technical leader with experience influencing architecture and technical strategy across multiple engineering organizations.
Deep expertise in distributed systems, multi-agent architectures, AI orchestration, and enterprise AI platform engineering.
Proven ability to lead cross-functional collaboration involving Product Management, Security, Research, and Infrastructure to deliver secure, scalable AI platforms.