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Tier-1 brand and Bangalore metro increase applicant density, but senior, niche AI platform requirements reduce competition.
Deep AI platform, distributed systems, and enterprise architecture expertise limit cross-industry transferability.
Explicit 15+ years, mandatory enterprise AI platform experience, and principal-level architecture leadership enforce strict screening.
Lead architecture, development, and enterprise adoption of scalable, secure AI agent platforms enhancing products, workflows, and operations.
Define technical vision and reference architecture for multi-agent systems with capabilities like planning, reasoning, memory, tool orchestration, and human-in-the-loop workflows.
Drive AI platform standards, engineering best practices, governance models, and collaborate cross-functionally to deliver enterprise-grade AI solutions.
Bachelor's degree in Computer Science, Engineering or related; 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/intelligent automation platforms.
Proficiency with cloud platforms (AWS, Azure, GCP), Kubernetes, microservices, REST APIs, plus leadership managing architecture across engineering organizations.
Visionary engineering leader with deep expertise in AI, distributed systems, and enterprise architecture influencing cross-org technology strategy.
Experienced in building enterprise-scale AI platforms balancing innovation, scalability, security, and operational excellence.
Strong mentor and communicator capable of working with executive leadership and fostering engineering standards and governance for AI solutions.