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Senior, highly specialized Agentic AI principal role at a Tier-1 company limits qualified applicant density.
Deep agentic AI and platform expertise creates strong domain bias and limited transferability.
Explicit 15+ years and specific AI platform, cloud, and governance requirements enforce very strict candidate filters.
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Lead architecture and development of scalable, secure Agentic AI platforms integrating multi-agent systems with autonomous reasoning, memory, and tool orchestration.
Drive technical strategy and standards for AI agent platforms across multiple engineering organizations, collaborating with Product, Research, Security, and Infrastructure.
Build cloud-native AI services with focus on observability, resilience, security, and enterprise governance to support AI workflows and integrations with foundation models.
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 designing enterprise-scale AI/ML or intelligent automation platforms.
Strong programming skills in Python, Java, Go, or C++; deep expertise with cloud platforms (AWS, Azure, GCP), Kubernetes, microservices, REST APIs.
Senior technical leader with proven experience leading architecture and technical strategy across multiple engineering teams.
Deep domain expertise in multi-agent AI systems, autonomous AI agents, and advanced AI orchestration frameworks.
Experienced in driving enterprise AI platform adoption including governance, security, compliance, and operational excellence in large scale environments.