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Tier-1 brand but niche senior agentic AI role reduces applicant density.
Highly specialized agentic AI, multi-agent orchestration, A2A protocols and cloud SRE skills restrict cross-industry transfer.
Explicit 8–14 years requirement plus mandatory agentic AI, cloud, and SRE expertise.
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Lead architecture and optimization of multi-agent workflows using agent frameworks like LangChain, Langraph, and GoogleADK ensuring scalability across cloud platforms.
Set and enforce runtime, SRE/DevOps, and reliability standards for agentic systems on AWS, Google Cloud, and Azure.
Lead technical hiring, mentoring, incident response, and collaborate with architects and product owners to align platform roadmaps with runtime capabilities.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
8–14 years of progressive software engineering experience focusing on agentic AI, distributed systems, or orchestration platforms.
Proficient in Python and familiarity with at least one additional modern programming language (Java, Go, or C++).
Experience architecting agentic/event-driven systems across AWS, Google Cloud, and Azure with strong expertise in A2A protocols, runtime environments, and cloud-native DevOps.
Technical leader skilled in multi-agent system architecture and cloud-native event-driven platform design.
Experienced in setting and enforcing enterprise-grade standards for reliability, security, and DevOps in a multi-cloud environment.
Demonstrated capability in leading cross-functional teams and managing incident response in production environments.