Agentic AI Engineer, Vice President
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, visible AI leadership title, metro location, broad multi-cloud and governance requirements.
Highly specialized platform, multi-agent, and governance expertise creates strong domain bias and low transferability.
Explicit 12–17 years, VP leadership, multi-cloud and agentic AI governance experience required.
Job Description
Structured overview of role & requirementsAbout This Role
Own and set strategic vision and architecture for the enterprise agentic AI platform across multi-cloud (AWS, Google Cloud, Azure) with focus on scalability, security, governance, and cost optimization.
Lead and develop engineering leadership talent while driving platform-wide reliability, innovation, and adherence to organizational standards in multi-agent orchestration and AI-driven systems.
Represent platform leadership in executive governance forums influencing cloud adoption, compliance, risk management, and performance reviews of agentic AI solutions.
Minimum Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field; advanced degrees a plus.
12–17 years of experience including leadership of large-scale, multi-agent or AI-driven platforms.
Proficiency in Python and familiarity with at least one additional modern programming language (e.g., Java, Go, C++).
Extensive hands-on and leadership experience with multi-cloud environments (AWS, Google Cloud, Azure), focusing on security, governance, and cost optimization.
Ideal Candidate Profile
Senior-level technology leader with proven strategic ownership of platform architecture and technology roadmaps in agentic AI systems.
Experienced in building and leading engineering leadership teams in cloud-native, multi-agent AI platform environments.
Skilled in cross-functional partnership including executive engagement to influence organizational standards and innovation in enterprise AI governance and compliance.