Director of Machine Learning, AI Infrastructure
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The role
Lead the technical strategy and execution for the Agent Orchestrator Infrastructure that powers enterprise-scale AI workflows, aligning initiatives with business goals and customer outcomes.
Architect and drive the evolution of agentic architectures, including A2A and MCP protocols, to enable seamless orchestration of internal and partner agents.
Build and mentor a multidisciplinary team of engineers, data scientists, and solution architects to deliver scalable AI-powered workflows with reliability and quality.
Champion cloud-native platforms, microservices, API design, and secure, compliant AI model deployment with a strong emphasis on security and privacy.
Drive 99.9%+ platform uptime and measurable delivery outcomes through scalable automation, robust data infrastructure, and advanced AI-driven decision engines.
Collaborate across product management, UX, and field organizations to translate customer challenges into automated solutions that accelerate time-to-value.
Architect and drive the evolution of agentic architectures, including A2A and MCP protocols, to enable seamless orchestration of internal and partner agents.
Build and mentor a multidisciplinary team of engineers, data scientists, and solution architects to deliver scalable AI-powered workflows with reliability and quality.
Champion cloud-native platforms, microservices, API design, and secure, compliant AI model deployment with a strong emphasis on security and privacy.
Drive 99.9%+ platform uptime and measurable delivery outcomes through scalable automation, robust data infrastructure, and advanced AI-driven decision engines.
Collaborate across product management, UX, and field organizations to translate customer challenges into automated solutions that accelerate time-to-value.
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