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Virtual Vocations
all cities,AK
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Leading the Applied AI & Data Platform organization, the remote full-time Director of Engineering, AI Platform will manage the development of AI systems and data infrastructure, focusing on building a reliable platform for administrative tasks while driving organizational growth and innovation.Key responsibilitiesOwn the AI roadmap, setting direction for AI applications and decision-making processesPush AI capabilities deeper into service requests and customer-facing productsLead the data platform, ensuring fast, trustworthy data usage and robust toolingRequired qualifications10+ years of experience in engineering, ML, or data science, with a background in managing multi-team organizationsExperience across various disciplines, including engineering, ML, and data scienceProven track record of deploying ML/AI systems at scale beyond prototypesStrong understanding of LLMs, agents, and production reliability requirementsExpertise in data infrastructure, including pipelines and ML support tools

Turn Job Alerts On
Virtual Vocations Logo
Virtual Vocations
all cities,AK
New

Description

Leading the Applied AI & Data Platform organization, the remote full-time Director of Engineering, AI Platform will manage the development of AI systems and data infrastructure, focusing on building a reliable platform for administrative tasks while driving organizational growth and innovation.Key responsibilitiesOwn the AI roadmap, setting direction for AI applications and decision-making processesPush AI capabilities deeper into service requests and customer-facing productsLead the data platform, ensuring fast, trustworthy data usage and robust toolingRequired qualifications10+ years of experience in engineering, ML, or data science, with a background in managing multi-team organizationsExperience across various disciplines, including engineering, ML, and data scienceProven track record of deploying ML/AI systems at scale beyond prototypesStrong understanding of LLMs, agents, and production reliability requirementsExpertise in data infrastructure, including pipelines and ML support tools


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