AI Solutions Engineer

Stack

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Description

Your mission Harmonize the different AI tools and initiatives already taking shape across teams into one coherent, company-wide approach Design and roll out new AI-driven workflows - using agents, skills, and similar methods - that put our AI strategy into practice Own the AI infrastructure - cloud and on-premises - that powers these workflows, from architecture through deployment Serve as the internal reference point for AI, advising projects on regulatory, compliance, and risk questions Vet and validate externally sourced AI components before they enter our products or processes Grow AI literacy across the organization through mentoring, knowledge-sharing, and hands-on enablement Your profile Degree in Computer Science, Artificial Intelligence, Data Science, or a related field 5+ years of hands-on experience in AI/ML engineering or AI solution architecture A proven track record of taking at least one AI/ML solution from concept to real-world production - not just a proof of concept Working knowledge of both cloud-based and on-premises or local AI infrastructure Sound understanding of AI governance and regulatory considerations, ideally within a regulated industry Excellent communication skills, able to translate technical depth into terms non-technical stakeholders act on You are Independent and resourceful in execution, turning direction into concrete, working solutions Analytical, hands-on, and pragmatic - equally comfortable in the details and the big picture A confide

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