<p>We are looking for an experienced Systems Engineer to join our team in Panyesville, Minnesota. In this role, you will lead initiatives to design, implement, and maintain cutting-edge infrastructure solutions while mentoring a team of experienced professionals. </p><p><br></p><p>Responsibilities:</p><p>• Lead the development and implementation of enterprise infrastructure solutions, including servers, storage, networking, virtualization, and cloud technologies.</p><p>• Provide technical guidance and support to the Systems Support team, addressing escalated issues and ensuring efficient task management.</p><p>• Oversee infrastructure and AI-related projects, ensuring alignment with organizational goals and strategies.</p><p>• Design and implement infrastructure to support AI initiatives, including data pipelines, model training, and inference workloads.</p><p>• Collaborate with cross-functional teams to deploy and maintain AI tools, APIs, and services such as machine learning platforms and computer vision systems.</p><p>• Ensure the creation and upkeep of technical documentation and standard operating procedures.</p><p>• Mentor team members to enhance their technical expertise and accountability while facilitating proper onboarding and training.</p><p>• Maintain server and security configurations in compliance with industry standards and best practices.</p><p>• Plan and execute the installation, configuration, and testing of hardware, software, and system management tools.</p><p>• Promote proactive system management practices, including monitoring, patching, and endpoint configuration.</p>

• Proven experience in infrastructure design, implementation, and support, including servers, virtualization, and cloud technologies.<br>• Expertise in Active Directory, Windows Server, Azure Active Directory, Exchange, and Office 365.<br>• Hands-on experience with VMware and desktop virtualization technologies.<br>• Strong technical background with the ability to guide and mentor team members while managing day-to-day operations.<br>• Knowledge of AI-related technologies, including machine learning pipelines and Retrieval-Augmented Generation systems.<br>• Familiarity with data privacy, model governance, and responsible AI principles.<br>• Certifications such as VMware, Azure, or AI-related credentials (e.g., AI Engineer, Google Cloud ML Engineer) are preferred.<br>• Bachelor's degree in a related field and a minimum of 5 years of relevant experience.

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