Systems Engineer

Job Description

Job Description

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.

Responsibilities :

• Lead the development and implementation of enterprise infrastructure solutions, including servers, storage, networking, virtualization, and cloud technologies.
• Provide technical guidance and support to the Systems Support team, addressing escalated issues and ensuring efficient task management.
• Oversee infrastructure and AI-related projects, ensuring alignment with organizational goals and strategies.
• Design and implement infrastructure to support AI initiatives, including data pipelines, model training, and inference workloads.
• Collaborate with cross-functional teams to deploy and maintain AI tools, APIs, and services such as machine learning platforms and computer vision systems.
• Ensure the creation and upkeep of technical documentation and standard operating procedures.
• Mentor team members to enhance their technical expertise and accountability while facilitating proper onboarding and training.
• Maintain server and security configurations in compliance with industry standards and best practices.
• Plan and execute the installation, configuration, and testing of hardware, software, and system management tools.
• Promote proactive system management practices, including monitoring, patching, and endpoint configuration.
• Proven experience in infrastructure design, implementation, and support, including servers, virtualization, and cloud technologies.
• Expertise in Active Directory, Windows Server, Azure Active Directory, Exchange, and Office 365.
• Hands-on experience with VMware and desktop virtualization technologies.
• Strong technical background with the ability to guide and mentor team members while managing day-to-day operations.
• Knowledge of AI-related technologies, including machine learning pipelines and Retrieval-Augmented Generation systems.
• Familiarity with data privacy, model governance, and responsible AI principles.
• Certifications such as VMware, Azure, or AI-related credentials (e.g., AI Engineer, Google Cloud ML Engineer) are preferred.
• Bachelor's degree in a related field and a minimum of 5 years of relevant experience.