Senior Systems Engineer – Azure, AI

Role Overview

• Implement AI infrastructure to support machine learning and deep learning workflows.
• Collaborate with data scientists and AI researchers to optimize model training and deployment environments.
• Oversee the design, development, and deployment of solutions using Microsoft Power Platform (Power Apps, Power Automate, Power BI, and Power Virtual Agents).
• Utilize Python for building, automating, and maintaining scalable machine learning pipeline and infrastructure.
• Develop scalable systems for data ingestion, preprocessing, and model inference.
• Manage cloud and on-premise resources for AI workloads, including GPUs, TPUs, and high-performance storage.
• Automate deployment pipelines for AI models using CI/CD tools and containerization (e.g., Docker, Kubernetes).
• Monitor system performance and troubleshoot issues related to AI model execution and resource utilization.
• Ensure security and compliance of AI systems, including data privacy and access controls.
• Evaluate and integrate new technologies to improve AI system efficiency and scalability.
• Document system architecture and processes for internal teams and stakeholders.
• Mentor junior engineers and contribute to technical leadership within the AI team.
• Assist in developing and maintaining operational standards and best practices.
• Leverage AI and automation tools for proactive monitoring, anomaly detection, and incident response.
• Collaborate with AI Solutions Engineers and the AI Center of Excellence to support infrastructure for AI workloads and pilot initiatives.
• Ensure infrastructure readiness for hybrid cloud and AI platforms (e.g., Azure ML, VMware Private AI, NVIDIA AI Enterprise).
• Administer and maintain all Windows server systems across the enterprise.
• Ensure all Windows servers are properly backed up and recoverable.
• Support and maintain Microsoft Active Directory Services.
• Provide third-level support for server-related PC issues.
• Assist developers with application troubleshooting related to server/network infrastructure.
• Design and implement new systems to support business initiatives.
• Evaluate and test emerging server, network, and AI-enhanced technologies.
• Maintain and enforce change control processes.
• To support critical business operations and technology deployments, after-hours availability—including nights and weekends—may occasionally be required, particularly during incident response, system upgrades, or maintenance windows.
• Perform other duties as required and/or assigned.

Requirements

• High School Diploma or GED (required)
• Bachelor’s degree or equivalent work experience in related field (preferred)
• Foundational knowledge or formal training in AI/ML concepts, infrastructure for AI workloads, or AI-enhanced IT operations (e.g., Microsoft AI-900, Azure AI Fundamentals, or equivalent) is preferred
• Minimum of seven (7) years of IT experience in a Level 3 support or higher role
• Strong Experience with Microsoft 365, Azure, Azure AD
• Proficient with Python language
• Experience with infrastructure automation (e.g., PowerShell, Ansible, Terraform)
• Expert knowledge of Microsoft server platforms and networking (Active Directory, Exchange, Group Policy, DHCP, DNS)
• Strong understanding of TCP/IP, VPN, and LAN/WAN environments
• Proficient in hardware troubleshooting (Dell, HP, Cisco)
• Strong knowledge of the Microsoft Power Platform
• Familiarity with AI-enhanced monitoring tools (e.g., Dynatrace, Splunk, Microsoft Sentinel)
• Exposure to AI infrastructure platforms (e.g., Azure ML, NVIDIA AI Enterprise, VMware Private AI)

Tech Stack

• Ansible
• Azure
• Cloud
• DNS
• Docker
• Kubernetes
• Python
• Splunk
• TCP/IP
• Terraform
• VMware

Benefits

• Health insurance
• 401(k) matching
• Flexible work arrangements
• Professional development opportunities