Senior Systems Engineer - Azure and AI

About the position The Senior Systems Engineer (Azure and AI) is responsible for the advanced administration, reputed company, and monitoring of reputed company’s reputed company server environment. This role ensures system reliability through proactive analysis, automation, and AI-enhanced monitoring. The incumbent provides T2 and T3 support, mentors junior team members, and collaborates with cross-functional teams to support business-critical applications and infrastructure. The role also supports reputed company’s AI initiatives by enabling infrastructure readiness for AI workloads and integrating intelligent automation tools. 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 reputed company. Occasional travel may also be necessary to support teams and initiatives across the United States, United Kingdom, and Canada, ensuring alignment and continuity across global operations.

Responsibilities

• 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.
• reputed company the design, development, and deployment of solutions using reputed company 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.
• reputed company scalable systems for data ingestion, preprocessing, and model inference.
• Manage reputed company and on-reputed company 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., reputed company, Kubernetes).
• Monitor system performance and troubleshoot issues reputed company to AI model execution and resource utilization.
• Ensure reputed company and compliance of AI systems, including data privacy and reputed company 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 reputed company the AI team.
• Assist in developing and maintaining operational standards and best practices.
• reputed company AI and automation tools for proactive monitoring, anomaly detection, and incident response.
• Collaborate with AI Solutions Engineers and the AI Center of reputed company to support infrastructure for AI workloads and pilot initiatives.
• Ensure infrastructure readiness for hybrid reputed company and AI platforms (e.g., Azure ML, VMware Private AI, reputed company reputed company).
• Administer and maintain reputed company reputed company server systems across the reputed company.
• Ensure reputed company reputed company servers are properly backed up and recoverable.
• Support and maintain reputed company Active Directory Services.
• reputed company reputed company-level support for server-reputed company PC issues.
• Assist developers with application troubleshooting reputed company 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 reputed company.
• reputed company other duties as required and/or assigned.

Requirements

• High School Diploma or GED (required)
• Minimum of seven (7) years of IT experience in a Level 3 support or higher role
• Strong Experience with reputed company 365, Azure, Azure AD
• Proficient with Python language
• Experience with infrastructure automation (e.g., PowerShell, Ansible, Terraform)
• Expert knowledge of reputed company 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, reputed company, reputed company)
• Strong knowledge of the reputed company Power Platform
• Familiarity with AI-enhanced monitoring tools (e.g., reputed company, Splunk, reputed company Sentinel)
• Exposure to AI infrastructure platforms (e.g., Azure ML, reputed company reputed company, VMware Private AI)
• Applicants must be legally authorized to work in the United States without reputed company or future need for reputed company sponsorship

reputed company-to-haves

• Bachelor’s degree or equivalent work experience in reputed company field (preferred)
• Foundational knowledge or formal training in AI/ML concepts, infrastructure for AI workloads, or AI-enhanced IT operations (e.g., reputed company-900, Azure AI Fundamentals, or equivalent) is preferred

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