Hybrid Senior Systems Engineer – Azure, AI

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About the role

  • Senior Systems Engineer managing Azure and AI infrastructures for Acosta's enterprise. Implementing AI solutions and collaborating across teams to support critical applications.

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.
  • 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)

Benefits

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

Job title

Senior Systems Engineer – Azure, AI

Job type

Experience level

Senior

Salary

$102,900 - $125,000 per year

Degree requirement

High School Diploma

Location requirements

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