Senior Systems Engineer - Azure and AI

Acosta, Inc.•Rogers, AR

44d•Hybrid

About The Position

The Senior Systems Engineer (Artificial Intelligence) is responsible for the advanced administration, security, and monitoring of Acosta's enterprise 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 Acosta'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 windows. 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. This is a hybrid role based in our office environment in either Jacksonville, FL; Lewisville, TX; St Louis, MO; Rogers,AR; or Mississauga/Toronto, ON . Candidates will be expected to work as much as 3 days per week onsite depending on proximity to corporate hubs.

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 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)
Applicants must be legally authorized to work in the United States without current or future need for visa sponsorship . Unfortunately, this position does not support sponsorship for employment visas (e.g., H-1B, OPT, CPT).

Nice To Haves

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

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.