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Acosta Group · 2 weeks ago

Senior Systems Engineer - Azure and AI

Jacksonville, FL

Full-time

Hybrid

Mid, Senior Level

$103K/yr - $125K/yr

7+ years exp

Acosta Group is a collective uniting trusted retail, marketing, and foodservice agencies. The Senior Systems Engineer is responsible for the advanced administration, security, and monitoring of the enterprise server environment, ensuring system reliability and supporting AI initiatives through infrastructure readiness and intelligent automation tools.

ConsultingMarketingRetail

No H1B

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

Qualification

AI infrastructureMicrosoft AzurePythonMicrosoft Power PlatformInfrastructure automationWindows server administrationActive DirectoryAI/ML conceptsNetworking knowledgeHardware troubleshootingAI-enhanced monitoring toolsTCP/IP understandingSoft skills

Required

Applicants must be legally authorized to work in the United States without current or future need for visa sponsorship

High School Diploma or GED

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)

Preferred

Bachelor's degree or equivalent work experience in related field

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)