Data, AI & Network Integration Engineer

FoxFarm Soil & Fertilizer Company

California, Northern (MO, KY)

Hybrid

USD 80,000 - 120,000

Full time

4 days ago
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Job summary

FoxFarm Soil & Fertilizer Company in Samoa, CA seeks a Data, AI & Network Integration Engineer for a hybrid, full-time role. You will manage the full data lifecycle—from on-premise SQL Server operations to Azure AI and machine learning service integrations—while maintaining Cisco-based network infrastructure for low-latency connectivity to the cloud.

The candidate should have strong DB management or full-stack background, cloud integration skills, and experience with network automation and AI

Qualifications

  • 3-5+ years of experience in MS SQL Server DBA or strong proficiency in C#/.NET
  • Cisco routing, switching and hybrid cloud connectivity experience
  • Hands-on Azure AI Services and OpenAI integration experience
  • Proficiency in T-SQL, stored procedures, data integration tooling
  • Automation using PowerShell or Python for infra and DB tasks

Responsibilities

  • Configure and maintain network connectivity between on-premise systems and Azure.
  • Build and maintain integrations with Azure AI services and manage network security protocols.
  • Tune MS SQL Server databases; monitor bandwidth/latency for synchronization and AI inference speeds.
  • Develop prompts for generative AI/LLMs and assist in model training data preparation.
  • Set up, monitor, and optimize data pipelines between on-prem and Azure; document data flows.

Skills

SQL Server DBA
C#/.NET
Azure AI
Network Integration
Python/PowerShell

Education

Bachelor's degree in CS/IT

Tools

Cisco Networking
Azure OpenAI/Cognitive Search
MS SQL Server
DevNet

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Data, AI & Network Integration Engineer

Full Time Technical CA 1 Attachments

6 days ago Requisition ID: 1019

Salary Range: $80,000.00 To $120,000.00 Hourly

We are seeking an exceptionally skilled Data, AI & Network Integration Engineer for a critical hybrid role at our Samoa, CA location.
This position is responsible for the full lifecycle of our data—from ensuring the performance and security of on-premise SQL Server environments to engineering high-speed data pipelines into Azure and integrating that data with Azure AI and Machine Learning services. A key component of this role is managing the Cisco-based network infrastructure that ensures reliable, low-latency connectivity between our on-premise data centers and the Azure cloud. The ideal candidate has a background in database management or full-stack development with broad skills in cloud integration, network automation, and applied AI.

Job Specific Responsibilities:

  • Configure and maintain network connectivity (e.g. Azure ExpressRoute, VPNs, Cisco routers/switches) to ensure seamless data flow between on-premise systems and cloud services.
  • Design, build, and maintain integrations with Azure AI Services (e.g., Azure OpenAI, Cognitive Search) and manage the underlying network security protocols.
  • Install, configure, maintain, and tune MS SQL Server databases; monitor network bandwidth and latency to optimize database synchronization and AI inference speeds.
  • Utilize Cisco DevNet principles, PowerShell, and Python to automate network provisioning, data preparation, and AI service monitoring.
  • Manage database security, network Access Control Lists (ACLs), and data masking; implement AI-driven threat detection to monitor for anomalies across both data and network layers.
  • Develop, test, and refine prompts for generative AI and Large Language Models (LLMs) to ensure accurate and consistent outputs for business applications.
  • Collaborate with data scientists to cleanse and structure datasets for ML model training, optimizing data placement across the network to minimize latency.
  • Write unit/integration tests and perform network failover testing to ensure total system resilience and high availability.
  • Set Up, manager and monitor data pipelines between on-premise systems and Azure, managing the underlying Cisco network fabric.
  • Support development teams by reviewing database and network interaction code (primarily .NET C#, with exposure to Python).
  • Create and maintain detailed documentation of data flows, network architectures, and AI Integrations.
  • Conform with and abide by all regulations, policies, work procedures, and instructions.
  • All other tasks as assigned by the company.

Knowledge, Skill & Experience: Required:

  • 3-5+ years of experience as a Microsoft SQL Server DBA and/or Strong proficiency in C# and the .NET ecosystem
  • Cisco Networking: Proven experience with Cisco routing, switching and hybrid cloud connectivity.
  • Azure AI Expertise: Hands-on experience integrating with Azure AI Services and OpenAI.
  • Database Mastery: Strong proficiency in writing and optimizing complex T-SQL and stored procedures.
  • AI Techniques: Demonstrable experience with prompt engineering and data preparation for ML models.
  • Automation: Solid experience using PowerShell or Python for infrastructure and database automation.

Preferred Qualifications:

  • Certifications: Cisco CCNA/DevNet or Microsoft Azure DP-300/AI-102.
  • High Availability: Experience with SQL Server Always On Availability Groups and Cisco hardware redundancy.
  • Data Tools: Experience with Azure Data Factory or SSIS for hybrid data integration.
  • Education: Bachelor's degree in computer science, Information Technology or equivalent experience.

We are seeking an exceptionally skilled Data, AI & Network Integration Engineer for a critical hybrid role at our Samoa, CA location.
This position is responsible for the full lifecycle of our data—from ensuring the performance and security of on-premise SQL Server environments to engineering high-speed data pipelines into Azure and integrating that data with Azure AI and Machine Learning services. A key component of this role is managing the Cisco-based network infrastructure that ensures reliable, low-latency connectivity between our on-premise data centers and the Azure cloud. The ideal candidate has a background in database management or full-stack development with broad skills in cloud integration, network automation, and applied AI.

Job Specific Responsibilities:

  • Configure and maintain network connectivity (e.g. Azure ExpressRoute, VPNs, Cisco routers/switches) to ensure seamless data flow between on-premise systems and cloud services.
  • Design, build, and maintain integrations with Azure AI Services (e.g., Azure OpenAI, Cognitive Search) and manage the underlying network security protocols.
  • Install, configure, maintain, and tune MS SQL Server databases; monitor network bandwidth and latency to optimize database synchronization and AI inference speeds.
  • Utilize Cisco DevNet principles, PowerShell, and Python to automate network provisioning, data preparation, and AI service monitoring.
  • Manage database security, network Access Control Lists (ACLs), and data masking; implement AI-driven threat detection to monitor for anomalies across both data and network layers.
  • Develop, test, and refine prompts for generative AI and Large Language Models (LLMs) to ensure accurate and consistent outputs for business applications.
  • Collaborate with data scientists to cleanse and structure datasets for ML model training, optimizing data placement across the network to minimize latency.
  • Write unit/integration tests and perform network failover testing to ensure total system resilience and high availability.
  • Set Up, manager and monitor data pipelines between on-premise systems and Azure, managing the underlying Cisco network fabric.
  • Support development teams by reviewing database and network interaction code (primarily .NET C#, with exposure to Python).
  • Create and maintain detailed documentation of data flows, network architectures, and AI Integrations.
  • Conform with and abide by all regulations, policies, work procedures, and instructions.
  • All other tasks as assigned by the company.

Knowledge, Skill & Experience: Required:

  • 3-5+ years of experience as a Microsoft SQL Server DBA and/or Strong proficiency in C# and the .NET ecosystem
  • Cisco Networking: Proven experience with Cisco routing, switching and hybrid cloud connectivity.
  • Azure AI Expertise: Hands-on experience integrating with Azure AI Services and OpenAI.
  • Database Mastery: Strong proficiency in writing and optimizing complex T-SQL and stored procedures.
  • AI Techniques: Demonstrable experience with prompt engineering and data preparation for ML models.
  • Automation: Solid experience using PowerShell or Python for infrastructure and database automation.

Preferred Qualifications:

  • Certifications: Cisco CCNA/DevNet or Microsoft Azure DP-300/AI-102.
  • High Availability: Experience with SQL Server Always On Availability Groups and Cisco hardware redundancy.
  • Data Tools: Experience with Azure Data Factory or SSIS for hybrid data integration.
  • Education: Bachelor's degree in computer science, Information Technology or equivalent experience.

Typically Monday - Friday 7:30am - 4:00pm in office

Attachments (1)

Job Description_Data, AI and Network Integration Engineer 7.23.26.pdf

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