FoxFarm Soil & Fertilizer Company is are seeking an exceptionally skilled Data, AI & Network Integration Engineer for a critical in-person role at our Samoa, CA location . Please review Samoa, CA location prior to applying as you will be expected to be in-office. This non-exempt (hourly) 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.

Key Responsibilities:

Network & Connectivity:

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.

AI Integration:

Design, build, and maintain integrations with Azure AI Services (e.g., Azure OpenAI, Cognitive Search) and manage the underlying network security protocols.

Management & Performance:

Install, configure, maintain, and tune MS SQL Server databases; monitor network bandwidth and latency to optimize database synchronization and AI inference speeds.

Infrastructure Automation:

Utilize Cisco DevNet principles, PowerShell, and Python to automate network provisioning, data preparation, and AI service monitoring.

Security & Compliance:

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.

Prompt Engineering:

Develop, test, and refine prompts for generative AI and Large Language Models (LLMs) to ensure accurate and consistent outputs for business applications.

ML Data Preparation:

Collaborate with data scientists to cleanse and structure datasets for ML model training, optimizing data placement across the network to minimize latency.

Testing & Quality:

Write unit/integration tests and perform network failover testing to ensure total system resilience and high availability.

Integration & Business Analysis Cloud Integration:

Set up, manage, and monitor data pipelines between on-premise systems and Azure, managing the underlying Cisco network fabric.

Development Support:

Support development teams by reviewing database and network interaction code (primarily .NET C#, with exposure to Python).

Documentation:

Create and maintain detailed documentation of data flows, network architectures, and AI integrations. Required Qualifications 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.

Pay:

$80,000.00 - $120,000.00 per year

Benefits:

401(k) 401(k) matching Dental insurance Employee assistance program Employee discount Health insurance Life insurance Paid time off Retirement plan Vision insurance People with a criminal record are encouraged to apply

Work Location:

In person