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Data, AI & Network Integration Engineer.

Data Engineering & Architecture Full-Time

Data, AI & Network Integration Engineer: our view in 3 lines...

  • The Role:This role combines data integration, Azure AI work, SQL Server administration, and Cisco network connectivity for on-premise and cloud systems.
  • The Person:The person will maintain SQL Server databases, build Azure data and AI integrations, automate network and database tasks, manage Cisco connectivity, and test resilience across the on-premise and cloud environment.
  • Requirements:The role requires 3-5+ years of experience as a Microsoft SQL Server DBA and/or strong proficiency in C# and the .NET ecosystem, plus Cisco Networking, Azure AI Services, and PowerShell or Python.

About the role

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

Published August 14, 2026
Location CA, Canada
Job Type Full-Time