Data, AI & Network Integration Engineer

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. Typically Monday - Friday 7:30am - 4:00pm in office Attachments (1) Job Description_Data, AI and Network Integration Engineer 7.23.26.pdf