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Data, AI & Network Integration Engineer

  • On-site
  • Posted Aug 14, 2026
  • 1 position

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Employment type
Full-time
Experience level
Mid-level · 5+ years
Minimum education
Bachelor’s degree
Posting language
English
Working hours
40 hours per week

Job summary

This role manages the full lifecycle of data, including on-premise SQL Server maintenance, Azure cloud integration, and AI service deployment. It also involves overseeing Cisco-based network infrastructure to ensure secure, low-latency connectivity between data centers and the cloud.

Job details

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

What you’ll do

This role manages the full lifecycle of data, including on-premise SQL Server maintenance, Azure cloud integration, and AI service deployment. It also involves overseeing Cisco-based network infrastructure to ensure secure, low-latency connectivity between data centers and the cloud.

Requirements

Candidates must have 3-5+ years of experience as a Microsoft SQL Server DBA or strong proficiency in C# and the .NET ecosystem. Proven expertise in Cisco networking, Azure AI services, and automation scripting with PowerShell or Python is required.

Listed skills

  • C++ · Preferred
  • .NET · Preferred
  • Python · Preferred
  • Machine learning · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • SQL Server
  • Azure AI
  • Cisco Networking
  • C#
  • .NET
  • T-SQL
  • PowerShell
  • Python
  • Prompt Engineering
  • Machine Learning
  • Azure ExpressRoute
  • Network Automation
  • Database Management
  • Data Pipelines
  • Cloud Integration
  • Azure OpenAI
  • Microsoft Azure Expressroute
  • Large Language Modeling
  • Full Stack Development
  • Cloud Services
  • Network Infrastructure
  • Hybrid Cloud Computing
  • Generative Artificial Intelligence
  • Azure Data Factory
  • Threat Detection
  • AI/ML Inference
  • Resilience
  • Data Preprocessing
  • Machine Learning Model Training
  • Cisco Routers Switches
  • .NET Framework
  • Advanced Cardiovascular Life Support (ACLS) Certification
  • Artificial Intelligence
  • Automation
  • Microsoft Azure
  • C# (Programming Language)
  • Cisco Certified Network Associate
  • Cisco Hardwares
  • Textiles
  • Computer Science
  • Information Technology
  • Data Centers
  • Dataflow
  • Data Integration
  • Data Masking
  • Database Administration
  • Database Security
  • Database Tuning
  • Failover Testing
  • Virtual Private Networks (VPN)

Job areas

  • Technology
  • Data & Analytics
  • Software
  • Engineering
  • Security & Safety
  • Network Integration Engineer
  • Artificial Intelligence Engineer (General)
  • Software Developers