1

Ai Network Engineer Jobs in Kentucky (NOW HIRING)

$84K - $101K/yr

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 ...

Reporting to the Senior Manager of Network Operations, the Network Engineer provides technical ... Demonstrated ability and willingness to use AI tools to improve productivity, decision-making, work ...

$81K - $103K/yr

Implementation Planning, Network Engineering, Technical Support, WAN Networking, WAN Routing ... AI-powered career tool that identifies career steps and learning opportunities Support: An internal ...

$125K - $180K/yr

Our mission is to accelerate AI innovation by combining powerful hardware with white-glove service and flexible, custom-built environments. Position Summary We are seeking a Sr. Network Engineer to ...

Network Engineer, Mid

Fort Knox, KY · On-site

$61K - $141K/yr

Network Engineer, Mid The Opportunity: A well-designed network is critical to move data and enable ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

$117K - $195K/yr

NTT DATA is seeking a Lead Network Engineer to serve as the senior network engineering subject ... We are one of the world's leading AI and digital infrastructure providers, with unmatched ...

By combining AI, advanced software, robotics, and full-stack manufacturing, we help aerospace and ... The Role We are looking for a Senior Network Engineer to own the design, architecture, and ...

You'll work directly with the CEO and our infrastructure engineering team on the networking layer ... AI-assisted workflows where appropriate 4. Documentation Maintain accurate network diagrams and ...

$76K - $105K/yr

... SR. NETWORK ENGINEER The Network Engineering team designs and operates the mission critical ... You will lead the charge on designing new architectures, innovating on AI-native operations and ...

$76K - $105K/yr

Establish foundation in AI/ML skills and contribute to AI/ML operationalization and modernization ... The The Senior Network Engineer supports Secretary of the Air Force, Office of Competition (SAF/OC ...

Leverage AI tools (e.g., GitHub Copilot, ChatGPT, Claude) to accelerate analysis, documentation, or ... IT/Engineering field combined with one year of work experience supporting local area network ...

$65 - $75/hr

Added Aug 20, 2026 Senior Network Engineer (46337) St. Louis, MO | Full-time For additional ... Please contact AI.Questions@lrs.com with any questions. #J-18808-Ljbffr

Leverage AI tools (e.g., GitHub Copilot, ChatGPT, Claude) to accelerate analysis, documentation, or ... IT/Engineering field combined with one year of work experience supporting local area network ...

$76K - $105K/yr

Apply an AI-native approach to network operations, using agentic workflows for audit, drift ... Experience -- 7+ years in network engineering, including 3+ in cloud-native environments. You have ...

New

The Network Engineer II will define and assess the organization's security architecture and ... Aamazing IT offers IT solutions, Salesforce consulting, AI, data analytics, and staffing services.

... AI can be built and deployed using our SDK, Valhalla, and operated via our browser, Surf. Imagine ... As a Network Engineer, you'll be the one ensuring the infrastructure beneath our platform can be ...

Our Sales Engineering team empowers customers and partners to solve complex challenges with ... network infrastructure Architecture, design and solutions consulting, designing large-scale AI ...

next page

Showing results 1-20

Ai Network Engineer information

See Kentucky salary details

$26.9K

$94.7K

$137.2K

How much do ai network engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for ai network engineer in Kentucky is $94,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $115,900.00 per year, depending on experience, location, and employer.

What is an AI network engineer?

AI Network Engineers are professionals who design, implement, and maintain network infrastructures optimized for artificial intelligence (AI) applications. They ensure that networks can handle the high data throughput and low latency requirements of AI workloads, such as machine learning model training and inference. Their responsibilities may include integrating AI-driven network management tools, optimizing data flow for distributed AI systems, and ensuring data security and reliability. AI Network Engineers often collaborate with data scientists, AI researchers, and IT teams to deploy scalable and efficient AI solutions. As AI adoption grows, their role becomes increasingly important in supporting advanced technologies across industries.

What are the key skills and qualifications needed to thrive as an AI network engineer?

To thrive as an AI Network Engineer, you need expertise in computer networking, AI/ML concepts, and a strong background in computer science or a related field, often supported by a relevant degree or certifications like CCNP or AWS Certified Solutions Architect. Familiarity with network simulation tools, AI frameworks (such as TensorFlow or PyTorch), and network automation platforms is typically required. Problem-solving, analytical thinking, and effective communication are essential soft skills in this role. These skills are crucial for designing, deploying, and optimizing intelligent network systems that support scalable and efficient AI-driven solutions.

What are some common challenges AI network engineers face when deploying AI models at scale within enterprise networks?

AI Network Engineers often encounter challenges related to ensuring low-latency data transfer, handling large volumes of real-time data, and maintaining high security standards during AI model deployment. Integrating AI workloads with existing network infrastructure can require careful optimization of bandwidth and compute resources to prevent bottlenecks. Additionally, collaborating with data scientists and IT teams is essential for troubleshooting and refining deployment processes while keeping the network stable and scalable.
Infographic showing various Ai Network Engineer job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, and 6% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $94,704 per year, or $45.5 per hour.

Data, AI & Network Integration Engineer

On-site

FoxFarm Soil & Fertilizer Company
Manufacturing • 11 - 50 employees

$84K - $101K/yr

Other

Posted 22 days ago


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

#J-18808-Ljbffr