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Ai Integration Engineer Jobs in Kentucky (NOW HIRING)

$80 - $120/hr

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 ...

$134 - $200/hr

By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we're ... Harvey is seeking an Integrations Engineer, Enterprise Systems to build and maintain the ...

$106 - $160/hr

Leverage AI-driven workflows and modern technologies (Glean, Cursor etc.) to continually uplevel ... engineer, integrations engineer, solution architect or other customer facing technical roles.

$120 - $180/hr

By combining our expertise across connectivity, AI, security and more, we'll map a new way forward ... Role Summary As a Systems Integration Engineer, you will play a key role in integrating and ...

$110 - $170/hr

We are seeking an experienced Senior Systems Integration Engineer to support the administration ... We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine ...

$145 - $218/hr

Screening & Integration Engineer, Watch Software Cupertino, California, United States Software and ... You will be expected to use large language models and other AI tools to quickly and efficiently ...

$68 - $103/hr

Familiarity with AI tools, scientific programming or scripting (e.g., Python) for data analysis is ... Integration Engineer 1 role based in the United States of America is: $68,400 - $102,600. Should ...

$110 - $160/hr

About the Role As a Senior Integration Engineer, you will own how clinical data and AI agents cross the boundary of Innovaccer's on-premise platform. On the clinical side, that means inbound HL7 v2 ...

$180 - $240/hr

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at ... As a Senior Robotics & Integration Engineer, you will own the software and hardware platform that ...

$145 - $160/hr

As a modern Integration and Automation Platform (iPaaS), we're on a mission to simplify how ... We are seeking a Senior Data Integrations Engineer - AI with expertise in Enterprise System ...

$202 - $310/hr

## Senior System Integration Engineer - Enterprise TransformationApplyremote type: Hybridlocations ... AI tools, and GM's core business systems through secure, reusable, and scalable integration ...

$160 - $220/hr

About us nEye.ai, a well-funded optical switch startup, is poised to revolutionize the future of ... Role Overview We are seeking a Wafer Bonding Integration Engineer to lead the development ...

$100 - $135/hr

Ryan Companies seeks a highly skilled and experienced Senior Technology System Integration Engineer ... AI processing technologies (UIPath, GoAnywhere, etc.). • Strong expertise in building process ...

$140 - $190/hr

Ai is a mission-focused, AI-powered software and services company based in Minnesota, with ... CrowdVector -- CrowdVector is an integrated solution marketplace and innovation management platform ...

$120 - $180/hr

LLM Engineering Expertise - Deep knowledge of prompt crafting, RAG, LLMs, multi-agent systems, and real-world AI integration. * Hands-On Production Experience - At least 1 year working with LLM-based ...

$150 - $190/hr

REDLattice is seeking an AI Platform Engineer to help build and maintain secure, offline AI ... Integrate LLMs into development and vulnerability research (VR) workflows to improve productivity ...

$150 - $210/hr

Laurel is hiring a remote candidate for Staff AI Corporate Engineer. This is a full time position ... Familiarity with MCP server development and integration patterns for agentic tool‑use.

$150 - $190/hr

Cybersecurity Systems Engineer (ServiceNow/Cloud) w/Active TS Cybersecurity Systems Engineer ... AI Integration & Automation * Apply AI fundamentals to accelerate application development ...

$83 - $165/hr

AI Integration: Leverage AI/ML services and frameworks to integrate intelligent features into product architectures. Ad-Hoc Engineering: Provide expert guidance, troubleshooting, and architectural ...

$110 - $150/hr

As a Integration & Test Engineer on the Starmind team, you'll have ownership over the entire manufacturing line for the hardware that enables advanced on-orbit AI processing and data center workloads.

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Ai Integration Engineer information

See Kentucky salary details

$38.6K

$107.9K

$150.7K

How much do ai integration engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for ai integration engineer in Kentucky is $107,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,300.00 and $121,600.00 per year, depending on experience, location, and employer.

What is an AI integration engineer?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.

What are some common challenges faced by AI integration engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

What are the key skills and qualifications needed to thrive as an AI integration engineer, and why are they important?

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

What is the difference between Ai Integration Engineer vs Data Scientist?

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.

What are popular job titles related to Ai Integration Engineer jobs in Kentucky?

For Ai Integration Engineer jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Ai Integration Engineer jobs?

Cities in Kentucky with the most Ai Integration Engineer job openings:

Infographic showing various Ai Integration Engineer job openings in Kentucky as of August 2026, with employment types broken down into 62% Full Time, 21% Part Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $107,936 per year, or $51.9 per hour.

$80 - $120/hr

Other

Posted 5 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

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