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Ai Automation Engineer Jobs in Kentucky (NOW HIRING)

Avalara, Inc.

$126 - $244/hr

This AI Automation Engineer will: * Improve operational efficiency and process quality by engineering resilient AI automation solutions and governed platform standards * Accelerate business ...

New

Csat Solutions

$85 - $110/hr

We are currently seeking qualified candidates to fill the role of a Automation Engineer for AI server repair. Role and Responsibilities * Support the design, integration, installation, commissioning ...

New

Data Innovations LLC

$119 - $141/hr

Design and implement AI-focused test automation framework (e.g., self-healing test scripts, AI ... Proficiency in at least one programming language commonly used for test automation (e.g., Java ...

New

Unió Digital

$100 - $170/hr

Pair with our Senior Developer for technical builds## What we're looking for* 3+ years consulting or solutions-architect role with AI/automation focus* Strong client-facing communication; comfortable ...

New

Expedient

$90 - $130/hr

Automation Engineering is a new team within Information Systems, chartered to find the manual work ... That said, we fully embrace AI-assisted development. We expect this person to be fluent with tools ...

New

PINNACLE GROUP (Pinnacle Technical Resources)

$120 - $160/hr

IT Sr Automation Engineer IT | QA Test-Software Boston , Massachusetts Contract Aug 12, 2026 ... AI-generated information is one factor considered in our hiring process. Final employment decisions ...

New

Mirazon

Senior AI Solutions Consultant

Louisville, KY · On-site

$80 - $120/hr

We are looking for a Senior AI Automation Engineer who thrives at the intersection of business process improvement, automation, and artificial intelligence. This role is designed for an experienced ...

Atlas Air

Senior Automation Engineer

Erlanger, KY · On-site

$115K - $153K/yr

Incorporate AI-based automation where it meaningfully improves outcomes * Own reliability - design ... Mentor junior engineers and raise the technical bar across the team * Clearly articulate solution ...

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All JobsAi Automation Engineer JobsAi Automation Engineer Jobs in Kentucky

Ai Automation Engineer information

See Kentucky salary details

$32.1K

$93K

$141.6K

How much do ai automation engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ai automation engineer in Kentucky is $93,042.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,100.00 and $107,300.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

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

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

Is AI automation a high paying job?

AI automation engineers typically earn higher-than-average salaries due to their specialized skills in machine learning, programming, and data analysis. Salaries vary based on experience, location, and industry, but the role is generally considered well-compensated within the tech field.

Is AI automation engineer in demand?

AI automation engineers are in high demand due to the increasing adoption of artificial intelligence and automation across industries. They are needed to develop, implement, and maintain AI-driven systems, often requiring skills in machine learning, programming, and data analysis. Job opportunities are growing as companies seek to improve efficiency and innovation through automation technologies.

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

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

What job categories do people searching Ai Automation Engineer jobs in Kentucky look for?

The top searched job categories for Ai Automation Engineer jobs in Kentucky are:

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

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

Ai Automation Engineer jobs near you
Infographic showing various Ai Automation Engineer job openings in Kentucky as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $93,042 per year, or $44.7 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Bowling Green, KY • On-site

Other

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply