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Generative Ai Engineer Jobs in Kentucky (NOW HIRING)

Marlabs Inc.

$140 - $180/hr

Build and integrate Generative AI capabilities using LLM platforms such as OpenAI, Azure OpenAI, and Anthropic, including prompt engineering and context management. * Develop agentic workflows, tool ...

New

Neara

$150 - $230/hr

Lead Principal AI Engineer Job type: Full Time · Department: CTO · Work type: Remote United ... Bridge classical ML approaches with generative paradigms to build hybrid, resilient systems. LLM ...

1P284 THE CARLYLE GROUP EMPLOYEE CO., LLC

$160 - $180/hr

... generative AI applications across the firm. The role requires deep, hands‑on expertise across modern data engineering and applied AI engineering. The Data & AI Engineer will implement ...

Agupdate

$110 - $160/hr

United Wholesale Mortgage is hiring an AI Engineer III for a 100% on-site position in Pontiac, MI. Duties * Conduct research on cutting-edge techniques in the field of generative AI. * Collaborate ...

Bright MLS, Inc.

$155 - $175/hr

As a Predictive & Agentic AI Engineer , you will bridge the gap between traditional predictive modeling and state-of-the-art generative AI architecture. You will lead the development of advanced data ...

Arctic Wolf

$254 - $382/hr

Production experience with generative AI systems at scale (fine-tuning, prompt engineering ... evaluation, guardrails). * Experience with agentic frameworks and LLM integration patterns (e.g ...

WinTrio LLC

$140 - $200/hr

... Engineer - Senior Software Developer, AI & Machine Learning Client: Federal Government Programs ... Build and support retrieval-augmented generation (RAG) applications, generative AI solutions, and ...

Mission Underwriters

$110 - $180/hr

This role is highly technical and execution-focused, making it ideal for an AI engineer who thrives in a fast‑paced environment and is passionate about applying generative AI, automation, and ...

RLI Corp

$121 - $176/hr

Design, develop, test, and deploy enterprise AI applications using modern software engineering practices. * Build intelligent solutions utilizing Large Language Models (LLMs), Retrieval-Augmented ...

Stefanini, Inc

$84 - $91/hr

Stefanini is looking for an AI Engineer, Dearborn, MI (Onsite) Responsibilities * Understand ... as deep learning, generative AI, natural language processing, image processing, cognitive ...

New

BrightPlan LLC

$125 - $155/hr

This role is ideal for an engineer who enjoys the practical application of generative AI in production environments and works closely with product managers and engineers to translate ideas into ...

Humana

Principal AI Engineer - Agentic AI

Louisville, KY · On-site +1

Become a part of our caring community Join Humana as Principal AI Engineer and lead the hands-on ... Experience with generative AI tooling (e.g.,LangChain,LlamaIndex,PydanticAI, or similar). * Strong ...

Humana

Principal AI Engineer - Agentic AI

Louisville, KY · On-site +1

Become a part of our caring community Join Humana as Principal AI Engineer and lead the hands-on ... Experience with generative AI tooling (e.g.,LangChain,LlamaIndex,PydanticAI, or similar). * Strong ...

Humana

Principal AI Engineer - Agentic AI

Louisville, KY · On-site +1

Become a part of our caring community Join Humana as Principal AI Engineer and lead the hands-on ... Experience with generative AI tooling (e.g.,LangChain,LlamaIndex,PydanticAI, or similar). * Strong ...

Samsara

$127 - $214/hr

As a Sr. AI Engineer II, you'll lead development of production-grade generative AI applications that power Samsara's GTM engine. You'll work at the cutting edge of applied AI: generating high-quality ...

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All JobsGenerative Ai Engineer JobsGenerative Ai Engineer Jobs in Kentucky

Generative Ai Engineer information

See Kentucky salary details

$33K

$100.6K

$166.3K

How much do generative ai engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for generative ai engineer in Kentucky is $100,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,100.00 and $131,600.00 per year, depending on experience, location, and employer.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What are the key skills and qualifications needed to thrive as a generative AI engineer?

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

How do I become a generative AI engineer?

To become a generative AI engineer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of deep learning models such as GANs or transformers. Gaining expertise through relevant coursework, online tutorials, and hands-on projects is essential, along with understanding data preprocessing and model evaluation. Building a portfolio of AI projects and staying updated with the latest research can also improve job prospects in this field.

What is the salary of a generative AI engineer?

The salary of a generative AI engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and machine learning frameworks may earn higher compensation, often including bonuses and stock options.

What are the most commonly searched types of Generative Ai Engineer jobs in Kentucky?

The most popular types of Generative Ai Engineer jobs in Kentucky are:

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

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

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

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

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

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

Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in Kentucky as of August 2026, with employment types broken down into 74% Full Time, 17% Part Time, 7% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $100,631 per year, or $48.4 per hour.

Senior AI Engineer - Bioinformatics

Marlabs Inc.

On-site

$140 - $180/hr

Other

Posted yesterday

New

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Senior AI Engineer – Bioinformatics to join our innovative and dynamic team.

Senior AI Engineer – Bioinformatics | About You

As a Senior AI Engineer – Bioinformatics, you are responsible for building modern, data‑driven web applications that enable scientists and researchers to interact with complex datasets intuitively and efficiently. You enjoy working across the entire stack, from designing backend services and APIs to crafting responsive, elegant frontends. You thrive in environments where you collaborate closely with UX designers, scientists, and engineering partners to turn ideas into high‑impact tools. You value clean architecture, reusable components, automated testing, and strong engineering best practices. You are energized by creating user experiences that simplify scientific workflows and make large-scale data accessible and actionable.

Senior AI Engineer – Bioinformatics | Day-to-Day
  • Design, develop, and support scalable full-stack applications and AI-powered solutions using Python and modern development technologies.
  • Build and integrate Generative AI capabilities using LLM platforms such as OpenAI, Azure OpenAI, and Anthropic, including prompt engineering and context management.
  • Develop agentic workflows, tool integrations, and function-calling capabilities to automate complex business processes and enhance user experiences.
  • Integrate enterprise applications with platforms such as Microsoft 365, SharePoint, Microsoft Graph, ServiceNow, Jira, and Confluence through secure APIs.
  • Implement secure authentication, authorization, and secrets management practices while ensuring compliance with enterprise security standards.
  • Collaborate with cross-functional teams to deliver, deploy, and continuously improve applications through CI/CD pipelines, containerization, and modern DevOps practices.
Senior AI Engineer – Bioinformatics | Skills & Experience
  • 7+ years of experience in full-stack application development within enterprise or technology-driven environments, with strong proficiency in Python.
  • Hands‑on experience building AI and Generative AI solutions, including LLM API integrations, prompt engineering, token management, and conversational AI applications.
  • Strong experience with enterprise integrations, including Microsoft 365, Microsoft Graph, SharePoint, ServiceNow, Jira, Confluence, and REST APIs.
  • Expertise in secure application development, including SSO integrations (SAML, OAuth2, OIDC), API gateways, middleware, and secrets management best practices.
  • Experience with modern DevOps and cloud-native development, including containerization, CI/CD pipelines, deployment automation, and application lifecycle management.
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