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Artificial Intelligence Automation Engineer Jobs in Kentucky

About the Role: We're looking for an Artificial Intelligence Engineer to help design, develop, and ... Familiarity with Git, MLOps, or workflow automation tools * Experience with Pandas, Scikit-Learn ...

$84K - $101K/yr

Develop and deploy intelligent automation workflows integrating AI capabilities with RPA * Build ... Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or related field ...

Provide engineering support for medium- to large-scale automation and capital projects, including ... Evaluate emerging automation technologies, robotics, artificial intelligence, machine vision, and ...

$86K - $198K/yr

Automation Engineer The Opportunity: We are seeking an experienced automation engineer for the ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

New

We are seeking an Artificial Intelligence Engineer to apply machine learning and large language ... The engineer in this seat is accountable both for the automation that gets built and for the ...

The role works closely with engineering, infrastructure, security, and enterprise application teams ... Understanding of artificial intelligence, machine learning, intelligent automation, and emerging ...

$140K - $238K/yr

## Artificial Intelligence EngineerApplylocations: Milpitas, CAtime type: Full timeposted on: Posted 5 ... Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ...

About the Role We are looking for an AI Engineer to join our growing AI team and help build ... automation workflows. The ideal candidate is hands-on, highly curious, and comfortable working ...

$45/hr

Artificial intelligence (AI) Engineer Intern 7,800 $ Important: if an employer asks you to log into ... Knowledge of Python for automation and data processing. * Demonstrated interest or project ...

The IAM Automation Engineer will design, develop, and optimize Azure-based Identity & Access ... MACHINE INTELLIGENCE TECHNOLOGIES LLC is an equal opportunity employer inclusive of female ...

$149K - $170K/yr

FTS has an opportunity for an Artificial Intelligence/Machine Learning Systems Engineer in Chantilly, VA. TheArtificial Intelligence/Machine Learning Systems Engineer willsupport a USG Program Office ...

Role Overview As a SOC Automation Engineer, you will help transform how our Cyber Defenders ... Create automation capabilities across alert triage, threat intelligence, investigation, enrichment ...

$75K - $99K/yr

Lead Artificial Intelligence/Machine Learning Engineer Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or ...

$99K - $225K/yr

UAS Simulation and Test Automation Engineer The Opportunity: Conduct the simulation, testing, and ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

New

$14.25 - $18.50/hr

Evaluate machine learning processes to enhance automation. * Collect and analyze large amounts of ... Engineer is highly desired. * This is an on-site position which will require duty on-site in ...

$84K - $101K/yr

Artificial Intelligence (Generative AI) Engineer San Francisco Bay Area (on-site) or USA (remote) Job Type Full Time About the Company Beehive AI provides a generative AI platform designed ...

Artificial Intelligence: Prompt engineering, LLM-based applications, AI-assisted development tools ... Automation Engineer Compensation and Benefits at Ericsson Your Pay The salary range for this ...

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Showing results 1-20

Artificial Intelligence Automation Engineer information

What is the difference between Artificial Intelligence Automation Engineer vs Data Scientist?

AspectArtificial Intelligence Automation EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related; certifications in AI/MLBachelor's/Master's in CS, Statistics, or Data Science; certifications in data analysis
Work EnvironmentDevelops AI automation solutions, integrates AI into systemsAnalyzes data, builds predictive models, interprets data insights
Employer & Industry UsageTech companies, automation firms, AI solution providersFinance, healthcare, marketing, research organizations

While both roles involve working with AI and data, the Artificial Intelligence Automation Engineer focuses on creating automated AI systems and integrating AI into workflows, whereas the Data Scientist primarily analyzes data to extract insights and build models. Their skills overlap but serve different core functions within AI and data-driven projects.

Is an artificial intelligence automation engineer in demand?

Artificial intelligence automation engineers are in high demand due to the increasing adoption of AI and automation technologies across industries. They typically require skills in machine learning, programming, and data analysis, and often find opportunities in tech companies, finance, healthcare, and manufacturing sectors.

What does an Artificial Intelligence Automation Engineer do?

An Artificial Intelligence Automation Engineer designs and develops AI-driven systems to automate processes and improve efficiency. They work with machine learning models, programming languages like Python, and tools such as TensorFlow or PyTorch to create intelligent automation solutions. The role often requires knowledge of data analysis, software engineering, and AI algorithms to implement scalable and effective automation systems.

Will AI take artificial intelligence automation engineer jobs?

Artificial Intelligence Automation Engineers design and implement AI-driven automation systems, and their roles are less likely to be replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing engineers to focus on complex problem-solving and system development. Staying current with AI and automation tools is essential for job security in this field.

What cities in Kentucky are hiring for Artificial Intelligence Automation Engineer jobs?

Cities in Kentucky with the most Artificial Intelligence Automation Engineer job openings:

Artificial Intelligence Engineer

On-site

Prosperity Life Group
Insurance Services • 51 - 200 employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Key responsibilities

  • Design, develop, and deploy machine learning models that support business decision-making and operational efficiency

  • Build predictive analytics, recommendation engines, classification models, and other AI-driven solutions

  • Support the development and implementation of generative AI, natural language processing, and conversational AI capabilities


Job description

About Us:

We’re a fast-growing, privately held insurance company on a path to becoming a leading U.S. retail platform. We believe every client and customer relationship holds the potential to become something greater—and the same is true for our people. As we grow, we’re redefining how great talent connects with meaningful work, enabling our ambitious strategy while building a culture of high performance, creativity, and partnership. If you're curious about how artificial intelligence can transform the way life insurance and annuity companies serve customers, support advisors, and operate more efficiently, then this role offers the opportunity to build innovative solutions that deliver meaningful business impact while accelerating your growth as an AI professional.

About the Role:

We’re looking for an Artificial Intelligence Engineer to help design, develop, and deploy AI-driven solutions that support our life insurance, annuity, retail, and product business lines. In this role, you will contribute to building intelligent tools, machine learning models, and automation capabilities that enhance operational efficiency, improve customer and advisor experiences, and advance the organization’s digital transformation efforts.

The ideal candidate combines technical AI and machine learning expertise with a strong analytical mindset and a passion for solving business challenges. You'll work closely with partners across Product, Retail, Operations, Finance, and Technology to translate business opportunities into scalable AI solutions.

What You’ll Do:
  • Design, develop, and deploy machine learning models that support business decision-making and operational efficiency
  • Build predictive analytics, recommendation engines, classification models, and other AI-driven solutions
  • Enhance and optimize existing models to improve performance, reliability, and business impact
  • Support the development and implementation of generative AI, natural language processing, and conversational AI capabilities
  • Identify opportunities to automate workflows and enhance employee, advisor, and customer experiences
  • Evaluate emerging AI technologies and recommend practical business applications
  • Prepare, clean, and analyze structured and unstructured datasets for machine learning applications
  • Develop features, datasets, and analytical approaches that improve model performance
  • Leverage data insights to support business objectives and strategic initiatives
Model Governance & Performance Monitoring
  • Monitor model performance, accuracy, explainability, and drift across deployed solutions
  • Support the ongoing improvement and optimization of AI models through testing and validation
  • Contribute to responsible AI practices and model governance standards
Cross-Functional Collaboration
  • Partner with business stakeholders to understand challenges and translate requirements into technical solutions
  • Communicate technical concepts and analytical findings to both technical and non-technical audiences
  • Support AI initiatives across Product, Retail, Operations, Finance, and Technology teams
What You’ll Bring:Required
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field
  • 1-5 years of experience in artificial intelligence, machine learning, data science, or applied analytics
  • Experience with Python, SQL, and common machine learning frameworks
  • Strong analytical and problem-solving capabilities
  • Ability to communicate technical concepts clearly and effectively
  • Experience working collaboratively in cross-functional environments
Preferred
  • Understanding of life insurance and annuity products and distribution models
  • Experience with NLP, large language models, and generative AI technologies
  • Exposure to cloud platforms such as AWS, Azure, or GCP
  • Familiarity with Git, MLOps, or workflow automation tools
  • Experience with Pandas, Scikit-Learn, TensorFlow, PyTorch, or similar technologies
  • Databricks, Snowflake, and modern data platforms
  • Experience with responsible AI and enterprise AI governance frameworks
Core Competencies:
  • Machine Learning & AI Application: Applies machine learning, generative AI, and data science techniques to solve business problems and deliver measurable outcomes
  • Analytical Problem Solving: Leverages data, critical thinking, and structured analysis to identify opportunities and develop effective solutions
  • Technical Curiosity & Continuous Learning: Demonstrates a strong desire to learn emerging technologies and adapt to the rapidly evolving AI landscape
  • Business Collaboration & Communication: Translates business needs into technical solutions while effectively communicating complex concepts to diverse audiences
  • Innovation & Intelligent Automation: Identifies opportunities to streamline processes and improve experiences through AI-driven innovation
  • Adaptability & Accountability: Thrives in a dynamic environment, embraces change, and follows through on commitments with a high degree of ownership
What We Offer:
  • A collaborative, inclusive environment that values authenticity, accountability, and partnership
  • The opportunity to join the company at an exciting stage of growth, where colleagues are empowered to build what’s next
  • A variable compensation package with a base range of $120K-$135K
  • A competitive benefits package including comprehensive medical, dental, and vision coverage; an HSA and 401(k) company match; paid time off; and employer-paid life and disability insurance

At Prosperity, we are committed to equal employment opportunity and encourage people from all backgrounds to apply. We make hiring decisions based on merit and do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, disability, or any other protected status.

We strive for a meaningful interview experience for all candidates. If you need an adjustment or accommodation due to a disability or medical condition during the hiring process, please let your recruiter know.

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