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Remote Operational Technology Engineer Jobs in Kentucky

CoorsTek

AI Deployment Engineer

Lexington, KY · On-site +1

The role is responsible for transforming business and operational needs into secure, supportable ... Salary range is subject to location, as this role can be remote. Roles and Responsibilities

New

Tetra Tech

Senior Civil Engineer

Louisville, KY · On-site +1

The Opportunity Tetra Tech is seeking to add a Senior Civil Engineer to its High-Performance Building Group. This position is remote and/or hybrid-friendly and can be performed from a wide range of ...

Onco360

Telecommunications Engineer II

Louisville, KY · On-site +1

$78K/yr

... m Engineer II is responsible for the design, implementation, optimization, operation, and ... Engineer office and remote work telecom solutions that support a "work from anywhere" model through ...

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Remote Operational Technology Engineer information

What is a remote operational technology engineer?

A Remote Operational Technology (OT) Engineer is a professional who manages, monitors, and maintains industrial control systems and networks from a remote location. They ensure that critical infrastructure systems, such as those in manufacturing, energy, or utilities, operate efficiently and securely. Their responsibilities often include troubleshooting equipment issues, implementing cybersecurity measures, and supporting automation systems. This role is increasingly important as more organizations adopt remote monitoring and control solutions for their OT environments.

What are the key skills and qualifications needed to thrive as a remote operational technology engineer?

To thrive as a Remote Operational Technology Engineer, you need a solid background in industrial control systems (ICS), networking, and cybersecurity, typically backed by an engineering degree or equivalent experience. Familiarity with SCADA, PLC programming, remote monitoring tools, and relevant certifications like CISSP or ISA/IEC 62443 is common. Strong problem-solving, communication, and self-management skills set standout professionals apart, especially when collaborating remotely with diverse teams. These skills are crucial for maintaining secure, reliable, and efficient operations in complex industrial environments while working off-site.

How does a remote operational technology engineer typically collaborate with on-site teams to resolve technical issues?

Remote Operational Technology Engineers often work closely with on-site teams by leveraging digital communication tools such as video conferencing, remote desktop software, and real-time monitoring systems. They provide technical guidance, troubleshoot problems, and help implement solutions without being physically present. Building strong relationships with on-site staff and maintaining clear, timely communication are crucial, as remote engineers rely on accurate feedback and updates to diagnose and address operational technology challenges effectively.

What is the difference between Remote Operational Technology Engineer vs Remote Industrial Automation Technician?

AspectRemote Operational Technology EngineerRemote Industrial Automation Technician
CredentialsBachelor's in Engineering or related field, certifications like Cisco, CompTIATechnical diploma or associate degree, certifications in PLCs or SCADA systems
Work EnvironmentDesign, implement, and maintain OT systems remotely in industrial settingsInstall, troubleshoot, and repair automation equipment remotely or on-site
Industry UsageManufacturing, energy, utilities with focus on system integrationFactories, plants, and facilities managing automation hardware

The Remote Operational Technology Engineer focuses on designing and maintaining OT systems remotely, ensuring system security and integration. In contrast, the Remote Industrial Automation Technician primarily handles troubleshooting and repairing automation hardware remotely or on-site. Both roles require technical certifications and are vital in industrial sectors, but their core responsibilities differ in scope and focus.

What are the most commonly searched types of Operational Technology Engineer jobs in Kentucky?

The most popular types of Operational Technology Engineer jobs in Kentucky are:

What are popular job titles related to Remote Operational Technology Engineer jobs in Kentucky?

For Remote Operational Technology Engineer jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Remote Operational Technology Engineer jobs in Kentucky look for?

The top searched job categories for Remote Operational Technology Engineer jobs in Kentucky are:

What cities in Kentucky are hiring for Remote Operational Technology Engineer jobs?

Cities in Kentucky with the most Remote Operational Technology Engineer job openings:

Remote Operational Technology Engineer jobs near you
Infographic showing various Remote Operational Technology Engineer job openings in Kentucky as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

LLM Engineer (Remote)

Cognizant Technology Solutions

Louisville, KY • On-site, Remote

$141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants

Job description

LLM Engineer
About the role
As LLM Engineer, you will make an impact by designing, building, optimizing, and deploying Large Language Model (LLM) and Small Language Model (SLM) solutions that power the enterprise Agent Factory. You will be a valued member of the AI Engineering team and work collaboratively with data scientists, platform engineers, product teams, and business stakeholders to deliver scalable, production-ready generative AI capabilities.
In this role, you will:
  • Design, build, fine-tune, deploy, and optimize LLM and SLM solutions for enterprise-scale use cases.
  • Develop and maintain supervised fine-tuning, model adaptation, and evaluation pipelines.
  • Apply advanced model optimization techniques including LoRA, QLoRA, distillation, quantization, and model compression to improve performance and efficiency.
  • Assess commercial, open-source, and internally hosted foundation models based on quality, cost, scalability, and operational requirements.
  • Collaborate with cross-functional teams to support domain-specific AI solutions using approved enterprise datasets and best practices for responsible AI.

Work model:
We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in Louisville, KY. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
*Please note that this position is not eligible for visa transfer or sponsorship now or at any time in the future*
What you need to have to be considered
  • 7+ years of experience in Software Engineering, AI Engineering, Machine Learning Engineering, Platform Engineering, or a related technical discipline.
  • 2+ years of hands-on experience developing and deploying Generative AI, LLM, SLM, or Agentic AI solutions in production environments.
  • Experience building enterprise-grade AI applications utilizing LLMs, Retrieval-Augmented Generation (RAG), prompt engineering, APIs, and cloud or on-premises platforms.
  • Strong understanding of model fine-tuning, adaptation, evaluation frameworks, and AI quality measurement methodologies.
  • Proficiency in machine learning development, model deployment, and MLOps best practices.
  • Experience working with Python and modern AI/ML frameworks and tools.

These will help you stand out
  • Knowledge of AI infrastructure, GPU optimization, and large-scale model serving.
  • Experience implementing model governance, responsible AI, and evaluation frameworks.
  • Familiarity with vector databases, embedding models, and advanced RAG architectures.
  • Experience building enterprise AI platforms, multi-agent systems, or agent orchestration frameworks.

Salary and Other Compensation:
Applications will be accepted until September 17th, 2026.
The annual salary for this position is between $ 81,337 to $141,500 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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