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Salaried Rag Jobs in Kentucky (NOW HIRING)

Infosys Limited

$94 - $122/hr

  • Medical

  • Retirement

... Salary max 121827 The Infosys Financial Services unit is a global leader in driving digital ... Experience in Agenti AI, AI Frameworks and RAG * Experience in Cloud Event Driven Architecture

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Capital One National Association

$269 - $307/hr

At least 3 years of hands-on experience with LLM systems, including RAG/embeddings, prompt/plan ... Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be ...

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Booz Allen Hamilton

$78 - $176/hr

  • Medical

  • Life

  • Retirement

  • PTO

... API use, RAG workflows, or automation assistants, and using AI‑assisted engineering tools ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

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BlackCube Labs

$165 - $180/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Working knowledge of LLMs, RAG, AI agents, AI workflows, prompt orchestration, evaluation ... The salary range for this position is $165,000 to $180,000 plus bonus. Starting pay is dependent on ...

New

Neura Market

$170 - $269/hr

  • Medical

  • Retirement

  • PTO

... RAG), and generative AI platforms. * Ecosystem & Sell-With Expertise: Demonstrated experience ... The typical starting salary range for this role is: $170,000--$268,800 USD The typical starting ...

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NVIDIA Corporation

$184 - $357/hr

... RAG) and fine-tuning LLMs on enterprise data.* Prior development of a large software project using ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

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Neura Market

$190 - $285/hr

Experience with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) is a ... The pay range(s) for this role is listed below and represents the expected salary range for non ...

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Salaried Rag information

What is the difference between Salaried Rag vs Salaried Technician?

AspectSalaried RagSalaried Technician
Required CredentialsHigh school diploma or equivalent, specialized trainingHigh school diploma, technical certification or associate degree
Work EnvironmentOffice or field-based, depending on industryIndustrial, manufacturing, or technical settings
Employer & Industry UsageMedia, printing, or creative industriesManufacturing, maintenance, or technical services
Common Search & ComparisonYesYes

The comparison shows that Salaried Rag and Salaried Technician share similar credential requirements and are used in related industries. Salaried Rag typically refers to roles in media or creative fields, while Salaried Technician is common in technical and industrial sectors. Both roles involve specialized skills and are salaried positions, but their work environments and industry applications differ.

What are the most commonly searched types of Rag jobs in Kentucky?

The most popular types of Rag jobs in Kentucky are:

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For Salaried Rag jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Salaried Rag jobs in Kentucky look for?

The top searched job categories for Salaried Rag jobs in Kentucky are:

What cities in Kentucky are hiring for Salaried Rag jobs?

Cities in Kentucky with the most Salaried Rag job openings:

Salaried Rag jobs near you

Agentic AI Engineer

Cognizant Technology Solutions

Louisville, KY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants

Job description

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About the Role
As an Agentic AI Engineer, you will make an impact by designing, developing, and deploying advanced AI agents and agentic systems that leverage Large Language Models (LLMs) to solve complex business challenges. You will be a valued member of our AI Engineering team and work collaboratively with data scientists, machine learning engineers, product managers, architects, and business stakeholders to deliver innovative AI-driven solutions.
Candidate must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
In This Role, You Will:
  • Design and develop autonomous AI agents capable of reasoning, planning, and executing complex multi-step tasks using leading LLM technologies.
  • Build and orchestrate agentic workflows and multi-agent systems using LangGraph, enabling stateful execution, memory management, and agent collaboration.
  • Develop Retrieval-Augmented Generation (RAG), tool-calling, and function-calling solutions using LangChain and related frameworks.
  • Architect and integrate AI agents with enterprise systems, APIs, databases, and vector stores such as Pinecone, Chroma, Weaviate, and FAISS.
  • Implement memory frameworks including short-term, long-term, semantic, and episodic memory for intelligent agent behavior.
  • Design prompt engineering strategies and optimize LLM performance for accuracy, reliability, scalability, and cost efficiency.
  • Develop guardrails, validation layers, and human-in-the-loop workflows to ensure safe and reliable AI solutions.
  • Create and maintain evaluation frameworks to assess agent effectiveness, hallucination rates, and task completion metrics.
  • Deploy AI applications to production environments using AWS, Azure, or GCP, leveraging Docker, Kubernetes, and CI/CD pipelines.
  • Monitor, troubleshoot, and optimize production AI systems for performance, latency, scalability, and token utilization.
  • Collaborate with cross-functional teams to translate business requirements into innovative AI-powered solutions.
  • Stay current with emerging developments in agentic AI, LLMs, frameworks, and industry best practices.
Work Model
This is an onsite position based in Louisville, Kentucky, requiring attendance at the client or Cognizant office 5 days per week. Candidates should be comfortable working in a collaborative, office-based environment and partnering closely with cross-functional teams and stakeholders.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What You Need to Have to Be Considered
  • 8+ years of experience in software engineering, AI engineering, machine learning, or related technology roles.
  • Strong experience building solutions using Large Language Models (LLMs), Generative AI, and Agentic AI frameworks.
  • Hands-on expertise with LangChain and LangGraph for developing agentic workflows and multi-agent solutions.
  • Strong programming experience in Python and modern software development practices.
  • Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures.
  • Experience integrating AI solutions with APIs, databases, enterprise applications, and vector databases.
  • Experience deploying applications in cloud environments such as AWS, Azure, or GCP.
  • Familiarity with Docker, Kubernetes, CI/CD pipelines, and production-grade application deployment.
  • Strong analytical, problem-solving, and collaboration skills.
These Will Help You Stand Out
  • Experience with multi-agent architectures and agent-to-agent communication frameworks.
  • Experience implementing memory management strategies for AI agents.
  • Knowledge of Responsible AI, AI governance, and AI safety best practices.
  • Experience evaluating and optimizing LLM outputs, token consumption, latency, and overall cost.
  • Familiarity with MLOps and AI application monitoring frameworks.
  • Experience working with open-source LLMs and emerging agentic AI technologies.
Salary and Other Compensation
The annual salary for this position is between depends 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.
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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