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Agentic Ai Engineer Jobs in Kentucky (NOW HIRING)

Jobzhr

$160 - $210/hr

Act as the technical authority for the Agentic AI roadmap, steering engineering pods from initial research prototyping through to production scale. * Advanced Agentic Architecture: Design, build, and ...

New

iManage

$130 - $170/hr

Being a Senior AI Engineer atiManageMeans... You are passionate about building and deploying AI ... Experience with agentic engineering, including agent harness and agent memory, and orchestration ...

New

Safelite Group

$90 - $130/hr

Work daily with engineering to bring client requirements into the build, answering questions ... Familiarity with AI/agentic or conversational products is a strong plus; comfort with tools like ...

New

Bluelight Consulting

As an Agentic AI Solutions Architect, you will sit at the intersection of client strategy, data engineering, and applied AI. You will own the technical vision for how our clients use LLMs and agentic ...

Ztek Consulting

AI Product Owner

Louisville, KY · On-site

Product Strategy & Vision Define and own the product vision, strategy, and roadmap for agentic AI ... engineering teams Define agent behaviors, decision boundaries, and success criteria (task ...

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Agentic Ai Engineer information

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$33.9K

$88.4K

$119.4K

How much do agentic ai engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for agentic ai engineer in Kentucky is $88,375.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $101,200.00 per year, depending on experience, location, and employer.

Is agentic AI engineer a good career?

Agentic AI engineering is a growing field focused on developing autonomous AI systems, requiring skills in machine learning, programming, and systems design. It offers opportunities in research, development, and deployment across various industries, with demand expected to increase as AI technology advances. The role typically requires a strong technical background and continuous learning to stay current with evolving tools and techniques.

What does an Agentic AI Engineer do?

An Agentic AI Engineer designs and develops autonomous AI systems capable of making decisions and taking actions independently. They work with machine learning models, reinforcement learning, and robotics, often requiring skills in programming, data analysis, and system integration to create intelligent agents that can operate in dynamic environments.

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

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

Agentic Ai Engineer jobs near you
Infographic showing various Agentic Ai Engineer job openings in Kentucky as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 66% In-person, and 34% Remote job distribution, with an average salary of $88,375 per year, or $42.5 per hour.

Agentic AI Engineer

Cognizant Technology Solutions

Louisville, KY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Cognizant rating

7.2

Company rating: 7.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

53rd 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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