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Manager Prompt Engineering Jobs in Kentucky (NOW HIRING)

Patientco

Systems Engineer I

Louisville, KY · On-site +1

Work with the Systems Support Manager on new projects that arise from business needs ... Ability toimplement prompt engineering and AI automation to streamline internal workflows

Cisco

Software Engineer, Backend

Frankfort, KY · On-site

$155K - $222K/yr

Database Management: Experience designing and querying relational databases using SQL (PostgreSQL ... Able to comment on the difference between 'prompt engineering', 'context engineering', and 'agentic ...

Blue Origin LLC

Software Engineer III

Southgate, KY · On-site

$164.65 - $230.51/hr

Implement and manage APIs, ensuring flawless integration and efficient performance across systems ... Experience building GenAI solutions utilizing prompt engineering, retrieval‑augmented generation ...

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Manager Prompt Engineering information

What is a manager of prompt engineering?

A Manager of Prompt Engineering is a professional who leads teams focused on designing, developing, and optimizing prompts for artificial intelligence models, particularly large language models (LLMs) like ChatGPT. They oversee the creation of effective prompts to ensure AI systems provide accurate, relevant, and safe responses. This role involves collaborating with data scientists, engineers, and product managers, as well as setting best practices for prompt creation and evaluation. Additionally, they may be responsible for training team members and implementing strategies to improve prompt performance over time.

What are the key skills and qualifications needed to thrive as a manager of prompt engineering?

To thrive as a Manager of Prompt Engineering, you need expertise in natural language processing, AI model deployment, and prompt design, typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), prompt engineering platforms, and version control systems is expected, along with experience managing technical teams. Strong leadership, problem-solving, and communication skills distinguish top performers in this role. These abilities are crucial for ensuring effective AI solutions, driving team productivity, and aligning prompt engineering initiatives with organizational goals.

How does a manager of prompt engineering typically collaborate with cross-functional teams to optimize AI outputs?

As a Manager of Prompt Engineering, you will frequently collaborate with data scientists, software engineers, product managers, and UX designers to refine and optimize prompt strategies for AI models. This involves translating business requirements into effective prompt templates, conducting prompt experiments, and communicating findings to stakeholders. Regular cross-functional meetings and feedback sessions are common, ensuring that the AI outputs align with both technical capabilities and user needs. Building strong relationships across teams is essential for successfully iterating on prompt designs and deploying scalable solutions.
What are the most commonly searched types of Prompt Engineering jobs in Kentucky? The most popular types of Prompt Engineering jobs in Kentucky are:
What are popular job titles related to Manager Prompt Engineering jobs in Kentucky? For Manager Prompt Engineering jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Manager Prompt Engineering jobs in Kentucky look for? The top searched job categories for Manager Prompt Engineering jobs in Kentucky are:
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Manager Prompt Engineering jobs near you

Agentic AI Engineer

Cognizant Technology Solutions

Louisville, KY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 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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