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Full Time Nlp Engineer Jobs in Kentucky (NOW HIRING)

Humana

Lead Software Engineer - AI

Louisville, KY · On-site

Exposure to clinical NLP, medical coding, or EHR/FHIR data standards * Experience operating AI ... full time (40 hours per week) employment at the time of posting. The pay range may be higher or ...

Humana

Lead Software Engineer - AI

Louisville, KY · On-site

Exposure to clinical NLP, medical coding, or EHR/FHIR data standards * Experience operating AI ... full time (40 hours per week) employment at the time of posting. The pay range may be higher or ...

Humana

Lead Software Engineer - AI

Louisville, KY · On-site

Exposure to clinical NLP, medical coding, or EHR/FHIR data standards * Experience operating AI ... full time (40 hours per week) employment at the time of posting. The pay range may be higher or ...

All JobsNlp Engineer JobsFull Time Nlp Engineer JobsFull Time Nlp Engineer Jobs in Kentucky

Full Time Nlp Engineer information

What is a full time NLP engineer?

A Full Time NLP (Natural Language Processing) Engineer is a technology professional who designs, builds, and maintains systems that allow computers to understand, interpret, and generate human language. This role typically involves working with large datasets, developing machine learning models, and applying linguistic algorithms to solve problems such as text classification, sentiment analysis, language translation, and chatbot development. NLP Engineers collaborate with data scientists, software engineers, and product teams to integrate language technologies into various applications. Being employed full time means they are dedicated to this role as their primary occupation, usually working a standard workweek for a single company or organization.

What are some common challenges full time NLP engineers face when deploying language models in production environments?

Full Time NLP Engineers often encounter challenges such as ensuring model scalability, managing latency for real-time applications, and maintaining data privacy. Additionally, handling diverse and noisy real-world data can require constant model updates and monitoring for bias or drift. Collaborating closely with data engineers, product managers, and DevOps teams is essential to streamline deployment, monitor system health, and address issues as they arise.

What are the key skills and qualifications needed to thrive as a full time NLP engineer, and why are they important?

To thrive as a Full Time NLP Engineer, you need expertise in natural language processing, machine learning, programming (Python), and a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, NLTK, spaCy, and experience with cloud platforms are commonly required, along with relevant certifications. Strong analytical thinking, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for building robust NLP solutions, collaborating cross-functionally, and staying current in a rapidly evolving field.

What is the difference between Full Time Nlp Engineer vs Data Scientist?

AspectFull Time Nlp EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, NLP, or related fields; experience with NLP toolsBachelor's or Master's in Data Science, Statistics, or related fields; programming skills
Work EnvironmentTech companies, research labs, AI startups focusing on NLP projectsVarious industries including finance, healthcare, marketing, analyzing data sets
Employer & Industry UsagePrimarily in AI, NLP, and machine learning teamsAcross industries for data analysis, predictive modeling, and insights

Full Time Nlp Engineers focus specifically on developing NLP models and algorithms, while Data Scientists work broadly with data analysis and modeling across various domains. Both roles require programming skills and a strong understanding of data, but Nlp Engineers specialize in language processing tasks.

What are popular job titles related to Full Time Nlp Engineer jobs in Kentucky?

For Full Time Nlp Engineer jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Full Time Nlp Engineer jobs in Kentucky look for?

The top searched job categories for Full Time Nlp Engineer jobs in Kentucky are:

Full Time Nlp Engineer jobs near you
Infographic showing various Full Time Nlp Engineer job openings in Kentucky as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

VPP-97 - GenAI Solutions Architect US - Remote (Northern)

Vekend, Llc

Eastern, KY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Key responsibilities

  • Design, prototype, and evangelize innovative AI architectures leveraging Large Language Models, Retrieval-Augmented Generation, and Agentic AI frameworks.

  • Work directly with business stakeholders to identify opportunities, build proof-of-concepts, secure funding, and transition solutions to engineering teams for deployment.

  • Build successful AI proof-of-concepts and advance them to funded initiatives and production implementations.

Job description

We are seeking a highly technical GenAI Solutions Architect to join a growing AI Center of Excellence (CoE) focused on delivering enterprise-scale Generative AI solutions.

Department:

Project Location(s):

US - Remote

Job Type:

Employee

Education:

Bachelor's in related area

Who You’ll Work With

We are seeking a highly technical GenAI Solutions Architect to join a growing AI Center of Excellence (CoE) focused on delivering enterprise-scale Generative AI solutions. The role is fully remote, with quarterly travel to Chicago.

What You’ll Do

This individual will be responsible for designing, prototyping, and evangelizing innovative AI architectures that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and advanced machine learning technologies.

The ideal candidate has a strong foundation in Machine Learning, Natural Language Processing (NLP), and/or Computer Vision, and has evolved into a solution architecture role where they work directly with business stakeholders to identify opportunities, build proof-of-concepts (POCs), secure funding, and transition successful solutions to engineering teams for production deployment.

What You’ll Bring
  • 10+ years of experience in Software Engineering, Machine Learning, AI, or Solution Architecture roles.
  • Strong technical background in Machine Learning, NLP, Computer Vision, or related AI disciplines.
  • Hands-on experience architecting Generative AI solutions in enterprise environments.
  • Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures.
  • Experience with Agentic AI frameworks and autonomous workflow orchestration.
  • Deep understanding of Large Language Models (LLMs) and prompt engineering methodologies.
  • Experience working within an AI Center of Excellence (CoE) or similar innovation-focused organization.
  • Proven track record of building successful AI POCs and advancing them to funded initiatives and production implementations.
  • Excellent communication, presentation, and stakeholder management skills.
  • Experience with several of the following technologies: Large Language Models (OpenAI, Claude, Gemini, Llama, etc), RAG Architecture, Agentic AI Frameworks, Vector Databases (Pinecone, Weaviate, Chroma, FAISS), Google Vertex AI, AWS SageMaker, Hugging Face, LangChain, LangGraph, LlamaIndex, Python, Machine Learning & Deep Learning Frameworks, Cloud Platforms (AWS, GCP, Azure), API Design & Integration
Nice-to-Haves
  • Experience leading enterprise AI transformation initiatives.
  • Experience evaluating and selecting GenAI technologies for large organizations.
  • Background working across multiple AI domains including NLP, Computer Vision, and Predictive Analytics.
  • Experience estimating ROI and business value for AI investments.
  • Experience presenting AI strategy and architecture recommendations to executive leadership.
What Makes Us Great Place To Work

Vekend is a people-first organization focused on developing thoughtful products and services that create meaningful impact for our customers and communities. We are committed to fostering a collaborative, respectful, and inclusive work environment where employees are empowered to take ownership of their work, contribute ideas, and grow professionally. We strive to support flexibility and work-life balance while maintaining high standards of performance and accountability.

Benefits and Wellbeing

For all locations, the good-faith, reasonable annualized full-time compensation for this role will be determined based on competitive market data and may vary depending on geographic location, job-related knowledge, skills, experience, education, and other business considerations. Specific compensation details will be discussed during the interview process.,Vekend offers a comprehensive benefits and wellness package designed to support employees’ overall well-being, financial security, and professional growth. Eligibility and coverage are subject to the terms of the applicable benefit plans and company policies. Eligible employees have access to medical, dental, and vision insurance with company contributions toward premiums, a 401(k) retirement plan with company matching, and Paid Time Off that begins accruing on the first day of employment. We also support flexible work arrangements and opportunities for professional growth. Benefits eligibility, coverage, and company contributions are subject to the terms of the applicable plan documents and may be modified at the company’s discretion.

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