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Generative Ai Analyst Jobs in Kentucky (NOW HIRING)

$150 - $190/hr

Data Scientist - NLP / Generative AI Location: Hybrid - Arlington, Virginia Employment Type ... Analyze and interpret model behavior, identify failure modes, and develop mitigation strategies to ...

Posted today

$68 - $136/hr

Artificial Intelligence (AI) Applications Analyst WEC Business Services LLC, a subsidiary of WEC ... Design, develop, and implement AI and generative AI applications, as well as go forward support.

Posted today

$90 - $120/hr

Identify repeatable GTM activities that can be improved through generative AI, workflow automation ... Analyze seller and team workflows to identify unnecessary steps, duplicate work, disconnected tools ...

New

$185.98/hr

Evaluate Generative AI solutions from functional, technical, and risk perspectives. * Develop and implement Generative AI solutions to solve complex business problems and enhance operational ...

New

$115 - $172/hr

Analyze complex business problems within Risk & Compliance in the financial services industry and ... Generative AI Application: Evaluate, propose, and articulate the business value of Generative AI ...

Posted today

$140 - $200/hr

... analytics, anomaly detection, fraud detection, workload forecasting, routing, and optimization. * Build and support retrieval-augmented generation (RAG) applications, generative AI solutions, and ...

Posted today

$155 - $175/hr

Are you an accomplished AI practitioner with a passion for developing cutting-edge analytics, predictive machine learning, and multi-agent generative AI solutions? If you have at least five years of ...

New

$125 - $175/hr

... generative AI offerings for the enterprise.Learn more at: C3 AI We are seeking a dynamic and ... Analyze market trends, customer insights, and competitive intelligence to inform marketing ...

Posted today

$113 - $193/hr

The Principle Event Data Analyst (AI & Advanced Analytics) is responsible for leading AI driven ... Develop and deploy AI driven workflows (including Generative AI use cases) to improve investigative ...

$160 - $180/hr

... analytics, automation, LLMs, agents, and generative AI applications across the firm. The role requires deep, hands‑on expertise across modern data engineering and applied AI engineering. The Data ...

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Generative Ai Analyst information

See Kentucky salary details

$42.6K

$76.9K

$107.3K

How much do generative ai analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for generative ai analyst in Kentucky is $76,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $86,400.00 per year, depending on experience, location, and employer.

What is a generative AI analyst?

A Generative AI Analyst is a professional who specializes in analyzing, designing, and optimizing systems that use generative artificial intelligence models, such as large language models or image generators. Their work involves understanding how these AI models are developed, deployed, and utilized across various applications. They assess data quality, monitor model outputs, evaluate performance, and help improve the effectiveness and ethical use of generative AI technologies. Generative AI Analysts may also provide insights to organizations on best practices, risk management, and innovation opportunities related to AI. Their expertise bridges the gap between data science, AI development, and business strategy.

What are the key skills and qualifications needed to thrive as a generative AI analyst?

To thrive as a Generative AI Analyst, you need a solid background in data science, machine learning, and statistics, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, and experience with large language models or generative adversarial networks (GANs) is typically required. Strong analytical thinking, creativity, and effective communication skills help you interpret complex data and present insights to stakeholders. These skills and qualities are crucial for developing innovative AI solutions, solving business challenges, and driving impactful results.

How does a generative AI analyst typically collaborate with data scientists and engineering teams?

A Generative AI Analyst frequently works alongside data scientists and engineering teams to interpret model outputs, assess data quality, and help translate business objectives into technical requirements. Collaboration usually involves regular meetings to review model performance, troubleshoot issues, and refine algorithms based on real-world feedback. Effective communication and a shared understanding of both AI concepts and business goals are essential, as the analyst often serves as a bridge between technical teams and stakeholders. This collaborative environment fosters continuous learning and innovation, making teamwork a core aspect of the role.

What is the difference between Generative Ai Analyst vs Data Scientist?

AspectGenerative Ai AnalystData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; certifications in AI/MLBachelor's/Master's in CS, Statistics, or related fields; advanced certifications
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Employer & Industry UsageFocus on developing and refining generative AI modelsAnalyze data, build predictive models, derive insights
Common Search & Comparison IntentUnderstanding roles in AI developmentData analysis and modeling skills

While both roles require strong technical skills and knowledge of AI and data analysis, a Generative Ai Analyst specializes in creating and optimizing generative AI models, whereas a Data Scientist focuses on analyzing data to inform business decisions. The roles often overlap but differ in their primary focus and application within organizations.

How much do generative AI analysts make?

Generative AI analysts typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can command higher salaries, often exceeding $150,000.

Is Generative AI a promising career?

Generative AI is a rapidly growing field with increasing demand for specialists such as Generative AI Analysts, who develop and refine AI models like GPT and DALL·E. Careers in this area often require skills in machine learning, programming, and data analysis, and offer opportunities across technology, healthcare, entertainment, and other industries. The field is expected to continue expanding as AI applications become more integrated into various sectors.
Infographic showing various Generative Ai Analyst job openings in Kentucky as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $76,924 per year, or $37 per hour.

Data Scientist - NLP / Generative AI

Doist

On-site

$150 - $190/hr

Other

Medical, Dental, Vision, Retirement

Posted 7 hours ago

Posted today


Job description

Data Scientist – NLP / Generative AI Location: Hybrid - Arlington, Virginia Employment Type: Full-time BizFirst is assisting our client with the hiring of a Data Scientist specializing in natural language processing and generative AI to help the organization move from early experimentation into production-ready AI capabilities. This is a hands‑on research and engineering role where you will own the design and delivery of NLP and GenAI solutions applied directly to the client’s most complex internal workflows. Our client is a mid‑market professional services organization that is actively rethinking how it designs and executes its core business operations through artificial intelligence and automation. The company is building a dedicated AI capability to embed machine learning and generative AI into its most critical internal workflows - from decision support and process automation to real‑time analytics and intelligent document processing.

What will you do

The ideal candidate brings 5-8 years of applied data science experience with a deep specialization in NLP and a working command of modern generative AI techniques. You have built production NLP systems, worked with transformer‑based architectures, and have direct experience with large language models – including fine‑tuning, prompt engineering, and retrieval‑augmented generation (RAG). You are comfortable moving between research and engineering as the work demands.

Responsibilities
  • Design and build NLP and generative AI solutions applied to internal business processes, including document understanding, classification, summarization, and conversational AI.
  • Develop, fine‑tune, and evaluate large language models and transformer‑based architectures for domain‑specific applications.
  • Build and iterate on retrieval‑augmented generation (RAG) systems, embedding pipelines, and vector search infrastructure.
  • Work closely with business and operations stakeholders to scope problems, define evaluation criteria, and validate model outputs against real‑world requirements.
  • Analyze and interpret model behavior, identify failure modes, and develop mitigation strategies to ensure reliable, responsible outputs.
  • Collaborate with ML engineers and platform teams to move experiments into production pipelines.
  • Document experimental methodology, data lineage, and model evaluations to support reproducibility and knowledge sharing.
  • Stay current on developments in NLP research and GenAI tooling, bringing relevant advances into the team’s work quickly.
Requirements

US Citizen or Permanent Resident authorized to work in the United States.

Experience

5-8 years of applied data science experience with a strong focus on natural language processing and text‑based systems.

NLP & GenAI
  • Hands‑on experience with transformer architectures (BERT, GPT, T5, or similar), fine‑tuning workflows, and production deployment of language models.
RAG & Embeddings
  • Direct experience building retrieval‑augmented generation pipelines, vector databases (Pinecone, Weaviate, FAISS, or equivalent), and semantic search systems.
Programming
  • Strong Python skills; proficiency with HuggingFace Transformers, LangChain, or similar GenAI tooling.
Evaluation
  • Experience designing rigorous evaluation frameworks for generative models, including human evaluation, LLM‑as‑judge approaches, and automated benchmarking.
Preferred
  • Experience applying NLP in a professional services, legal, finance, or consulting domain.
  • Familiarity with responsible AI practices, including bias assessment, output auditing, and hallucination mitigation.
  • Background in information extraction, named entity recognition (NER), or document intelligence.
  • Experience with cloud‑based GenAI services (OpenAI API, Anthropic API, AWS Bedrock, Azure OpenAI, or GCP Vertex AI).
  • Graduate degree (MS or PhD) in Computer Science, Computational Linguistics, Statistics, or a related field.
Benefits
  • Family Health Care (54% cost covered for the entire family)
  • Family Dental (54% cost covered for the entire family)
  • Family Vision (54% cost covered for the entire family)
  • Flexible Spending Account
  • Performance bonuses tied to project and delivery milestones
  • Lifetime Event Bonuses (e.g., new child, marriage)
  • Profit‑sharing arrangement for any work brought into the company
  • Unlimited Leave with Approval
  • 401k - 100% employer match on first 4% invested
  • $1,500 annual training and conference budget

Job Type: Full‑time, Permanent Position
Work Authorization: US Citizen or Permanent Resident; no active security clearance required.
Schedule: Monday to Friday
Work Location: Hybrid - Arlington, Virginia

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