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Rag Developer Jobs in Kentucky (NOW HIRING)

Deloitte

AI Data Engineer - Senior Consultant

Louisville, KY · Hybrid

$100K - $137K/yr

Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

Trackmind

$56 - $73.75/hr

Key Responsibilities: \uD83D\uDD39 Design and implement LLM-powered applications using RAG ... Prompt Engineering, AI Evaluation, Monitoring, and Governance Preferred Qualifications: ⭐ ...

Humana

Senior Applied AI Software Engineer ( AI)

Louisville, KY · On-site +1

$117K - $155K/yr

... RAG, tool use, workflow automation, and personalized assistance. Develop secure, scalable AI ... Minimum 5 years of professional software engineering experience with advanced Python development ...

Humana

Senior Applied AI Software Engineer ( AI)

Louisville, KY · On-site +1

$117K - $155K/yr

... RAG, tool use, workflow automation, and personalized assistance. Develop secure, scalable AI ... Minimum 5 years of professional software engineering experience with advanced Python development ...

Humana

Senior Applied AI Software Engineer ( AI)

Louisville, KY · On-site +1

$117K - $155K/yr

... RAG, tool use, workflow automation, and personalized assistance. Develop secure, scalable AI ... Minimum 5 years of professional software engineering experience with advanced Python development ...

Expert Technology Services

AI Agent Engineer

Louisville, KY · On-site

$99K - $134K/yr

Agentic AI frameworks (MCP, ADK, Lang Graph, Lang Chain), LLM integration & orchestration, RAG ... Engineering 5 years experience as a Lead/Senior architect or senior technical lead for large ...

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Rag Developer information

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

What job makes $10,000 a month without a degree?

A Rag Developer, or similar specialized freelance or contract roles in software development, can earn $10,000 or more per month without a formal degree by demonstrating strong coding skills, experience, and a portfolio. High-demand skills in programming languages, web development, or app creation often lead to such income levels through freelance projects or consulting work.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles are usually found in leading tech companies and may involve responsibilities like developing innovative algorithms or managing AI projects, with compensation reflecting expertise and experience.

What jobs pay $2000 a day?

For a Rag Developer or similar high-skilled tech roles, earning $2000 a day typically requires extensive experience, specialized skills, and often freelance or contract work. Such high daily rates are common in consulting, software development, or project management for large organizations or clients. These positions often demand advanced certifications, a strong portfolio, and the ability to deliver complex solutions efficiently.
What are popular job titles related to Rag Developer jobs in Kentucky? For Rag Developer jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Rag Developer jobs in Kentucky look for? The top searched job categories for Rag Developer jobs in Kentucky are:
What cities in Kentucky are hiring for Rag Developer jobs? Cities in Kentucky with the most Rag Developer job openings:
Rag Developer jobs near you
Infographic showing various Rag Developer job openings in Kentucky as of June 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 86% In-person, and 14% Remote job distribution.
Principal Enterprise Solution Architect, AI Health Cloud

Principal Enterprise Solution Architect, AI Health Cloud

BrightSpring Health Services

Louisville, KY

$218K/yr

Full-time

Posted 20 days ago

BrightSpring Health Services rating

4.6

Company rating: 4.6 out of 10

Based on 61 frontline employees who took The Breakroom Quiz

215th of 231 rated social care providers

Job description

Overview

We are seeking a highly experienced and hands-on Principal Enterprise Architect to lead the full stack design and integration of advanced AI/ML platform and solution architectures within our AI-enabled Health Cloud Platform. This role combines deep expertise in end to end systems architecture, platform engineering, and integration/API design, enabling seamless, secure, and scalable AI/ML healthcare applications.


You will play a critical role in shaping both the technical foundation of the platform and the delivery of intelligent healthcare solutions, ensuring that AI capabilities such as Generative AI, Agentic AI, RPA, and fine-tuned RAG/Vector DB models are effectively embedded into clinical and pharmacy workflows.


Responsibilities

  • Architect and lead the full stack implementation of end-to-end AI/ML platform and solution architectures, ensuring seamless integration with enterprise systems and healthcare data sources.
  • Design and develop robust, scalable APIs and microservices using technologies such as .NET, C#, and RESTful services.
  • Define and enforce platform and integration architecture standards, including data contracts, API security, service orchestration, and interoperability.
  • Collaborate with AI/ML engineers, product managers, API, and data engineers to translate business and clinical requirements into cloud-native, reusable platform capabilities and solution-specific workflows.
  • Architect and optimize LLM-based systems, including RAG pipelines, vector databases, and agentic AI frameworks (e.g., LangChain, AutoGen).
  • Design and evolve the AI/ML platform architecture, including model lifecycle management, orchestration layers, and reusable AI services.
  • Ensure all solutions and platform components are HIPAA-compliant, secure, and aligned with healthcare interoperability standards (FHIR, HL7 etc.).
  • Evaluate and integrate third-party AI services, open-source tools, and cloud-native components into the platform.
  • Provide architectural leadership across model training, deployment, monitoring, and retraining, ensuring scalability and performance.

Qualifications

  • 10+ years of experience in solution and platform architecture, with a strong focus on AI/ML systems and enterprise integration.
  • 15+ years in overall solution architecture.
  • Proven experience designing and delivering AI-powered healthcare or pharmacy platforms and solutions.
  • Experience with multi-agent systems, RPA tools, and intelligent automation in healthcare.
  • Strong experience with API development and integration using .NET, C#, and modern API frameworks.
  • Deep understanding of cloud platforms (Azure preferred), containerization (Docker, Kubernetes), and MLOps practices.
  • Expertise in Generative AI, RAG architectures, vector databases, and agentic AI orchestration.
  • Expertise in healthcare data standards and secure data handling practices.
  • Excellent communication and stakeholder engagement skills.

Preferred Qualifications:

  • Background in AI/ML engineering, data science, or biomedical informatics.
  • Knowledge of responsible AI, model explainability, and bias mitigation.
  • Advanced degree (MS or PhD) in Computer Science, AI/ML, or a related field.

What BrightSpring Health Services employees say

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