ZipRecruiter

Log In

1

Medical Coding Using Ai Jobs in Houston, TX (NOW HIRING)

ZEUS SOLUTIONS INC

AI Architect

Houston, TX · On-site

$58.75 - $76.50/hr

Implement Infrastructure as Code using Terraform and Bicep. Drive cloud adoption strategies focused on reliability, security, cost optimization, and performance. AI & Generative AI Solutions Design ...

New

Libsys, Inc.

AI Architect

Houston, TX · On-site

$60.75 - $79/hr

Implement Infrastructure as Code using Terraform and Bicep. * Drive cloud adoption strategies focused on reliability, security, cost optimization, and performance. * AI & Generative AI Solutions

ZEUS SOLUTIONS INC

AI Architect

Houston, TX · On-site

$58.75 - $76.50/hr

Implement Infrastructure as Code using Terraform and Bicep. Drive cloud adoption strategies focused on reliability, security, cost optimization, and performance. AI & Generative AI Solutions Design ...

New

ZEUS SOLUTIONS INC

AI Architect

Houston, TX · On-site

$58.75 - $76.50/hr

Implement Infrastructure as Code using Terraform and Bicep. Drive cloud adoption strategies focused on reliability, security, cost optimization, and performance. AI & Generative AI Solutions Design ...

New

Hewlett Packard Enterprise

Senior AI Engineer

Spring, TX · On-site

$93K - $127K/yr

... using AI coding tools (GitHub Copilot, ChatGPT, Claude, or similar) in software development workflows Experience delivering automation or developer tooling used by multiple engineers Strong written ...

Resource Consulting Services

AI Architect IV

Houston, TX · On-site

$60.75 - $79/hr

Implement Infrastructure as Code using Terraform and Bicep. * Drive cloud adoption strategies focused on reliability, security, cost optimization, and performance. AI & Generative AI Solutions

previous page

Showing results 41-60

All JobsMedical Coding Using Ai JobsMedical Coding Using Ai Jobs in Houston, TX

Medical Coding Using Ai information

See Houston, TX salary details

$15

$21

$32

How much do medical coding using ai jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for medical coding using ai in Houston, TX is $21.41, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $22.93 per hour, depending on experience, location, and employer.

What is the difference between Medical Coding Using Ai vs Medical Coding Specialist?

AspectMedical Coding Using AiMedical Coding Specialist
CredentialsNone required; relies on AI softwareCertification (e.g., CPC, CCS)
Work EnvironmentPrimarily digital, often remoteOffice or remote, depending on employer
Industry UsageUsed by healthcare providers and tech companiesEmployed by hospitals, clinics, insurance companies
Job FocusAI-driven coding automation and oversightManual coding, review, and compliance

Medical Coding Using Ai involves leveraging artificial intelligence to automate and assist coding tasks, reducing manual effort. In contrast, a Medical Coding Specialist manually reviews and assigns codes based on medical records, requiring certification and expertise. While AI enhances efficiency, specialists ensure accuracy and compliance. Both roles are vital in healthcare billing and coding workflows, often working together to optimize processes.

How does working with AI tools change the daily workflow for medical coders?

Integrating AI tools into medical coding streamlines many routine tasks, such as extracting relevant information from clinical notes and suggesting appropriate codes. This allows medical coders to focus more on complex cases, code validation, and quality assurance. Collaboration with IT specialists and healthcare providers may increase as coders provide feedback on AI system performance and help refine its accuracy. Adapting to new technologies can be a challenge at first, but it often leads to improved productivity, fewer manual errors, and opportunities for professional development in health informatics.

What is medical coding using AI?

Medical coding using AI refers to the application of artificial intelligence technologies to automate the process of translating healthcare diagnoses, procedures, and services into standardized codes. AI-powered systems use natural language processing and machine learning to analyze clinical documentation and accurately assign the appropriate medical codes. This helps healthcare providers improve efficiency, reduce errors, and ensure proper billing and reimbursement. As AI continues to evolve, it is increasingly being integrated into healthcare revenue cycle management to streamline operations and support compliance.

What are the key skills and qualifications needed to thrive as a medical coding using AI specialist?

To thrive as a Medical Coding Using AI specialist, you need a strong understanding of medical terminology, coding standards (like ICD-10 and CPT), and healthcare compliance, often supported by a certification such as CPC or CCS. Familiarity with AI-based coding platforms, electronic health records (EHR) systems, and healthcare data analytics tools is typically required. Analytical thinking, attention to detail, and adaptability are crucial soft skills for interpreting complex records and working with evolving technologies. These skills ensure accurate, efficient coding and compliance with regulations, enabling healthcare organizations to optimize billing and patient care.
What are popular job titles related to Medical Coding Using Ai jobs in Houston, TX? For Medical Coding Using Ai jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Medical Coding Using Ai jobs in Houston, TX look for? The top searched job categories for Medical Coding Using Ai jobs in Houston, TX are:
What cities near Houston, TX are hiring for Medical Coding Using Ai jobs? Cities near Houston, TX with the most Medical Coding Using Ai job openings:
Medical Coding Using Ai jobs near you

AI Architect

ZEUS SOLUTIONS INC

Houston, TX • On-site

$58.75 - $76.50/hr

Full-time

Posted 3 days ago

New

Job description


Job Description: Key Responsibilities
Application Modernization & Cloud Transformation Assess and modernize legacy applications using cloud-native architecture patterns.
Design and implement scalable solutions using Azure PaaS services and Gemini Enterprise for CX Lead migration of on-premises applications and services to Microsoft Azure.
Transform monolithic applications into microservices and API-driven architectures.
Develop modernization roadmaps aligned to business goals and customer experience objectives.
Establish architectural standards, governance, security, and operational best practices.
Experience with Azure and GCP Cloud Platforms Architect resilient, scalable, and highly available solutions on Azure.
Design enterprise cloud platforms leveraging Azure App Services, AKS, Azure Functions, API Management, Azure SQL, Cosmos DB, and Integration Services.
Implement Infrastructure as Code using Terraform and Bicep.
Drive cloud adoption strategies focused on reliability, security, cost optimization, and performance.
AI & Generative AI Solutions
Design and implement AI-enabled business capabilities using Gemini Enterprise for CX, Azure AI Services and Azure OpenAI.
Develop Generative AI solutions including enterprise copilots, intelligent assistants, document intelligence, and knowledge management systems.
Leverage Azure AI Search, vector databases, Semantic Kernel, and Retrieval-Augmented Generation (RAG) architectures.
Establish AI governance, responsible AI frameworks, security controls, and monitoring standards.
Identify opportunities to improve customer and employee experiences through AI-powered automation and insights.
Integration & Data Architecture
Design enterprise integration solutions using Azure API Management, Logic Apps, Service Bus, Event Grid, and Event Hubs.
Enable hybrid connectivity between on-premises and cloud platforms.
Architect real-time and batch synchronization solutions across enterprise applications.
Design modern data architectures leveraging Azure SQL, Cosmos DB, Microsoft Fabric, Azure Synapse, and Azure Data Factory.
---
DevSecOps & Platform Engineering
Establish CI/CD pipelines using Azure DevOps and GitHub Actions.
Embed security and compliance controls throughout the software development lifecycle.
Implement monitoring and observability solutions using Azure Monitor, Log Analytics, and Application Insights.
Promote DevSecOps, SRE, and platform engineering best practices.
---
Required Qualifications
Experience
10+ years of experience in software engineering, architecture, and enterprise application delivery.
5+ years of hands-on Azure/Google cloud architecture experience.
3+ years of experience designing and implementing AI/Generative AI solutions.
Proven success leading large-scale application modernization and cloud transformation initiatives.
Experience delivering customer-facing digital platforms and enterprise integration solutions.