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Medical Coding Using Ai Jobs in Washington (NOW HIRING)

Jobtailor

AI-Native Software Engineer

Arlington, VA · On-site

$140 - $190/hr

Experience using LLMs for code generation, debugging, test generation, and documentation automation * Familiarity with agent-based development workflows and AI-assisted engineering environments

New

Fortegra

Senior Full Stack AI Engineer

Washington, DC · On-site

... using AI coding tools such as: Claude Code, Cursor, GitHub Copilot, Replit. • Experience with AI-assisted or agentic development workflows. • Strong ability to prototype quickly and iterate ...

MedStar Health

Inpatient Coding Specialist

Washington, DC · On-site

$28.76 - $48.96/hr

Reviews medical record documentation to identify diagnoses and procedures. Assigns correct diagnostic and procedural codes using standard guidelines and automated encoding software maintaining ...

MedStar Health

Inpatient Coding Specialist

Columbia, MD · On-site

$28.76 - $48.96/hr

Reviews medical record documentation to identify diagnoses and procedures. Assigns correct diagnostic and procedural codes using standard guidelines and automated encoding software maintaining ...

Peraton

Senior AI Engineer

Reston, VA · Remote

$127K - $168K/yr

Improve code quality, operational efficiency, and system resilience using AI * Standardized, reusable AI orchestration patterns deployed across programs * Measurable improvements in SLA performance ...

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Medical Coding Using Ai information

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.

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 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 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.

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Medical Coding Using Ai jobs near you
Infographic showing various Medical Coding Using Ai job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 12% Part Time, 2% Temporary, and 10% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.

Software Engineer - AI (Top Secret Clearance Required)

North Point Technology

Alexandria, VA • On-site

Full-time

Re-posted 16 days ago

Job description

North Point Technology is looking to hire a Systems Engineering Architect to support AWS Resiliency and Recovery. The qualified candidate must currently hold an active Top Secret security clearance (with the ability to obtain SCI and CI Polygraph), and will work hand-in-hand with technical and program management leadership, along with various external stakeholders, to design and implement AWS Resiliency and Recovery capabilities including cross-AZ recovery procedures, infrastructure automation, and automated failover orchestration. The ideal candidate brings experience across multiple Systems Engineering and architecture domains, with a focus on standing up and maintaining cloud environments and deploying custom code, COTS, and GOTS to those environments with a Geospatial focus.
North Point Technology is looking to hire an AI Engineer to lead artificial intelligence solutions on our FS2 Sea task order team. The qualified candidate must hold an active TS security clearance with the ability to obtain SCI with CI Polygraph, and will design, develop, and deploy AI capabilities across multiple operational cloud environments. The ideal candidate brings deep expertise across modern AI technologies and cloud architecture and thrives on solving challenging problems that push Sea based systems beyond conventional outcomes.
***This job requires active TS clearance. Please apply only if you have an active TS clearance. ***
Responsibilities:
This position focuses on leading the design and implementation of AI architectures, including operational monitoring, coding improvements, and secure dashboard tooling. The engineer collaborates on North Point Technology's AI initiatives by providing insight into emerging technologies, tooling, and best practices, and will design, secure, and automate AWS cloud initiatives that optimize agent and customer experiences to their full AI potential. Additional duties include enhancing software development workflows, quality metrics, KPIs, and dashboards with AI, applying broad systems engineering lifecycle experience to cloud architectural design and development, and leading teams to deploy and configure services using AI tools.
Required Skills/Experience:
  • Subject matter expertise across a range of AI technologies
  • Proficient in Python
  • Designing and implementing distributed, cloud based solutions (Cloud, SOA, Web Services)
  • Experience with Cloud/PaaS environments
  • CI/CD and DevOps tooling such as GitLab and Jenkins
  • Infrastructure as Code using AWS CloudFormation and Terraform
  • Database development, for example with PostgreSQL

Preferred Skills/Experience:
  • Windows and Linux system administration
  • Knowledge of SDLC and Agile best practices, including Scrum and Kanban
  • Virtualization, networking, and operating system experience
  • Infrastructure monitoring with Zabbix
  • Security compliance scanning with ACAS
  • Team collaboration tools such as Jira, Confluence, and RocketChat
  • Understanding of the SFH organization and Sea data and mission
  • Experience with NGA cloud based architecture
  • Experience with IC Cloud architecture implementation methodologies
  • Experience building and maintaining CI/CD pipelines and projects
  • AWS certifications such as Solutions Architect, Developer, or Machine Learning

Qualifications:
  • Active Top Secret (TS) security clearance with the ability to obtain SCI with CI Polygraph
  • DoD 8570 compliant certification (IAT Level II/III, e.g., Security+ or higher)
  • Bachelor's degree in Computer Science, Engineering, or a related field

North Point Technology is THE BEST place to work for curious-minded engineers motivated to support our country's most crucial missions! We focus on long term projects, leveraging the latest technology in support of innovative solutions to solve our customer's most difficult problems.
At North Point Technology, EMPLOYEES come first! We value our employees by providing excellent compensation, benefits, and a flexible work-life balance. We strive for a close-knit and open atmosphere where the owners are always directly available to our team members.
Come join us! Apply with North Point Technology today!
For positions requiring a federal security clearance, your clearance level must be clearly identified on your resume.

Apply