1

Medical Coding Using Ai Jobs in Vancouver, WA (NOW HIRING)

AI Infrastructure Engineer

Hillsboro, OR · On-site

$170K - $315K/yr

You leverage AI coding agents daily to accelerate your own workflow and benchmark generation. Your ... Candidates should never be required to pay recruitment fees, medical examination fees, or any other ...

Senior Accountant

Portland, OR · On-site

$125 - $180/hr

... coding, and month‑end close support. * Ability to book journal entries and understand when to elevate more complex accounting questions. * Technology‑forward, with strong judgment for using AI ...

New

Senior Accountant

Portland, OR · On-site

$95 - $130/hr

... coding, and month-end close support. * Ability to book journal entries and understand when to escalate more complex accounting questions. * Technology-forward, with strong judgment for using AI ...

New

Showing results 41-60

Medical Coding Using Ai information

See Vancouver, WA salary details

$16

$23

$35

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

As of Sep 2, 2026, the average hourly pay for medical coding using ai in Vancouver, WA is $23.48, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $25.14 per hour, depending on experience, location, and employer.

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.

What are popular job titles related to Medical Coding Using Ai jobs in Vancouver, WA?

For Medical Coding Using Ai jobs in Vancouver, WA, the most frequently searched job titles are:

What cities near Vancouver, WA are hiring for Medical Coding Using Ai jobs?

Cities near Vancouver, WA with the most Medical Coding Using Ai job openings:

Infographic showing various Medical Coding Using Ai job openings in Vancouver, WA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $48,828 per year, or $23.5 per hour.

Principal Software Engineer, Platform Engineering & Edge Infrastructure

Ring Inc

Vancouver, WA • On-site

$240 - $250/hr

Other

Posted 15 days ago


Job description

Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.

Come join us as founding members of Saviynt’s AI Security team and help us build out AI security for the world's leading enterprises.

WHAT YOU WILL BE DOING
  • Design and operate the infrastructure powering Cloud and Edge platform deployments.
  • Build deployment automation for distributed Edge PoPs supporting headquarters, branch offices, regional hubs, and customer data centers.
  • Design highly available deployment architectures supporting secure fail‑closed operation and resilient policy synchronization.
  • Build CI/CD pipelines, release automation, upgrade orchestration, and lifecycle management for Cloud, Edge, and Endpoint components.
  • Develop observability platforms, including logging, metrics, tracing, health monitoring, and audit pipelines.
  • Automate provisioning, certificate lifecycle management, secrets management, and secure configuration distribution.
  • Drive platform scalability, operational excellence, reliability, disaster recovery, and security.
AI & Agentic Engineering
  • Apply AI-assisted engineering across infrastructure, deployment automation, and platform operations.
  • Build infrastructure supporting AI-native applications, AI services, and distributed agentic workloads.
  • Follow AI SDLC best practices for software delivery, automation, deployment, monitoring, and continuous improvement.
  • Evaluate emerging AI infrastructure technologies to improve engineering productivity and operational efficiency.
WHAT YOU BRING
  • 1+ years of Principal-level platform engineering, DevOps, or Site Reliability Engineering experience.
  • Deep experience operating Kubernetes and cloud-native platforms at enterprise scale.
  • Strong experience with Terraform, Helm, GitHub Actions, ArgoCD, Ansible, or similar automation technologies.
  • Experience with distributed networking, service meshes, proxies, DNS, load balancing, and TLS.
  • Strong experience in Linux systems administration and infrastructure automation.
  • Experience deploying highly available distributed enterprise software across multiple customer environments.
  • Hands‑on experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, Windsurf, ChatGPT, or similar.
  • Understanding of AI application architectures, AI agents, MCP, and AI-enabled infrastructure.
  • Familiarity with AI SDLC best practices, including AI-assisted development, automated testing, CI/CD automation, observability, and responsible use of AI-generated code.
  • Strong operational mindset with excellent communication, collaboration, and leadership skills.

$240,000 - $250,000 a year

We offer you a competitive total rewards package, learning and tremendous opportunities to grow and advance in your career. At Saviynt, it is not typical for an individual to be hired at or near the top of the range for their role and final compensation decisions are dependent on many factors including but are not limited to location; skill sets; experience and training; licensure and certifications; and other relevant business and organizational needs. A reasonable estimate of the current range is $240,000 - $250,000 annually.

You may also be eligible to participate in a Saviynt discretionary bonus plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

REQUIRED TRAINING AND POLICIES
  • Complete security & privacy literacy and awareness training during onboarding and annually thereafter.
  • Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as Data Classification, Retention & Handling Policy, Incident Response Policy/Procedures, Business Continuity/Disaster Recovery Policy/Procedures, Mobile Device Policy, Account Management Policy, Access Control Policy, Personnel Security Policy, and Privacy Policy.

Saviynt is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

#J-18808-Ljbffr

Ring logo

About Ring

Sourced by ZipRecruiter

Industry

Computer and electronic product manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Santa Monica, CA, US

Year founded

2012

Social media