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Medical Coding Artificial Intelligence Jobs (NOW HIRING)

Artificial Intelligence Specialist

Chantilly, VA · On-site +1

$109K - $203K/yr

Artificial Intelligence Specialist Job Code: 38585 Job Location: Palm Bay, FL OR Fort Wayne, IN OR Rochester, NY OR Chantilly, VA OR Waco, TX OR Camden, NJ OR Colorado Springs, CO OR Greenville, TX ...

Artificial Intelligence Specialist

Wilmington, MA · On-site +1

$109K - $203K/yr

Artificial Intelligence Specialist Job Code: 38585 Job Location: Palm Bay, FL OR Fort Wayne, IN OR Rochester, NY OR Chantilly, VA OR Waco, TX OR Camden, NJ OR Colorado Springs, CO OR Greenville, TX ...

Stefanini is looking for an Artificial Intelligence Engineer (Dearborn, MI) For quick apply, please ... Familiarity with Diagnostic Trouble Code (DTC) data, Over-the-Air (OTA) update systems, or repair ...

Artificial Intelligence Specialist

Greenville, TX · On-site +1

$109K - $203K/yr

Artificial Intelligence Specialist Job Code: 38585 Job Location: Palm Bay, FL OR Fort Wayne, IN OR Rochester, NY OR Chantilly, VA OR Waco, TX OR Camden, NJ OR Colorado Springs, CO OR Greenville, TX ...

Artificial Intelligence Specialist

Rochester, NY · On-site +1

$109K - $203K/yr

Artificial Intelligence Specialist Job Code: 38585 Job Location: Palm Bay, FL OR Fort Wayne, IN OR Rochester, NY OR Chantilly, VA OR Waco, TX OR Camden, NJ OR Colorado Springs, CO OR Greenville, TX ...

PA · On-site

Artificial Intelligence Developer Location: Dauphin County, PA (Online Locals Preferred) Client ... Develop production-ready Python code following Object-Oriented Design principles. * Collaborate ...

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Medical Coding Artificial Intelligence information

See salary details

$5

$29

$46

How much do medical coding artificial intelligence jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for medical coding artificial intelligence in the United States is $29.99, according to ZipRecruiter salary data. Most workers in this role earn between $24.76 and $34.38 per hour, depending on experience, location, and employer.

Can medical coding be done with AI?

Medical coding can be performed with AI systems that analyze clinical documentation and assign appropriate codes for billing and record-keeping. These AI tools are often integrated into coding software and require oversight from trained professionals to ensure accuracy and compliance with industry standards.

What is the difference between Medical Coding Artificial Intelligence vs Medical Coding Specialist?

AspectMedical Coding Artificial IntelligenceMedical Coding Specialist
CredentialsNone required, relies on algorithmsCertification (e.g., CPC, CCS)
Work EnvironmentAutomated systems, software platformsHospitals, clinics, healthcare offices
Industry UsageAssists or automates coding tasksPerforms manual coding and audits
Search/Comparison IntentUnderstanding AI role in codingManual coding skills and certification

Medical Coding Artificial Intelligence primarily automates coding processes using algorithms, reducing manual effort. Medical Coding Specialists manually review and assign codes, often requiring certifications. AI enhances efficiency, while specialists ensure accuracy and compliance. Both play vital roles in healthcare documentation and billing.

Will AI take over medical coder jobs?

Medical coding artificial intelligence tools are increasingly used to assist with coding tasks, but they are not expected to fully replace medical coders. Human oversight remains essential for accuracy, interpretation of complex cases, and compliance, making the role of medical coders valuable alongside AI technology.

What are the key skills and qualifications needed to thrive in Medical Coding Artificial Intelligence, and why are they important?

To excel in Medical Coding Artificial Intelligence, you need a strong background in medical coding, familiarity with healthcare terminology, and expertise in AI or machine learning, often supported by degrees in health informatics, computer science, or related certifications. Experience with coding systems like ICD-10, CPT, and proficiency in AI tools, programming languages (such as Python), and natural language processing platforms are typically required. Strong analytical thinking, attention to detail, and effective collaboration skills help professionals bridge the gap between clinical data and technical solutions. These competencies are crucial for developing, optimizing, and deploying AI systems that improve the accuracy and efficiency of medical coding in healthcare organizations.

What is Medical Coding Artificial Intelligence?

Medical Coding Artificial Intelligence refers to the use of AI technologies to automate and improve the medical coding process in healthcare. AI systems can analyze clinical documentation, extract relevant information, and assign appropriate codes for diagnoses and procedures. This technology helps healthcare providers increase accuracy, reduce manual errors, streamline billing, and ensure compliance with regulations. By leveraging AI, organizations can save time and resources while enhancing the quality of patient data management.

Which 3 jobs will survive AI?

Medical Coding Artificial Intelligence professionals will likely see roles that involve complex decision-making, oversight, and interpretation, such as senior medical coders, compliance specialists, and healthcare data analysts. These roles require critical thinking, domain expertise, and adaptability to AI tools, making them more resilient to automation. Skills in understanding medical regulations and working alongside AI systems will be essential for long-term employment in this field.

How do professionals in Medical Coding Artificial Intelligence typically collaborate with healthcare providers and IT teams?

Professionals working in Medical Coding Artificial Intelligence frequently interact with both healthcare providers and IT teams to develop and refine AI models that accurately interpret medical documentation. This collaboration involves understanding clinical workflows, ensuring data privacy compliance, and translating medical terminology into machine-readable formats. Regular meetings and cross-functional teamwork help align the AI solutions with real-world clinical needs and regulatory standards, making strong communication skills essential for success in this role.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior data scientist, or AI architect, often in large tech companies or specialized firms. These roles usually require advanced skills in machine learning, deep learning, and programming, along with extensive experience and sometimes advanced degrees. Compensation at this level includes base salary, bonuses, and stock options, reflecting the role's seniority and impact.
More about Medical Coding Artificial Intelligence jobs
What cities are hiring for Medical Coding Artificial Intelligence jobs? Cities with the most Medical Coding Artificial Intelligence job openings:
What states have the most Medical Coding Artificial Intelligence jobs? States with the most job openings for Medical Coding Artificial Intelligence jobs include:
Infographic showing various Medical Coding Artificial Intelligence job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $62,377 per year, or $30 per hour.

Artificial Intelligence Specialist

L3HHCM20

Chantilly, VA • On-site, Remote

$109K - $203K/yr

Other

Medical, Retirement, PTO

Posted 10 days ago


Job description

Job Title: Artificial Intelligence Specialist

Job Code: 38585

Job Location: Palm Bay, FL OR Fort Wayne, IN OR Rochester, NY OR Chantilly, VA OR Waco, TX OR Camden, NJ OR Colorado Springs, CO OR Greenville, TX OR Herndon, VA

Job Schedule: 9/80 (Every other Friday off)

Job Description:

L3Harris is seeking an AI Specialist to support the Space and Mission Systems (SMS) segment AI team serving all SMS sectors. The AI Specialist will design, deploy, and maintain AI-enabled applications both in unclassified and secure containerized environments. This is an ideal opportunity for an engineer pursuing AI/ML application engineering, platform engineering, and DevSecOps in a mission-critical defense environment.

Qualifications:

Ability to obtain and maintain a DoD Secret clearance is required
Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, or related technical field and a minimum of 6 years of prior relevant experience; Or, Graduate Degree with a minimum of 4 years of prior related experience
4+ years of experience in at least one programming language (Python preferred)

Preferred Additional Skills:

Working knowledge of Linux (RHEL/AlmaLinux preferred; Ubuntu acceptable)
Hands-on experience with containerization (Docker/Podman), Git (Bitbucket/GitLab), and basic SQL / relational databases (PostgreSQL, MySQL, etc.)
Familiarity with at least one major cloud provider (AWS or Azure) and Agile tools (Jira, Confluence)
Ability to comply with export-controlled (ITAR/EAR) and Controlled Unclassified Information (CUI) handling requirements
LLMs and Generative AI; RAG patterns and agentic frameworks (LangGraph); Python web/API development (FastAPI, Flask, Django)
Local AI model stacks (vLLM, LiteLLM, Ollama); reverse proxies (Caddy, Nginx, Traefik); vector databases (pgvector, Qdrant, Milvus, Weaviate)
LLM evaluation tooling (RAGAS, DeepEval, promptfoo); observability (LangSmith, Phoenix); coursework or project experience in machine learning, NLP, or deep learning
GitOps/DevSecOps concepts and toolchains; CI/CD authoring (Bitbucket Pipelines, GitLab CI); JFrog Artifactory; Microsoft Entra ID app registrations and Graph API in GCC High
Secure software development in regulated/mission-critical environments; familiarity with the NIST AI Risk Management Framework (AI RMF) or OWASP Top 10 for LLM Applications
Experience deploying AI in classified or highly regulated environments, including familiarity with AI ATO processes, data governance requirements, and secure AI infrastructure (on-prem, air-gapped, or GovCloud)
Direct experience with AI-assisted software development tools and agentic coding frameworks (e.g., Claude Code, GitHub Copilot, Cursor, Codex) including measuring productivity outcomes
Background in defense, aerospace, or adjacent mission-critical industries, with experience navigating the unique constraints of delivering AI in program-of-record environments

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $109,500-$203,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $95,000-$177,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

The application window for this requisition is anticipated to close September 01, 2026.

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