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Medical Coding Artificial Intelligence Jobs in Virginia

CYNET SYSTEMS

Artificial Intelligence Engineer

Reston, VA · On-site

$59 - $77/hr

Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account (HSA) * Disability Insurance (Short-Term and Long-Term) * Life and AD&D Insurance * Paid Sick Leave (where ...

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Medical Coding Artificial Intelligence information

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.

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 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 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.

What are popular job titles related to Medical Coding Artificial Intelligence jobs in Virginia?

For Medical Coding Artificial Intelligence jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Medical Coding Artificial Intelligence jobs in Virginia look for?

The top searched job categories for Medical Coding Artificial Intelligence jobs in Virginia are:

What cities in Virginia are hiring for Medical Coding Artificial Intelligence jobs?

Cities in Virginia with the most Medical Coding Artificial Intelligence job openings:

Medical Coding Artificial Intelligence jobs near you
Infographic showing various Medical Coding Artificial Intelligence job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

Lead Specialist, Federal Artificial Intelligence (AI) Engineering

Ashburn, VA • On-site

KPMG US
See more jobs at KPMG USexternal

Full-time

Re-posted 13 days ago

Job description

Job Summary:
KPMG is a leading advisory firm that offers excellent opportunities for career advancement and professional development. They are seeking a Lead Specialist to join their Federal Advisory practice, responsible for leading AI engagements, managing complex projects, and collaborating with clients to deliver innovative analytical solutions.
Responsibilities:
• Plan, lead, and execute delivery of data / AI engagements (including definition of objectives, key deliverables, mitigating risk in data, modeling, validation, delivery)
• Lead workshops and innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities, define problem statements, and design high level analytical solutions
• Work with clients to discover data sources and create date requests; lead data discovery, ETL/ELT processes to ingest structured data / annotation processes to enrich unstructured data leveraging a variety of data sources (social media, news, internal / external documents, images, video, voice, emails, financial data, and operational data)
• Oversee the creation of analytics and machine learning models through all phases of development, from design through training, evaluation, validation, implementation, to delivery
• Lead in a fast-paced / dynamic environment utilizing virtual and face-to-face interactions; manage complex work streams, expectations, budgets, and deliverables
• Define, monitor, and report key business metrics to management; design, implement, and manage various reporting processes / dashboards
• Ability to travel as required to support firm engagements
Qualifications:
Required:
• A minimum of five years of Artificial Intelligence, Information Technology, and/or Data Science experience; U.S. Federal government consulting experience preferred
• Bachelor's degree from an accredited college/university
• Experience utilizing analytics / software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval
• Deep technical understanding of data preparation approaches and machine learning algorithms
• Knowledge / experience performing data science from data discovery, cleaning, model selection, validation, to deployment
• Experience coding artificial intelligence methods using object-oriented programming in software development processes (ability to restructure, refactor, and optimize code for efficiency)
• Hands-on experience and knowledge in distributed computing architecture, massive-parallel processing big data platforms (Hadoop, MapReduce, HDFS, Spark, PySpark, Hive/Impala, H-Base / MongoDB / Cassandra, and Teradata / Netezza / Redshift), mainstream cloud infrastructure (AWS, MS Azure, GCP, and their D&A related microservices)
• Experience with Web/RESTful service development, HTML5, JavaScript / Angular / React / Redux
• Experience with command-line scripting, data structures, and algorithms; ability to work in Linux and/or cloud environments; ability to write production level code
• Ability to travel as required to support firm engagements
• Applicant must possess or be eligible for U.S. Government clearance
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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