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Medical Coding Artificial Intelligence Jobs in Texas

The Harris Center

Medical Coder

Houston, TX · On-site

$17 - $22.50/hr

Accounts for coding and abstracting of patient encounters, including diagnostic and procedural ... Intellectual and Developmental Disability (IDD) Authority serving Harris County, Texas. As the ...

Posted today

SQDM

USA_Artificial Intelligence Engineer

Frisco, TX · On-site

$114K - $151K/yr

Contribute to coding standards, mentor peers, and help shape the long-term AI technical roadmap. Innovation & Applied Research * Evaluate and apply new technologies in LLMs , Retrieval-Augmented ...

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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 Texas?

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

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

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

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

Cities in Texas 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 Texas as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, and 6% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Artificial Intelligence Agent Engineer

Bristol Bay Native Corporation

San Antonio, TX • On-site

$71K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Job description

We are STS Government Solutions (SGS), a government contracting and consulting firm supporting several military installations and federal agencies across the nation. We are currently supporting a new mission in San Antonio, TX and seeking additional team members to join our team. SGS is seeking a Information Assurance Engineer III with infrastructure architecture experience for a new effort at Lackland AFB in San Antonio, TX.
What You'll Do:
  • Designs, engineers, and operationalizes intelligent software agents that utilize large language models and AI systems to automate workflows, retrieve and reason over enterprise knowledge, and deliver business outcomes.
  • Applies principles of software engineering, information retrieval, and agent orchestration to construct production-grade agents that plan tasks, call tools and APIs, coordinate with other agents, and interact safely with users and services.
  • Architects end-to-end agent systems encompassing memory/state, retrieval layers, evaluation, and governance.
  • Integrates agents with cloud platforms and enterprise applications; establishes observability and lifecycle controls; and optimizes for accuracy, reliability, latency, scalability, and unit cost.
  • Collaborates with product, security, legal, and operations stakeholders to reimagine processes with agents at the center and align deployments with organizational standards and compliance requirements.
  • May lead technical reviews and mentor engineers contributing to shared frameworks, SDKs, and agent platforms.
  • Analyzes candidate business processes and user journeys to identify automation opportunities suitable for agentic patterns (planning, tool use, multi-step reasoning, delegation).
  • Develops production-grade agents using modern frameworks and libraries and implements modular, testable code for skills, tools, connectors, and multi-agent collaboration.
  • Implements retrieval-augmented generation pipelines and curates embeddings, vector indexes, chunking strategies, and grounding policies to ensure factuality and source attribution.
  • Integrates agents with enterprise systems and external services (CRM, ticketing, knowledge bases, data warehouses, messaging, analytics) and manages identity, authorization, and auditability.
  • Engineers multi-agent communication and handoff mechanisms to enable cooperative task execution, error recovery, and fallback strategies.
  • Optimizes inference performance and cost and applies prompt and policy tuning, caching/batching, quantization, and model/vendor selection to meet service-level objectives.
  • Plans and executes versioning, testing, and rollout strategies (unit, integration, regression, UX).
  • Maintains agent knowledge interfaces and schedules corpus refresh, drift detection, and policy updates to keep outputs aligned with evolving data and business rules.
  • Troubleshoots incidents spanning data, orchestration, inference, and integration layers.
  • Performs root-cause analysis and deploys durable fixes and post-incident improvements.
  • May engineer voice and telephony integrations, configure call routing and metadata exchange, and ensure audio quality and fallbacks for conversational agents
  • May design synthetic-data generation and labeling workflows to expand evaluation coverage and accelerate tuning.
  • May participate in governance forums and vendor assessments, comparing models, orchestration frameworks, and hosting strategies against technical and commercial criteria

Due to the integrated nature of this Cyber Defense Operations support team, this position will also support the planning, design, implementation, and continuous improvement of the organization's technical infrastructure to ensure it is secure, scalable, resilient, and aligned with mission requirements. Responsibilities may include evaluating and recommending infrastructure and systems architecture; designing and validating server, storage, database, cloud, and network infrastructure solutions; developing and maintaining architectural standards and technical documentation; identifying opportunities to improve performance, reliability, security, and automation; and collaborating with engineers and operations personnel to implement infrastructure enhancements. The incumbent may develop scripts and automation to streamline infrastructure management and operational processes and will ensure infrastructure designs support cybersecurity, operational resiliency, and long-term organizational objectives.
What You Bring:
  • Bachelors degree in Computer Science, IT or related field.
  • 5+ yrs of recent relevant experience
  • Certifications: CISSP-ISSMP or GSLC or Legacy CCSP or CISSP. CASP+ or CCNP Security or CCSP or GCIA or GCED or GCIH or Legacy Cisco Certified Network Associate (CCNA)
  • TS/SCI Clearance

What We Offer:
SGS offers a competitive benefits package to include: paid holidays, paid time off including sick and vacation leave, medical, dental and vision insurance, flexible spending accounts, short and long term disability, company paid life insurance, 401(k) with a company match and discretionary profit sharing and tuition reimbursement

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