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Remote Telemetry Monitoring Jobs in Irving, TX (NOW HIRING)

... remote patient monitoring platform -- a patented, under-mattress sensor delivering hospital-grade telemetry so care teams catch deterioration earlier and act sooner. We're hiring our first HR hire in ...

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Remote Telemetry Monitoring information

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How much do remote telemetry monitoring jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote telemetry monitoring in Irving, TX is $21.40, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $23.56 per hour, depending on experience, location, and employer.

What is remote telemetry monitoring?

A Remote Telemetry Monitoring job involves overseeing and analyzing data from patients, machines, or systems remotely using telemetry technology. In healthcare, this typically includes monitoring patients’ vital signs and alerting medical staff to critical changes. In other industries, such as energy or telecommunications, it involves tracking equipment performance and detecting faults in real time. The role requires strong analytical skills, attention to detail, and proficiency with monitoring software. It ensures the safety, efficiency, and optimal functioning of the monitored subjects.

What does a typical day look like for someone working in remote telemetry monitoring?

A typical day in Remote Telemetry Monitoring involves continuously observing patient data streams, analyzing vital signs for irregularities, and promptly alerting clinical teams to any significant changes. You’ll spend much of your time using specialized software to monitor multiple patients, documenting findings, and collaborating remotely with on-site nurses and physicians. The role requires high concentration and the ability to prioritize tasks efficiently within a team-based or independent work environment. While it can be fast-paced, this position offers the rewarding challenge of making a direct impact on patient care from a remote location.

What are the key skills and qualifications needed to thrive in remote telemetry monitoring?

To excel in Remote Telemetry Monitoring, strong analytical abilities, attention to detail, and a background in healthcare or allied health fields are typically required. Familiarity with telemetry software, remote patient monitoring systems, and relevant certifications such as Basic Life Support (BLS) or Certified Telemetry Technician are highly valued. Excellent communication skills, critical thinking, and the ability to work independently make candidates stand out in this position. These skills are essential for accurately interpreting data, promptly identifying abnormalities, and ensuring patient safety in a remote setting.

What are popular job titles related to Remote Telemetry Monitoring jobs in Irving, TX?

For Remote Telemetry Monitoring jobs in Irving, TX, the most frequently searched job titles are:

What job categories do people searching Remote Telemetry Monitoring jobs in Irving, TX look for?

The top searched job categories for Remote Telemetry Monitoring jobs in Irving, TX are:

What cities near Irving, TX are hiring for Remote Telemetry Monitoring jobs?

Cities near Irving, TX with the most Remote Telemetry Monitoring job openings:

Infographic showing various Remote Telemetry Monitoring job openings in Irving, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $44,518 per year, or $21.4 per hour.

Senior AI Application Engineer (Remote Opportunity)

VetsEZ

Dallas, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


Job description

VetsEZ is seeking a Senior AI Application Engineer to design, develop, and implement enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA). The initial assignment will support the Joint Longitudinal Viewer (JLV) AI Summarization initiative, delivering a secure, governed AI-assisted search and summarization capability within an approved test environment utilizing Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and Amazon Bedrock, while supporting clinical evaluation and future production readiness.
Working closely with AI Solution Architects, Product Owners, cybersecurity teams, DevSecOps engineers, and clinical stakeholders, this individual will develop secure, scalable, and maintainable AI-powered applications that integrate seamlessly with existing enterprise healthcare systems while ensuring compliance with Federal security, privacy, and AI governance requirements.
Responsibilities:
  • Design, develop, and implement enterprise AI applications utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
  • Develop AI-assisted search, summarization, and question-answering capabilities using Amazon Bedrock.
  • Build reusable AI services supporting prompt orchestration, document retrieval, and response generation.
  • Implement prompt engineering and source-grounding strategies to improve AI accuracy, consistency, traceability, and clinical relevance, including source links that support human verification.
  • Optimize AI performance while balancing response quality, latency, and operational cost.
  • Design and develop secure, scalable cloud-native applications utilizing modern software engineering practices.
  • Develop RESTful APIs and backend services supporting AI capabilities and enterprise integrations.
  • Implement approved document retrieval, vector search, and semantic search capabilities within the selected patient context and CHSD document set.
  • Develop automated unit, integration, and functional tests and repeatable AI evaluations for groundedness, retrieval quality, and clinical relevance supporting AI-enabled applications.
  • Troubleshoot software defects, optimize application performance, and support activities within the approved test environment and for future production readiness.
  • Integrate AI capabilities into existing enterprise healthcare applications and clinical workflows.
  • Develop secure interfaces utilizing REST APIs and modern integration patterns.
  • Support interoperability utilizing healthcare standards including FHIR, HL7, and CCD.
  • Collaborate with Solution Architects and engineering teams to implement scalable and maintainable application designs.
  • Participate in code reviews and promote software engineering best practices across the development team.
  • Develop secure software in accordance with Federal cybersecurity and privacy requirements, including approved data-retention and purge controls.
  • Support CI/CD pipelines, automated deployments, and cloud-native operational practices.
  • Implement logging, monitoring, audit capabilities, and operational telemetry, including model and prompt version tracking, usage and cost monitoring, and controls to detect model, prompt, retrieval, and data drift.
  • Support application security scanning, vulnerability remediation, and activities within the approved test environment and for future production readiness.
  • Incorporate Responsible AI, Human-in-the-Loop (HITL), and AI governance principles into application development.
  • Collaborate with architects, product owners, clinicians, cybersecurity teams, and Government stakeholders throughout the software development lifecycle.
  • Participate in Agile ceremonies including Sprint Planning, backlog refinement, Sprint Reviews, and Retrospectives.
  • Contribute to technical documentation, implementation guides, and software design artifacts.
  • Present technical solutions and implementation approaches to project leadership and stakeholders.

Requirements:
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence, Data Science, or a related technical field, or equivalent experience.
  • 8+ years developing enterprise software applications.
  • 5+ years developing cloud-native applications utilizing AWS or comparable cloud platforms.
  • Demonstrated experience developing Artificial Intelligence, Machine Learning, or Generative AI solutions.
  • Experience implementing applications utilizing Amazon Bedrock or similar enterprise AI platforms.
  • Experience developing enterprise REST APIs and cloud-native application services.
  • Amazon Bedrock and AWS cloud services
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Prompt engineering and AI evaluation
  • Python, Java, or C#
  • REST APIs and JSON
  • Vector databases, embeddings, and semantic search
  • Git, CI/CD, and DevSecOps
  • Healthcare interoperability (FHIR, HL7, CCD)

Additional Qualifications:
  • Strong understanding of modern software engineering principles and cloud-native application development.
  • Experience developing scalable, secure, and maintainable enterprise applications.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Strong written and verbal communication skills with the ability to collaborate across multidisciplinary engineering teams.
  • Ability to obtain and maintain a Government Public Trust clearance.
  • Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal healthcare organizations.
  • Experience developing AI-enabled clinical workflow, information-retrieval, or clinician-support applications requiring human validation.
  • Experience implementing vector search, embeddings, semantic search, and prompt orchestration.
  • Knowledge of Responsible AI, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, FISMA, and FedRAMP.
  • Familiarity with clinical terminology standards including SNOMED CT, ICD-10, RxNorm, and LOINC.
  • AWS Developer, AWS AI, Machine Learning, or other AWS cloud certifications are highly desirable.

Security Clearance Requirements
  • U.S. Citizenship is required.
  • All selected candidates must successfully complete a background check.
  • Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.

Benefits:
  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off plus Federal Holidays
  • Corporate Laptop
  • Professional Development and Training Opportunities
  • Remote Opportunity

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
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