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Remote Utilization Review Rn Jobs in Buffalo, NY

Medix

REMOTE Account Manager (PBM)

Williamsville, NY · On-site +1

$28.85 - $38.46/hr

... reviews and documentation. * Facilitate internal and external meetings and help prepare ... Apply knowledge of Formulary Management, Drug Utilization Management, Rx Contracts, RFP processes ...

micro1 AI

Clinical Pharmacy Technicians

Buffalo, NY · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ...

micro1 AI

Pharmacovigilance Expert

Buffalo, NY · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ...

Varsity Tutors

NCLEX Tutor

Buffalo, NY · Remote

$25 - $40/hr

Adapts instruction using NCLEX review resources, practice question banks, and clinical scenario analysis to support nursing graduates preparing for first-time licensure as registered nurses or ...

Chart Industries

Sr. Design Engineer

Depew, NY · On-site +1

$107K - $115K/yr

We are open to a hybrid or remote schedule for anyone located in Northeast region. What Will You Do ... Review and approve test reports generated by field test operations. May also review technical ...

Chart Industries

Sr. Design Engineer

Buffalo, NY · On-site +1

$107K - $115K/yr

We are open to a hybrid or remote schedule for anyone located in Northeast region. What Will You Do ... Review and approve test reports generated by field test operations. May also review technical ...

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Remote Utilization Review Rn information

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How much do remote utilization review rn jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote utilization review rn in Buffalo, NY is $40.96, according to ZipRecruiter salary data. Most workers in this role earn between $32.36 and $47.02 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote utilization review RN?

To excel as a Remote Utilization Review RN, you need a valid RN license, strong clinical judgment, and knowledge of utilization management principles. Familiarity with electronic medical records (EMR), utilization management software, and guidelines such as InterQual or MCG is typically required. Outstanding attention to detail, critical thinking, and effective communication skills help you collaborate with healthcare teams and advocate for appropriate patient care. These competencies are crucial for ensuring medical necessity, regulatory compliance, and optimal resource use in a remote setting.

What is a remote utilization review RN?

A Remote Utilization Review RN is a registered nurse who evaluates the necessity, appropriateness, and efficiency of healthcare services provided to patients, typically working from a remote location. They review medical records, apply clinical guidelines, and collaborate with healthcare providers to ensure patients receive the right care at the right time. Their work helps manage healthcare costs and improves patient outcomes by preventing unnecessary treatments or hospital stays. Remote Utilization Review RNs often work for insurance companies, hospitals, or healthcare organizations, and use secure digital platforms to conduct their reviews.

What is the difference between Remote Utilization Review Rn vs Remote Case Manager Rn?

AspectRemote Utilization Review RnRemote Case Manager Rn
CertificationsRN license, Utilization Review certification (e.g., URAC)RN license, Case Management certification (e.g., CCM)
Work EnvironmentReviewing medical records, insurance policies, telehealth platformsCoordinating patient care, discharge planning, telehealth
Employer & IndustryInsurance companies, healthcare organizationsHospitals, insurance providers, healthcare agencies

Remote Utilization Review Rns primarily focus on evaluating medical necessity for insurance coverage, while Remote Case Manager Rns coordinate patient care and discharge planning. Both roles require RN licensure and involve telehealth work, but they serve different functions within healthcare and insurance industries.

What are some common challenges remote utilization review RNs face when working from home, and how can they be addressed?

Remote Utilization Review RNs often encounter challenges such as maintaining clear communication with interdisciplinary teams, managing time efficiently, and staying updated on changing payer guidelines. To address these challenges, it's important to establish consistent check-ins with team members via video or chat platforms, use digital tools to organize and prioritize caseloads, and participate in ongoing training sessions provided by employers. Adhering to a structured daily routine and leveraging available technology can help ensure productivity and high-quality reviews while working remotely.
What are popular job titles related to Remote Utilization Review Rn jobs in Buffalo, NY? For Remote Utilization Review Rn jobs in Buffalo, NY, the most frequently searched job titles are:
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Remote Utilization Review Rn jobs near you
Infographic showing various Remote Utilization Review Rn job openings in Buffalo, NY as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 6% In-person, and 94% Remote job distribution, with an average salary of $85,191 per year, or $41 per hour.

Solution Architect AI Platform Reliability & SRE (Mythos SRE)

Imagine Staffing Technology

Buffalo, NY • Remote

$55.25 - $73.50/hr

Full-time

Re-posted 9 days ago

Job description

Job Title: Solution Architect – AI Platform Reliability & SRE (Mythos SRE)
Location: Remote (Within USA)
Hire Type: Contract
Pay Range: Competitive Hourly Rate
Work Model: Remote with periodic travel to Buffalo, NY
Schedule: Monday – Friday, Standard Business Hours
Recruiter Contact: Samantha Marranca | 716-256-1271 | smarranca@imaginestaffing.net
NO C2C, NO sponsorship given at this time
Nature & Scope:
Positional Overview
Our client is seeking an experienced Solution Architect to support the reliability, scalability, observability, and operational excellence of its enterprise AI platform, Mythos. This role serves as the solution architecture extension of Enterprise Architecture and AI Platform teams, translating strategic platform designs into detailed operational architectures that enable highly available, resilient, and scalable AI services.
The Solution Architect will partner closely with Site Reliability Engineering (SRE), Platform Engineering, Infrastructure, Cloud Operations, and Application Development teams to establish architecture patterns and operational frameworks that support enterprise AI workloads across cloud and co-location environments.
This position is ideal for a hands-on architect with expertise in cloud infrastructure, platform engineering, observability, reliability engineering, and large-scale distributed systems.
Role & Responsibility:
Tasks That Will Lead To Your Success
AI Platform Reliability Architecture
  • Translate enterprise AI platform architecture into detailed operational and infrastructure solution designs.
  • Define reliability, scalability, resiliency, and availability architecture standards for AI workloads.
  • Develop architecture patterns supporting highly available and fault-tolerant AI services.
  • Support enterprise AI platform growth through scalable infrastructure and platform design.
  • Establish architecture guidance for production readiness and operational excellence.
Site Reliability Engineering & Operational Excellence
  • Define architecture patterns supporting SRE best practices across AI platforms.
  • Support implementation of Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budget frameworks.
  • Develop operational readiness standards and deployment validation processes.
  • Establish reliability engineering practices that improve system stability and performance.
  • Partner with engineering teams to improve incident prevention, detection, and response capabilities.
Scalability & Performance Optimization
  • Design solutions supporting large-scale AI workloads and model-serving environments.
  • Establish architecture patterns that optimize platform performance and resource utilization.
  • Support capacity planning and infrastructure scaling strategies.
  • Identify performance bottlenecks and recommend architectural improvements.
  • Collaborate with engineering teams to improve application and platform efficiency.
Observability & Monitoring
  • Design enterprise observability frameworks supporting AI platform operations.
  • Establish telemetry standards providing visibility into system health, model performance, operational metrics, and risk indicators.
  • Define monitoring, alerting, logging, and tracing strategies.
  • Support implementation of observability tools and telemetry platforms.
  • Ensure operational teams have actionable insights supporting platform reliability and performance.
Infrastructure & Automation
  • Develop architecture guidance for Infrastructure as Code (IaC) and platform automation.
  • Support CI/CD pipeline architecture and deployment automation strategies.
  • Establish repeatable operational patterns supporting cloud and co-location environments.
  • Promote infrastructure standardization and operational consistency.
  • Collaborate with Platform Engineering teams on automation and operational tooling initiatives.
AI Operational Governance
  • Support architecture strategies for AI model monitoring and drift detection.
  • Establish operational frameworks supporting AI governance and platform controls.
  • Define reliability patterns for embedded AI capabilities within enterprise applications.
  • Ensure platform operations align with enterprise security, compliance, and risk management standards.
Cross-Functional Collaboration
  • Partner with Enterprise Architects, Platform Engineering, Infrastructure, Security, Observability, and Development teams.
  • Participate in architecture reviews, design workshops, and Agile ceremonies.
  • Provide technical guidance throughout the SDLC from design through production deployment.
  • Validate architecture decisions and ensure adherence to enterprise reliability standards.
  • Contribute operational insights that influence future platform architecture decisions.
Skills & Experience
Qualifications That Will Help You Thrive
Required Experience
  • Bachelor’s Degree in Computer Science, Information Technology, Engineering, or related discipline.
  • 5+ years of experience in Solution Architecture, Site Reliability Engineering, Platform Engineering, DevOps, or Cloud Architecture.
  • Experience designing highly available, scalable, and resilient distributed systems.
  • Strong understanding of cloud infrastructure and platform architecture principles.
  • Experience supporting production operations and enterprise-scale technology environments.
  • Knowledge of observability, monitoring, logging, and telemetry frameworks.
  • Experience with Infrastructure as Code and deployment automation concepts.
  • Strong communication and stakeholder management skills.
Preferred Qualifications
Experience supporting AI, Machine Learning, or Generative AI platforms.
Experience with Kubernetes, container orchestration, and cloud-native technologies.
Familiarity with observability platforms such as Datadog, Dynatrace, Grafana, Prometheus, Splunk, or OpenTelemetry.
Experience implementing SLI, SLO, and error budget frameworks.
Experience with Infrastructure as Code technologies such as Terraform or CloudFormation.
Cloud certifications within Azure, AWS, or Google Cloud.
Financial services experience preferred.
Experience supporting highly regulated enterprise environments.
Team & Environment
Works closely with Enterprise Architecture, Platform Engineering, Infrastructure, SRE, Security, and Application Development teams.
Serves as a key architecture resource supporting enterprise AI platform operations.
Participates in highly collaborative Agile teams.
Provides technical leadership supporting reliability and operational excellence initiatives.
Work Schedule & Travel
Schedule
  • Monday – Friday
  • Standard business hours
  • Flexible remote work environment
Travel
  • Occasional travel to Buffalo, NY
  • Approximately every 4–6 weeks as required
Compensation & Benefits
  • Competitive hourly compensation
  • Long-term contract engagement
  • Remote work flexibility
  • Opportunity to influence enterprise-wide AI strategy and adoption
Why Join This Opportunity?
This is a unique opportunity to help build and operate next-generation AI platforms at enterprise scale. The successful candidate will play a critical role in ensuring the reliability, resilience, observability, and operational success of AI technologies that support strategic business initiatives across the organization.