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Aircraft Maintenance Controller Remote Jobs in Raleigh, NC

ABB

Senior Quality Specialist

Cary, NC · Remote

$84K - $116K/yr

While this is a remote position, successful candidates will be in the Mebane, NC area. This role is ... actions, supervising and controlling progress, and driving continuous process improvement.

Aprio

Affordable Housing Senior Tax Manager

Raleigh, NC · On-site +1

$125K - $228K/yr

... controlled group structures * Understands the required technical reporting on tax returns including ... Exceptional communication and leadership skills, with the ability to build and maintain client ...

ABB

VFD Technical Support Specialist

Cary, NC · Remote

Maintain detailed documentation of support cases, solutions, and best practices using Salesforce ... logic controllers (PLC). With its products, global scale and local presence, the Division helps ...

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Aircraft Maintenance Controller Remote information

See Raleigh, NC salary details

$11

$38

$46

How much do aircraft maintenance controller remote jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for aircraft maintenance controller remote in Raleigh, NC is $38.83, according to ZipRecruiter salary data. Most workers in this role earn between $33.89 and $43.22 per hour, depending on experience, location, and employer.

What does an aircraft maintenance controller remote do?

An Aircraft Maintenance Controller Remote oversees and coordinates aircraft maintenance activities from a remote location, ensuring that all maintenance tasks are completed efficiently and in compliance with safety regulations. They communicate with on-site maintenance teams, track aircraft status, and troubleshoot technical issues to minimize downtime. Their role is crucial for maintaining aircraft safety and reliability, even when not physically present at the maintenance site. They often use specialized software and communication tools to monitor and manage maintenance operations across different locations.

What are the key skills and qualifications needed to thrive as an aircraft maintenance controller remote?

To thrive as an Aircraft Maintenance Controller Remote, you need in-depth knowledge of aircraft systems, maintenance procedures, FAA regulations, and typically an FAA Airframe and Powerplant (A&P) certification or equivalent experience. Familiarity with maintenance tracking systems, computerized maintenance management software (CMMS), and remote communication tools is also essential. Strong analytical thinking, attention to detail, and clear communication skills are vital for coordinating with technical teams and ensuring regulatory compliance. These skills and qualifications are crucial to minimize aircraft downtime, maintain safety standards, and efficiently resolve maintenance issues from a remote setting.

What are some common challenges faced by remote aircraft maintenance controllers, and how can they be managed effectively?

Remote Aircraft Maintenance Controllers often face challenges such as coordinating repairs and troubleshooting with on-site teams across different locations and time zones. Effective communication is crucial, as is the ability to quickly interpret technical data and relay clear instructions. Utilizing advanced maintenance tracking systems and building strong relationships with both maintenance crews and flight operations teams can help manage these challenges. Staying organized and proactive in monitoring scheduled and unscheduled maintenance also ensures minimal disruption to aircraft availability.

What is the difference between Aircraft Maintenance Controller Remote vs Aircraft Maintenance Planner?

AspectAircraft Maintenance Controller RemoteAircraft Maintenance Planner
CertificationsRelevant certifications like FAA A&P or equivalentSimilar certifications, often including FAA A&P or equivalent
Work EnvironmentRemote, often office-based with access to maintenance systemsPrimarily office-based, coordinating maintenance schedules
Industry UsageUsed by airlines, maintenance providers, and aerospace companiesUsed by airlines, MROs, and aerospace organizations

Both roles require similar certifications and are used in the same industry environments. The Aircraft Maintenance Controller Remote focuses on overseeing maintenance operations remotely, ensuring compliance and safety, while the Aircraft Maintenance Planner concentrates on scheduling and planning maintenance activities. Both positions are essential for efficient aircraft maintenance management.

What are popular job titles related to Aircraft Maintenance Controller Remote jobs in Raleigh, NC?

For Aircraft Maintenance Controller Remote jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Aircraft Maintenance Controller Remote jobs in Raleigh, NC look for?

The top searched job categories for Aircraft Maintenance Controller Remote jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Aircraft Maintenance Controller Remote jobs?

Cities near Raleigh, NC with the most Aircraft Maintenance Controller Remote job openings:

Aircraft Maintenance Controller Remote jobs near you
Infographic showing various Aircraft Maintenance Controller Remote job openings in Raleigh, NC as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% Remote job distribution, with an average salary of $80,776 per year, or $38.8 per hour.

AI Platform Director - Data Engineering

Raleigh, NC • On-site, Remote

First Citizens Bank
See more jobs at First Citizens Bankexternal

$245K/yr

Full-time

Re-posted 22 days ago

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

108th of 176 rated banks

Job description

Overview

This is a remote role that may only be hired in the following location(s): North Carolina or Arizona

We are seeking an experienced Director to lead the AI platform engineering and enablement functions within our expanding Cloud Data and AI Platform organization. This role is instrumental in building, operationalizing, and governing the next-generation AI and machine learning ecosystem that powers advanced analytics and responsible AI adoption across the bank. You will own the end-to-end AI lifecycle—from data and model development to MLOps, deployment, governance, and responsible AI compliance in a regulated financial environment.

As a seasoned technology leader, you will bring your expertise in enterprise AI architecture, model operations, and platform engineering to partner with key business, technology, and governance stakeholders—ensuring AI initiatives are responsibly implemented, well-controlled, and deliver measurable value. 


Responsibilities & Qualifications

AWS AI/ML Platform Ownership

  • Architect and lead AI/ML workloads on AWS including:
    • Amazon SageMaker (training, deployment, model registry)
    • AWS Bedrock (foundation models and GenAI use cases)
    • AWS Lambda, ECS, EKS for model serving
    • S3, Glue, Snowflake for data pipelines
  • Define enterprise standards for MLOps, feature stores, and model lifecycle management
  • Build and maintain integrations with enterprise platforms for data ingestion, metadata management, tokenization, and control evidence generation. 
  • Continuously enhance the platform’s automation, resilience, and observability, ensuring robust end-to-end telemetry for both model and data pipelines. 
  • Collaborate with Enterprise Risk, Legal, Compliance, and Model Risk partners to embed Responsible AI principles and audit-ready control evidence directly into platform design. 

Machine Learning & GenAI Execution

  • Oversee development of ML models across all business units including Fraud detection systems, Credit scoring and risk modeling, Customer segmentation and personalization, Liquidity related modeling etc.
  • Lead GenAI initiatives using LLMs for Document intelligence, AI copilots etc.

 

Data & Engineering Collaboration

  • Partner with data engineering teams to ensure high-quality, governed datasets
  • Define feature engineering and data product standards in Snowflake / data lake environments
  • Integrate real-time streaming data for low-latency decision systems

 

Model Governance & Risk Compliance

  • Define and enforce standards, patterns, and guardrails for model deployment, explainability, lineage, and monitoring in alignment with enterprise risk, compliance, and security frameworks. 
  • Partner closely with leaders across Responsible AI Governance, AI Portfolio Management, AI Fluency & Engagement, and Applied Data Science & GenAI, in collaboration with enterprise risk partners, to implement a responsible AI framework that embeds audit-ready control evidence and governance mechanisms directly into the platform’s core design to ensure the platform supports scalable, ethical, compliant, and high-impact AI delivery. 
  • Implement model explainability (SHAP, LIME, interpretability frameworks)
  • Establish responsible AI policies (bias detection, fairness, auditability)

 

Team Building & Leadership

  • Develop and mentor engineering talent, championing Agile practices, continuous learning, and adoption of emerging AI and data engineering technologies. 
  • Mentor senior technical leaders and establish engineering best practices
  • Oversee technical due diligence, onboarding, and management of strategic AI and GenAI vendors and tools, ensuring compatibility with enterprise architecture and control.

Bachelor's Degree and 8 years of experience in Information Technology including application development, support roles, and management.

OR

High School Diploma or GED and 12 years of experience in Information Technology including application development, support roles, and management.

Qualifications

  • Deep hands-on experience building production ML systems on AWS
  • 2+ years in AI/ML, data science, or data engineering leadership roles
  • Strong knowledge of:
    • Machine learning (XGBoost, deep learning, NLP, time series)
    • MLOps practices (CI/CD, model monitoring, drift detection)
    • Distributed systems and cloud architecture
  • Strong programming background in Python + SQL (Scala/Java a plus)
  • Experience working in regulated environments with model governance

Preferred Qualifications

  • Experience with Generative AI / LLM platforms (Bedrock, OpenAI, Claude APIs)
  • Experience in financial services, banking, fintech, or insurance
  • Familiarity with data platforms like Snowflake, Databricks

#LI-JM1


Additional Information

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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