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Remote Intelligent Systems Engineering Jobs in Arizona

Relativity

Principal Applied Scientist

Phoenix, AZ · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... We are responsible for designing, validating, and operating the intelligent systems behind ...

Viasat, Inc.

Senior RF Space Systems Engineer

Tempe, AZ · On-site +1

$176K - $264K/yr

... remote sensing, and much more. The S3 team is primarily composed of a small group of highly skilled ... Strong understanding of systems engineering analysis including requirements definition and flow ...

Viasat, Inc.

Senior RF Space Systems Engineer

Tempe, AZ · On-site +1

$176K - $264K/yr

... remote sensing, and much more. The S3 team is primarily composed of a small group of highly skilled ... Strong understanding of systems engineering analysis including requirements definition and flow ...

Insight

Sr. Systems Engineer

Chandler, AZ · On-site +1

$135K - $145K/yr

This is a remote work opportunity Salary: $135,000.00 - $145,000.00 Insight at a Glance * 14,000 ... intelligent edge, we guide organizations through complex digital decisions. About the role The Sr. ...

The State of Arizona

Systems/Network Engineer

Phoenix, AZ · On-site +1

$85K - $95K/yr

All work, including remote work, should be performed within Arizona unless an exception is properly ... Bachelor's degree or 8 years of extensive experience in systems engineering (or equivalent ...

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Remote Intelligent Systems Engineering information

What is the difference between Remote Intelligent Systems Engineering vs Remote Robotics Engineering?

AspectRemote Intelligent Systems EngineeringRemote Robotics Engineering
Required CredentialsBachelor's/Master's in Engineering, Computer Science, or related fields; knowledge of AI, machine learning, and systems integrationBachelor's/Master's in Mechanical, Electrical, or Robotics Engineering; knowledge of control systems, sensors, and automation
Work EnvironmentPrimarily software-focused, designing and developing intelligent systems remotelyCombination of software and hardware tasks, often involving remote collaboration on robotic systems
Industry UsageUsed across AI, automation, and software development companiesCommon in manufacturing, automation, and research institutions

Remote Intelligent Systems Engineering focuses on designing and developing software-driven intelligent systems, while Remote Robotics Engineering emphasizes both hardware and software aspects of robotic systems. Both roles require technical expertise and are prevalent in tech and industrial sectors, but they differ mainly in their focus on software versus hardware components.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software, systems, or hardware engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High-paying roles often require expertise in areas like artificial intelligence, cybersecurity, or cloud infrastructure, along with relevant certifications and a strong track record of project management.

What are the key skills and qualifications needed to thrive as a Remote Intelligent Systems Engineer, and why are they important?

To thrive as a Remote Intelligent Systems Engineer, you need a strong background in systems engineering, programming (such as Python, C++, or Java), and AI/machine learning principles, often supported by a relevant degree in engineering or computer science. Familiarity with tools like MATLAB, TensorFlow, ROS (Robot Operating System), and cloud-based platforms is typically required, along with certifications in AI or systems engineering. Strong problem-solving abilities, communication skills, and self-motivation are essential soft skills for remote collaboration and project success. These qualifications and skills are crucial for designing, implementing, and maintaining complex intelligent systems while effectively collaborating with distributed teams.

Can you work remotely as an AI engineer?

Remote work is common for AI engineers, including those specializing in intelligent systems, as many companies offer flexible or fully remote positions. Success in remote roles often requires strong communication skills, proficiency with collaboration tools, and the ability to work independently on complex projects. However, some positions may require occasional on-site visits or specific hardware access.

What are some common challenges faced by professionals in Remote Intelligent Systems Engineering, and how can they be addressed?

Professionals in Remote Intelligent Systems Engineering often encounter challenges such as coordinating with distributed teams across different time zones, ensuring secure and reliable remote system operations, and maintaining effective communication during troubleshooting or system updates. To address these issues, engineers typically rely on robust collaboration tools, establish clear communication protocols, and schedule regular virtual meetings. Additionally, staying updated on best practices for cybersecurity and remote monitoring helps ensure smooth operation and rapid response to potential issues.

What is Remote Intelligent Systems Engineering?

Remote Intelligent Systems Engineering refers to the design, development, and maintenance of intelligent systems—such as AI-driven automation, robotics, or smart devices—while working from a remote location. Professionals in this field use advanced technologies to create systems that can perceive, learn, and make decisions, often collaborating with team members and clients virtually. This role typically requires expertise in artificial intelligence, machine learning, software engineering, and remote collaboration tools. The flexibility of remote work allows engineers to contribute to complex projects from anywhere, making it a popular choice in today's global tech industry.

What is an intelligent systems engineering salary?

The salary for an intelligent systems engineer typically ranges from $80,000 to $130,000 annually, depending on experience, education, and location. Professionals in this field often have skills in machine learning, robotics, and software development, with higher salaries generally associated with advanced certifications and expertise in AI tools.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or systems engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes base salary, bonuses, and stock options, particularly in technology companies or industries with high demand for technical expertise.
What are the most commonly searched types of Intelligent Systems Engineering jobs in Arizona? The most popular types of Intelligent Systems Engineering jobs in Arizona are:
What are popular job titles related to Remote Intelligent Systems Engineering jobs in Arizona? For Remote Intelligent Systems Engineering jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Intelligent Systems Engineering jobs in Arizona look for? The top searched job categories for Remote Intelligent Systems Engineering jobs in Arizona are:
What cities in Arizona are hiring for Remote Intelligent Systems Engineering jobs? Cities in Arizona with the most Remote Intelligent Systems Engineering job openings:
Remote Intelligent Systems Engineering jobs near you

AI Engineer - GenAI, MLOps & Cloud Platforms - AIRLHV

NavitasPartners

Mesa, AZ • On-site, Remote

$55.25 - $74/hr

Other

Posted 23 days ago

Job description

AI Engineer - GenAI, MLOps & Cloud Platforms 

Location: US / Canada (Remote/Hybrid) 
Type: Contract / Full-Time 

Overview: 

Join a high-impact team delivering enterprise AI solutions. This role emphasizes building intelligent systems using modern ML, GenAI, and cloud-native technologies. 

Key Responsibilities: 

  • Develop and operationalize machine learning and GenAI models  
  • Build scalable data and model pipelines using cloud technologies  
  • Partner with cross-functional teams to deliver AI-driven insights  
  • Ensure scalability, performance, and governance of AI systems  

Required Skills: 

  • Hands-on experience in ML engineering, MLOps, and model lifecycle management  
  • Strong programming skills in Python and ML frameworks  
  • Experience with cloud ecosystems (AWS, Azure, GCP)  
  • Knowledge of distributed data processing and integration  

Nice to Have / Coverage: 

  • Experience with Databricks, Snowflake, or BigQuery for data engineering workflows  
  • Familiarity with LangChain and agent-based AI systems  
  • Exposure to enterprise AI governance and compliance standards  
  • Experience collaborating with cloud/data platform architects  

For more details reach at resumes@navitassols.com.

Apply