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Remote Intelligent Systems Engineering Jobs in Florida

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

Remote / Hybrid / Onsite Department: Engineering Job Summary We are looking for a skilled AI/ML ... You will collaborate with cross-functional teams to develop intelligent applications that solve ...

Maintain a strong remote and async culture: documented decisions, productive 1:1s and retros ... system design: able to hold architecture discussions with senior engineers, challenge technical ...

... AI systems. In this role, you will evaluate, review, and refine AI-generated business content ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

... intelligent automation, and digital transformation across the Health Plan. As healthcare ... Remote: Open to applicants in the United States, excluding CA, IL, ND, NY, OH, WA, and WY. Hybrid ...

Data Quality Engineer

Jacksonville, FL · Remote

$106K - $127K/yr

Oracle database systems * Data reconciliation and data profiling techniques * Data modeling ... engineering processes. * Familiarity with AI-enabled data observability, intelligent test ...

Cyber Security SME

Orlando, FL · On-site +1

$135K - $165K/yr

Responsibilities As a Cybersecurity Engineer with AMERICAN SYSTEMS you will have an opportunity to ... REMOTE PER WEEK Qualifications * Bachelor's degree and 10 years of relevant experience in ...

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics * 6+ years of ...

Senior PLC/SCADA Engineer

FL · On-site +1

$100K - $132K/yr

About Carrier Carrier Global Corporation, global leader in intelligent climate and energy solutions ... PLC System Design & Development * Develop and maintain PLC applications utilizing Rockwell ...

Senior Agentic (AI) Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

Solid systems engineering instincts APIs, async patterns, queues, databases, distributed system ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

Solid systems engineering instincts APIs, async patterns, queues, databases, distributed system ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Senior Agentic (AI) Engineer

Miami, FL · On-site +1

$99K - $137K/yr

Solid systems engineering instincts APIs, async patterns, queues, databases, distributed system ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

Solid systems engineering instincts APIs, async patterns, queues, databases, distributed system ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Experience managing distributed or remote-first teams. * Strong background in distributed systems or event-driven architecture. * Experience contributing to organizational-level engineering process ...

Showing results 41-60

Remote Intelligent Systems Engineering information

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 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 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.

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.

How much do remote intelligent systems engineers make?

Remote intelligent systems engineers typically earn between $80,000 and $130,000 annually, depending on experience, education, and industry. Senior roles or those with specialized skills in AI, machine learning, or robotics can command higher salaries, especially with proficiency in programming languages like Python and tools such as TensorFlow or ROS.

What are the most commonly searched types of Intelligent Systems Engineering jobs in Florida?

The most popular types of Intelligent Systems Engineering jobs in Florida are:

What job categories do people searching Remote Intelligent Systems Engineering jobs in Florida look for?

The top searched job categories for Remote Intelligent Systems Engineering jobs in Florida are:

What cities in Florida are hiring for Remote Intelligent Systems Engineering jobs?

Cities in Florida with the most Remote Intelligent Systems Engineering job openings:

Principal Engineer (Fully REMOTE)

Waypoint Human Capital

Tampa, FL • On-site, Remote

Full-time

Posted 24 days ago


Job description

Position Title: Principal Engineer
Position Type: Full-time, Remote
Location: Tampa, FL (Preferred)
Clearance: (At Minimum) Secret
Travel: Approximately 10%
Waypoint's client is seeking a Principal Engineer to support U.S. Central Command (CENTCOM) initiatives focused on cybersecurity, platform engineering, automation, and AI-enabled capabilities. This senior-level role operates at the intersection of hands-on engineering, technical leadership, and program support, providing architectural guidance, engineering direction, and technical oversight across mission-critical environments.
The selected candidate will lead key technical efforts involving cybersecurity engineering, cloud and hybrid infrastructure, automation, data analytics, and emerging AI capabilities. This role requires a strong background in secure enterprise environments and experience supporting highly regulated federal, defense, or intelligence community programs.
Responsibilities:
Cybersecurity Engineering & Architecture
•Design and implement cybersecurity solutions across cloud, hybrid, and on-premises environments.
•Provide subject matter expertise in Zero Trust Architecture, Identity and Access Management (IAM), and system hardening.
•Support incident response, vulnerability management, and security operations activities.
•Ensure engineering solutions align with NIST 800-53, RMF, STIGs, FedRAMP principles, and contractual requirements.
Platform Engineering & Automation
•Develop and maintain automation tools and scripts supporting security operations and infrastructure management.
•Implement Infrastructure as Code (IaC) solutions and scalable platform architectures.
•Integrate security controls into CI/CD pipelines and DevSecOps workflows.
•Support cloud platform optimization and operational automation initiatives.
AI, Data Engineering & Analytics
•Develop and support data pipelines for security and operational analytics.
•Contribute to anomaly detection, reporting, and advanced analytics capabilities.
•Support integration of AI/ML-enabled features into cybersecurity and operational workflows.
•Leverage data-driven approaches to improve system performance and operational visibility.
Program Support & Technical Leadership
•Serve as a senior technical advisor supporting architecture and engineering decisions.
•Translate program requirements into actionable engineering tasks and technical solutions.
•Mentor junior engineers and provide technical leadership across project teams.
•Collaborate with program managers, stakeholders, and technical teams to drive successful delivery execution.
Operational Support & Continuous Improvement
•Analyze system performance, security metrics, and operational data to identify risks and improvement opportunities.
•Maintain technical documentation and support compliance audits and assessments.
•Identify operational inefficiencies and contribute to corrective actions and process improvements.
Required:
•U.S. Citizenship
•Bachelor's degree in Cybersecurity, Computer Science, Engineering, or related technical field (or equivalent experience)
•10+ years of experience in cybersecurity, information security, or systems engineering
•3-5 years of experience in a senior, lead, principal, or technical leadership role
•Strong experience securing enterprise systems in DoD, Federal Civilian, or Intelligence Community environments
•Experience implementing and supporting NIST 800-53, RMF, STIGs, FedRAMP controls, and compliance frameworks
•Experience supporting Authority to Operate (ATO), system accreditation, and audit activities
•Experience with Identity and Access Management (IAM), Zero Trust Architecture, and enterprise security controls
•Experience with cloud security architectures and cloud-native security services
•Experience supporting automation, Infrastructure as Code (IaC), and DevSecOps initiatives
•Familiarity with FAR/DFARS requirements and Controlled Unclassified Information (CUI) handling requirements
•AWS Security Specialty, Azure SC-100, or equivalent cloud security certification
•One or more of the following certifications: CISSP, CISM, GCIH, OSCP, GIAC, or equivalent
Desired:
•Master's degree in Cybersecurity, Computer Science, Engineering, or related field
•Experience supporting DoD, DHS, Intelligence Community (IC), Special Operations Forces (SOF), or Combatant Command programs
•Experience with DevSecOps pipelines, CI/CD automation, and Infrastructure as Code technologies
•Experience supporting continuous monitoring and audit readiness programs within RMF environments
•Experience with AI/ML integration, security analytics, and data engineering initiatives
•Familiarity with Virtual Desktop Infrastructure (VDI) environments
•Experience coordinating technical efforts across multiple programs and organizations
•Experience supporting cloud platforms such as AWS and Azure in highly regulated environments
•Experience influencing enterprise architecture decisions and technical modernization efforts within large-scale federal programs