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Ai Systems Engineer Jobs in Florida (NOW HIRING)

Yzer Next

AI Engineer

Tampa, FL · On-site

Yzer is seeking an AI Systems Engineer to design, deploy and maintain the infrastructure and systems that support AI-driven applications and tools across the organization. Date Posted: August 17 2026 ...

Kids for the Future

AI Engineer

Tampa, FL · On-site

$120K - $165K/yr

This role bridges software engineering, systems architecture, and machine learning operations to ensure AI solutions are scalable, secure, and reliably integrated into existing business systems. to ...

Apex Systems

Systems Engineer

Orlando, FL · On-site

Job#: 3046015 Systems Engineer Location: Orlando, Florida (On-site) Role Overview This position is ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

Inficare Technologies

AI Engineer

Sunrise, FL · On-site

AI Engineer Location: Sunrise, FL Job Type: Contract (Long Term) Experience: 5+ years Skills ... Ensure AI systems meet enterprise standards for reliability, explainability, observability, and ...

Quvia

Systems Engineer

Miramar, FL · On-site

System Engineering Location : Miramar, FL (On-Site) About Quvia: Quvia is building the digital ... Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ...

Quvia

Systems Engineer

Miramar, FL · On-site

System Engineering Location: Miramar, FL (On-Site) About Quvia: Quvia is building the digital ... Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ...

Booz Allen Hamilton

Systems Engineer

Orlando, FL · On-site

$62K - $141K/yr

Systems Engineer The Opportunity: Are you looking for an opportunity to combine your technical ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Booz Allen Hamilton

Systems Engineer

Orlando, FL · On-site

$62K - $141K/yr

Systems Engineer The Opportunity: Are you looking for an opportunity to combine your technical ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Booz Allen Hamilton

Systems Engineer

Orlando, FL · On-site

$62K - $141K/yr

Systems Engineer The Opportunity: Are you looking for an opportunity to combine your technical ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Booz Allen Hamilton

Systems Engineer

Orlando, FL · On-site

$62K - $141K/yr

Systems Engineer The Opportunity: Are you looking for an opportunity to combine your technical ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Booz Allen Hamilton

Systems Engineer

Orlando, FL · On-site

$61K - $141K/yr

Systems Engineer The Opportunity: Are you looking for an opportunity to combine your technical ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Vaco by Highspring

Systems Engineer

Riviera Beach, FL · On-site

$45 - $50/hr

Hiring a mid-level Systems Engineer to support and clean up the company's Microsoft environment ... Submissions to this position are subject to the use of AI to perform preliminary candidate ...

CYNET SYSTEMS

Applied AI Engineer

Sunrise, FL · On-site

$50 - $55/hr

Ensure AI systems meet enterprise standards for reliability, explainability, observability, and ... Prompt engineering. * CI/CD pipelines. * Containerized deployments. Qualification And Education ...

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Ai Systems Engineer information

What is the difference between Ai Systems Engineer vs Data Scientist?

AspectAi Systems EngineerData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; certifications in AI/MLBachelor's or master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDeveloping AI systems, integrating AI solutions, working with software and hardwareAnalyzing data, building models, interpreting data insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles involve AI and machine learning, Ai Systems Engineers focus on designing and implementing AI systems and infrastructure, whereas Data Scientists primarily analyze data and develop models to extract insights. The roles often overlap but differ in their core responsibilities and work environments.

How much does an AI systems engineer make?

An AI systems engineer's salary varies based on experience, location, and industry, but typically ranges from $90,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and cloud platforms can earn higher compensation, often exceeding $180,000 per year.

What does an AI systems engineer do?

An AI systems engineer designs, develops, and maintains artificial intelligence systems and infrastructure. They work with machine learning models, data pipelines, and software tools to implement AI solutions, often requiring knowledge of programming languages, cloud platforms, and AI frameworks. Their role involves integrating AI components into larger systems and ensuring performance and scalability.

What cities in Florida are hiring for Ai Systems Engineer jobs?

Cities in Florida with the most Ai Systems Engineer job openings:

Infographic showing various Ai Systems Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

AI Engineer

Tampa, FL • On-site

Yzer Next
See more jobs at Yzer Nextexternal

Other

Posted 6 days ago

Job description

Yzer is seeking an AI Systems Engineer to design, deploy and maintain the infrastructure and systems that support AI-driven applications and tools across the organization.

Date Posted: August 17 2026

Yzer is seeking an AI Systems Engineer to design, deploy and maintain the infrastructure and systems that support AI-driven applications and tools across the organization. This role bridges software engineering, systems architecture, and machine learning operations to ensure AI solutions are scalable, secure, and reliably integrated into existing business systems.

Location: 12470 Telecom Drive Tampa FL- (Onsite) No Hybrid or Virtual available

Hours: 40 standard, however additional hours will be necessary based on customer needs. M-F 8:30AM to 5:30pm .

Requirements — what you bring:

Key Responsibilities:

Design, build, and maintain infrastructure supporting AI/ML models and applications (cloud and/or on-premise).

Integrate AI tools and platforms with existing enterprise systems (ERP, CRM, HRIS, etc.) into data lakes, data warehouses, and modern data architectures.

Monitor system performance, uptime, and scalability of AI workloads.

Collaborate with data scientists and engineers to deploy models into production environments

Implement and maintain CI/CD pipelines for AI/ML deployments (MLOps).

Ensure data security, privacy, and compliance standards are met for AI systems.

Troubleshoot and resolve technical issues related to AI system performance.

Evaluate and recommend new AI tools, platforms, and vendors.

Experience designing and developing dashboards, visualizations, and executive reporting solutions.

Document system architecture, workflows, and standard operating procedures.

Partner with IT and business stakeholders to identify opportunities for AI-driven efficiency.

  • Identify and implement AI-driven opportunities that improve productivity and decision-making.
  • Build scalable integrations between systems and data platforms.
  • Create dashboards and analytics solutions that provide operational visibility and actionable insights.
  • Translate business needs into technical solutions that streamline processes and drive measurable results.
  • Champion innovation while ensuring solutions are practical, secure, and aligned with business objectives.
Key Capabilities

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience)

3+ years of experience in systems engineering, DevOps, or infrastructure roles

Experience with cloud platforms (AWS, Azure, or GCP)

Familiarity with AI/ML frameworks (TensorFlow, PyTorch, or similar)

Proficiency in scripting/programming languages (Python, Bash, or similar)

Understanding of containerization and orchestration (Docker, Kubernetes)

  • Experience with CI/CD tools and version control (Git)
  • Experience with MLOps platforms (MLflow, Kubeflow, SageMaker, etc.)
  • Familiarity with LLM deployment and API integrations (OpenAI, Anthropic, etc.)
  • Background in data engineering or database management
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