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Ai Integration Engineer Jobs in Florida (NOW HIRING)

Kubikware

AI Engineer (Latam, Remote)

Aventura, FL · On-site +1

Claude AI and LLM integrations * n8n for workflow automation and orchestration * Replit for rapid ... Strong understanding of prompt engineering and AI tool orchestration * Experience developing ...

Kubikware

AI Engineer (Latam, Remote)

Miami, FL · Remote

Claude AI and LLM integrations * n8n for workflow automation and orchestration * Replit for rapid ... Strong understanding of prompt engineering and AI tool orchestration * Experience developing ...

MaintainX

Integration Developer

Miami, FL · On-site

$150/day

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 14 ... The Integration Developer plays a critical role in our post-sales team by collaborating closely ...

Deloitte

Guidewire Integration Developer

Tampa, FL · On-site

Join Deloitte's AI & Engineering practice, where we help organizations modernize technology ... Designing, building, and supporting integrations between Guidewire and enterprise platforms ...

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Showing results 21-40

All JobsAi Integration Engineer JobsAi Integration Engineer Jobs in Florida

Ai Integration Engineer information

See Florida salary details

$33.3K

$92.9K

$129.7K

How much do ai integration engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for ai integration engineer in Florida is $92,870.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,700.00 and $104,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by AI integration engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

What are the key skills and qualifications needed to thrive as an AI integration engineer, and why are they important?

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

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

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

What is an AI integration engineer?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.
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What cities in Florida are hiring for Ai Integration Engineer jobs? Cities in Florida with the most Ai Integration Engineer job openings:
Ai Integration Engineer jobs near you
Infographic showing various Ai Integration Engineer job openings in Florida as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $92,870 per year, or $44.6 per hour.

Software/Integration Engineer - Melbourne, FL - Active TS/SCI Cl with Security Clearance

SOC/Day & Zimmermann Federal Services

Melbourne, FL • On-site

$68/hr

Contractor

Posted yesterday

New

Job description

Software/Integration Engineer needed for a Contract-to-hire opportunity with SOC's client to work onsite in Melbourne, FL. *Candidates must have an active TS/SCI clearance to be considered for this role. Job Description: We are seeking a talented and cleared Software/Integration Engineer to support software integration, deployment, testing, and troubleshooting efforts within a Linux-based environment. The ideal candidate brings strong hands-on experience with Python, JavaScript or Java, Docker, and CI/CD pipelines, and demonstrates the ability to collaborate effectively across software and infrastructure teams. Familiarity with AI-assisted development tools is expected. Candidates must hold an active TS/SCI clearance and CompTIA Security+ certification or equivalent within 90 days of being hired. This position may also require occasional travel to Patrick Space Force Base. Key Responsibilities: •Leverage experience in cloud development with a strong preference for expertise in Amazon Web Services (AWS) to build robust cloud-based applications. •Demonstrate familiarity with the C2S Access Portal (CAP) and high-side AWS environments, which is highly desired for this role. •Ensure that the applications are scalable, secure, and cost-effective by utilizing the best practices and services provided by AWS. •Engage in daily interactions with customers to understand their requirements and provide suitable cloud-based solutions. •Prepare architectural designs, implementation plans, and technical roadmaps that align with organizational and mission goals. •Produce detailed documentation to support the design, development, and deployment processes, ensuring clarity and reproducibility. •Adapt to support various mission areas, demonstrating flexibility and a strong commitment to achieving mission success. Qualifications: •Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. •Active TS/SCI clearance. •Security+ Certification or any DOD IAT Level II Certification within 90 days of being hired. Preferred Experience: •Experience with AI-assisted development tools. •Experience working in a dynamic team environment. •Experience working with full stack web development. •Cloud development experience with a strong preference for expertise in •Amazon Web Services (AWS). •Experience with the C2S Access Portal (CAP) and high-side AWS environments is highly desired. •Substantive experience in designing, developing, and deploying cloud-based applications using AWS services. Preferred Additional Skills: •Prior field experience. •Experience with AI-assisted development tools. •Experience working in a dynamic team environment. •Experience working with full stack web development. •Cloud development experience with a strong preference for expertise in Amazon Web Services (AWS). •Experience with the C2S Access Portal (CAP) and high-side AWS environments is highly desired. •Substantive experience in designing, developing, and deploying cloud-based applications using AWS services. Employment Prerequisites The following requirements must be met to be eligible for this position: successful completion of a background investigation and drug urinalysis. SOC, a Day & Zimmermann company, is an Equal Opportunity Employer, EOE AA M/F/Vet/Disability. Note: Any pay ranges displayed are estimations, which may have been provided by job boards. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Estimated Min Rate: $47.60 Estimated Max Rate: $68.00 #INDSOC

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