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Ai Integration Engineer Jobs in Altamonte Springs, FL

AI Engineer Job Location: Lake Mary, FL (3 Days Onsite) Job Type: Contract Need 11+ Years of ... Testing (unit, integration) * Debugging complex distributed system * LLM Fundamentals * Prompt ...

Build application components across the front end, service tier, APIs, integrations, automation ... AI use. * Support citizen developers and solution owners by establishing guardrails, providing ...

Integrate AI tools into the systems teams already use -- email, project management, CRM, ... Programming knowledge in Python, JavaScript, .NET, Semantic Kernel SDK, and SQL Server, with ...

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Ai Integration Engineer information

See Altamonte Springs, FL salary details

$41.6K

$116.2K

$162.2K

How much do ai integration engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for ai integration engineer in Altamonte Springs, FL is $116,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $130,900.00 per year, depending on experience, location, and employer.

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.

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.

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.

What are popular job titles related to Ai Integration Engineer jobs in Altamonte Springs, FL?

For Ai Integration Engineer jobs in Altamonte Springs, FL, the most frequently searched job titles are:

What job categories do people searching Ai Integration Engineer jobs in Altamonte Springs, FL look for?

The top searched job categories for Ai Integration Engineer jobs in Altamonte Springs, FL are:

What cities near Altamonte Springs, FL are hiring for Ai Integration Engineer jobs?

Cities near Altamonte Springs, FL with the most Ai Integration Engineer job openings:

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

By Light Professional IT Services LLC readies warfighters and federal agencies with technology and systems engineered to connect, protect, and prepare individuals and teams for whatever comes next. Headquartered in McLean, VA, By Light supports defense, civilian, and commercial IT customers worldwide. 

Cole Engineering Services (CESI), a By Light company, is recognized as a premier provider of modeling and simulation (M&S) training solutions to the Federal Government and industry. Since 2004, CESI has been at the forefront of developing, maintaining, and integrating simulation-based training, serious gaming, technical services, training and other support in live, virtual, constructive, and gaming (LVCG) domains.  CESI also designs, builds and runs infrastructure, platforms, applications and processes that enable cyber training for the integrated multi-domain force. Our vision is to become a worldwide full spectrum LVCG and cyber training/analysis developer, integrator and services provider.

#sofweek


As an AI Software Engineer, you will be actively involved with the full software and machine learning lifecycle. You will be expected to support requirements analysis, conduct trade studies for model and framework selection, present AI design architectures, and implement solutions utilizing techniques like Retrieval-Augmented Generation (RAG) and model training or fine-tuning.

Solutions will be created from established requirements using robust engineering processes tailored for AI in production systems. This process will guide the selection, development, and evaluation of foundational models, AI agent platforms, and orchestration frameworks. Additionally, you must be able to independently complete detailed design and development work for individual AI components, establishing robust agent context and memory management capabilities.

Once individually developed, these components must seamlessly integrate into the broader products, frequently requiring integration with vector databases at the subsystem level. Following strict software and ML engineering standards is crucial for building reliable systems, particularly when applying advanced logic like reinforcement learning techniques. Comprehensive documentation of model behavior, integration points, and system architecture is expected throughout the entire effort.

You must also maintain a clear understanding of the project schedule and budget, ensuring all tasks—from initial model evaluation to production deployment—stay on track. Finally, as a senior member of the team, you may be responsible for providing technical oversight on AI integration to the broader development team and communicating directly with the customer to ensure AI capabilities align with their operational needs.


  • Bachelor’s degree in a technical discipline such as electrical engineering, computer science, information technology, systems or software engineering from an accredited college or university.
  • 5+ years of experience designing and developing software modules for integration into large-scale systems and networks.
  • Experience with software/hardware analysis and design, performance analysis, configuration and data management, quality assurance, and specification definition.
  • Must be able to adhere to robust technical specifications and work both independently and as a member of a software development team.

  • Proficiency with AI coding assistants and/or experience developing production-grade AI/ML agents.

Please note that pursuant to a government contract, this specific position requires U. S. Citizenship status with ability to obtain a TOP SECRET security clearance   Security Clearance requirements will be specified in the Government's Task Order.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. The above is intended to describe the general contents of and requirements for the performance of this job.


CESI recognizes that our strength is our people. We support every employee as an individual to build strong teams across the enterprise.  Our benefit package includes:

  • Medical, Dental & Vision Coverage
  • Wellness Program
  • 401(k) Matching
  • Disability (Short Term & Long Term)
  • Employee Assistance Program
  • Life Insurance
  • Education & Training
  • Generous Leave Policy (11 Federal Holidays, PTO, Military Leave, Bereavement and Jury Duty)

Cole Engineering Services, Inc. is an equal opportunity employer. We consider qualified applicants without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, political affiliation, age, marital status, disability, genetic information, veteran status, membership in an employee organization, or any other basis prohibited by federal, state, or local laws.