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Ai Integration Jobs in Florida (NOW HIRING)

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Ai Integration information

See Florida salary details

$16.1K

$88.2K

$127.8K

How much do ai integration jobs pay per year?

As of Sep 7, 2026, the average yearly pay for ai integration in Florida is $88,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $109,500.00 per year, depending on experience, location, and employer.

What is AI integration?

AI integration refers to the process of incorporating artificial intelligence technologies into existing systems, applications, or business processes to enhance automation, improve decision-making, and optimize performance. This can involve connecting AI models, such as machine learning algorithms or natural language processing tools, with software platforms, databases, or workflows. The goal is to enable systems to analyze data, learn from patterns, and perform tasks that traditionally required human intelligence. AI integration can benefit a wide range of industries, including healthcare, finance, manufacturing, and customer service.

What are some common challenges faced when integrating AI solutions into existing business processes?

One of the most common challenges in AI integration is ensuring that new AI tools seamlessly interact with legacy systems and data formats. Team members often need to address data quality issues, adapt workflows, and manage stakeholder expectations regarding the capabilities and limitations of AI. Collaboration with IT, operations, and business units is essential to customize solutions and ensure user adoption. Additionally, ongoing monitoring and retraining of AI models is necessary to maintain performance and align with evolving business goals.

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

To excel as an AI Integration Specialist, you need a solid background in computer science, proficiency in programming languages (such as Python), and experience with machine learning frameworks, often supported by a relevant degree or certifications. Familiarity with cloud platforms (like AWS, Azure, or Google Cloud), APIs, and integration tools is typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams make someone stand out in this role. These competencies are crucial for successfully implementing AI solutions that align with business needs and ensuring seamless system interoperability.

What is the difference between Ai Integration vs Data Analyst?

AspectAi IntegrationData Analyst
Required CredentialsBachelor's in Computer Science, Engineering, or related fields; knowledge of AI/ML toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, AI development teams, software firmsBusiness, finance, healthcare, and other industries analyzing data
Employer & Industry UsageDeveloping AI solutions, integrating AI into productsInterpreting data, generating reports, supporting decision-making

While Ai Integration specialists focus on implementing AI systems and integrating AI technologies into applications, Data Analysts interpret data to provide insights and support business decisions. Both roles require analytical skills, but Ai Integration emphasizes technical development and system integration, whereas Data Analysts focus on data interpretation and reporting.

How to get into AI integration?

To pursue a career in AI integration, develop skills in programming languages like Python, understand machine learning frameworks, and gain experience with AI tools and APIs. Earning relevant certifications and working on projects that demonstrate AI implementation can improve job prospects.

What cities in Florida are hiring for Ai Integration jobs?

Cities in Florida with the most Ai Integration job openings:

Infographic showing various Ai Integration job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $88,170 per year, or $42.4 per hour.

Data & AI Integration Engineer - Mid-Level

Peraton

Melbourne, FL • On-site

$86K - $138K/yr

Full-time

Re-posted 20 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

52nd of 226 rated it services


Job description

Responsibilities

Peraton is seeking a skilled and motivated Lead Data & AI Analyst / Engineer to join our organization to support Peraton corporate data and AI knowledge strategy. You will serve as a technical lead and subject matter expert, collaborating closely with corporate stakeholders, data architects, and cross-functional teams to deliver high-quality, secure, and data and knowledge products that further Peraton corporate growth and business acquisition processes.  This mid-level role is responsible for planning, coordinating, and managing the AI data foundation that powers Peraton's AI adoption initiatives - ensuring that the right data is available, governed, trusted, and accessible for the right analytical and AI-driven purposes.

Key Responsibilities:

Data Planning & Architecture

  • Define, document and maintain the AI and data requirements and quality standards for Corporate Growth & Business Operations - both structured and unstructured data
  • Define and document data domain models, entity relationships, and data flow diagrams across source systems (CRM, ERP, HRIS, proposal repositories, contract vehicles)
  • Work within the CIO-managed data catalog to ensure Growth & Business Operations data assets are properly inventoried, normalized, classified, tagged by domain and sensitivity, and discoverable by authorized AI consumers
  • Participate in enterprise data governance forums and represent the AI and data requirements, priorities on CIO managed data assets.
  • Partner with the CIO office to define and enforce data quality standards - including completeness, accuracy, timeliness, and consistency scoring - for data assets feeding AI workflows

Data Integration, Engineering & Pipeline Development

  • Develop and manage AI-specific data pipelines to CIO managed lakehouse/warehouse environments
  • Collaborate with IRAD engineers to integrate data pipelines into the broader AI platform infrastructure
  • Coordinate with the CIO office to define data access patterns, API contracts, and export/query interfaces that allow AI workloads to consume enterprise data efficiently and securely
  • Implement data versioning and lineage tracking at the AI consumption layer to ensure full traceability from CIO-managed source to AI-generated output
Qualifications

Required Qualifications:

  • Bachelor's degree in computer science, Data Science, Information Systems, Mathematics, Statistics, Engineering, or a closely related field
  • 5-7 years of progressive, hands-on experience in data analytics, data engineering, or a closely related discipline
  • Demonstrated experience delivering data solutions in support of government, defense, or large-scale enterprise programs
  • SQL & Databases: Strong command of SQL and experience with relational databases (e.g., PostgreSQL, Microsoft SQL Server)
  • ETL / ELT Pipelines: Hands-on experience designing and implementing data pipelines using tools such as Apache Airflow, Informatica, Talend, dbt, or equivalent
  • Cloud Platforms: Experience with AWS, Microsoft Azure, including managed data services (Azure Synapse, BigQuery)
  • BI & Visualization: Proficiency with Power BI, Alteryx, or equivalent business intelligence tools
  • Data Warehousing: Familiarity with data warehousing concepts, dimensional modeling, and data lake architecture (ADLS, ADF)
  • Must be a US citizen willing to obtain and maintain a TS/SCI security clearance

Desired Qualifications:

  • Experience navigating shared infrastructure models - consuming centrally managed data platforms without owning the underlying infrastructure
  • Prior experience working with or alongside a CIO office or enterprise IT governance function in a consumer/integrator capacity
  • Knowledge of NIST AI Risk Management Framework (AI RMF) and its data-related implications
  • Relevant certifications: Microsoft Certified: Azure Data Engineer Associate, dbt Certified Developer, CDMP (Certified Data Management Professional), or equivalent
  • Active TS/SCI security clearance
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017