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Ai Integration Engineer Jobs in Georgia (NOW HIRING)

Deloitte

Integration Engineer II

Atlanta, GA · On-site

$100K - $134K/yr

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

Deloitte

Integration Engineer II

Atlanta, GA

$100K - $134K/yr

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

Absolics Inc

Process Integration Engineer

Covington, GA · On-site

Job Title: R&D Engineer - Process Integration Location: Covington, GA Job Type: Full-Time About Us ... Familiarity with bifurcated roadmap considerations (high-performance AI/HPC vs. cost-optimized ...

Absolics Inc

Process Integration Engineer

Covington, GA · On-site

Job Title: R&D Engineer - Process Integration Location: Covington, GA Job Type: Full-Time About Us ... Familiarity with bifurcated roadmap considerations (high-performance AI/HPC vs. cost-optimized ...

Absolics Inc

Process Integration Engineer

Covington, GA · On-site

Job Title: R&D Engineer - Process Integration Location: Covington, GA Job Type: Full-Time About Us ... Familiarity with bifurcated roadmap considerations (high-performance AI/HPC vs. cost-optimized ...

Candescent

Principal AI Security Engineer

Atlanta, GA · On-site

Define and maintain secure integration patterns for third-party AI and LLM services, including API security, authentication, secrets management, and data-in-transit protections. * Establish and ...

Capitolis

Principal AI Security Engineer

Atlanta, GA · On-site

$120 - $150/hr

Role Summary We are seeking an AI Security Engineer to own the security of how we adopt and integrate third‑party artificial intelligence and large language model (LLM) services across the ...

Reply

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Senior AI Engineer, you will understand how AI is positioned to meet business objectives and ... Consulting with stakeholders to identify opportunities for AI integration, advising on best ...

US Bank

Head of AI Platform Engineering

Atlanta, GA · On-site

$173K - $223K/yr

Integrate AI into core banking systems and customer engagement platforms * Track and report on AI performance metrics (e.g., cost savings, customer satisfaction) Basic Qualifications * Significant ...

Us Bank

Head of AI Platform Engineering

Atlanta, GA · On-site

$214.79 - $252.70/hr

Integrate AI into core banking systems and customer engagement platforms * Track and report on AI performance metrics (e.g., cost savings, customer satisfaction) Basic Qualifications * Significant ...

Medlytix

QA Engineer

Roswell, GA · On-site

You'll work closely with AI Integration engineers and software developers to build robust testing strategies that handle the unique challenges of AI systems, including model validation, data quality ...

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All JobsAi Integration Engineer JobsAi Integration Engineer Jobs in Georgia

Ai Integration Engineer information

See Georgia salary details

$37.6K

$104.9K

$146.5K

How much do ai integration engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for ai integration engineer in Georgia is $104,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $118,200.00 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.
What are popular job titles related to Ai Integration Engineer jobs in Georgia? For Ai Integration Engineer jobs in Georgia, the most frequently searched job titles are:
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What cities in Georgia are hiring for Ai Integration Engineer jobs? Cities in Georgia with the most Ai Integration Engineer job openings:
Ai Integration Engineer jobs near you
Infographic showing various Ai Integration Engineer job openings in Georgia 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 $104,936 per year, or $50.5 per hour.

Java Spring Boot AI Integration Developer - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$49.75 - $64.50/hr

Full-time

Medical, Retirement, PTO

Re-posted 5 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Java Spring Boot AI Integration Developer
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a skilled Java Spring Boot AI Integration Developer to design and develop Java-based microservices with integrated AI/ML capabilities. This role focuses on leveraging Spring Boot and APIs to build intelligent applications for diverse business needs.
Key Responsibilities
  • Develop and deploy Java-based applications with integrated AI/ML models using Spring Boot.
  • Integrate AI/ML models into microservices via REST APIs, WebSockets, and event-driven architectures like Kafka.
  • Optimize scalability and performance of AI-driven applications in containerized environments (Docker, Kubernetes).
  • Collaborate with data science teams to enhance AI model performance, deployment, and lifecycle management.
  • Ensure adherence to best practices in software design, security, and scalability across API integrations.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience with Java and Spring Boot development for microservices.
  • Hands-on experience consuming AI/ML models via APIs (e.g., TensorFlow, PyTorch, OpenAI).
  • Familiarity with containerization tools such as Docker and Kubernetes.
  • Experience with RESTful APIs and event-driven systems in production environments.

Preferred Qualifications
  • Experience with Large Language Models (LLMs) or NLP frameworks like HuggingFace.
  • Knowledge of machine learning workflows and AI model lifecycle management (training, deployment, monitoring).
  • Exposure to cloud platforms (AWS, Azure, GCP) for AI deployment and microservices hosting.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
REST APIs, WebSockets, and event-driven services,Java-based AI-enabled applications,Java and Spring Boot

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