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Ai Integration Engineer Jobs in Georgia (NOW HIRING)

corpay

Senior AI Integration Engineer - Contract

Atlanta, GA · On-site

$100K - $134K/yr

What We Need Corpay is seeking a Senior AI Integration Software Engineer within our Data & Analytics organization to design, build, and expand the integration framework connecting Large Language ...

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Deloitte

Integration Engineer II- AI & Engineering

Atlanta, GA · Hybrid

$100K - $134K/yr

Integration Engineer II- AI & Engineering Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You ...

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 ...

Reply

Senior AI Engineer

Atlanta, GA

$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

$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 ...

Amcor plc

AI Innovation Engineer

Atlanta, GA · On-site

... Engineer is responsible for defining, designing, and prototyping AI-enabled products, applications ... Integrate development of scalable AI solutions using Azure, Microsoft Fabric, LLMs, AI agents, APIs ...

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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 Jul 30, 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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position such as an AI executive, senior machine learning engineer, or AI research director that offers a total compensation package including salary, bonuses, and stock options. These roles usually require advanced skills in AI, deep learning, and data science, along with extensive experience and often involve leadership responsibilities in innovative technology companies.

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 does an AI integration engineer do?

An AI integration engineer designs and implements systems that incorporate artificial intelligence into existing software or hardware platforms. They work with machine learning models, APIs, and data pipelines to ensure seamless integration, often using programming languages like Python and tools such as cloud services. Their role involves testing, troubleshooting, and optimizing AI components for reliable performance within broader applications.

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.

Are AI engineers highly paid?

AI integration engineers are generally well-paid due to the high demand for expertise in artificial intelligence, machine learning, and data analysis. Salaries vary based on experience, location, and industry, but they tend to be above average compared to many other engineering roles. Advanced skills in programming, neural networks, and cloud platforms can further increase earning potential.

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 engineer makes 500,000 a year?

Highly experienced AI Integration Engineers working in senior or specialized roles at large technology companies can earn salaries approaching or exceeding $500,000 annually, especially when including bonuses and stock options. Such compensation typically requires advanced skills in machine learning, software development, and cloud platforms, along with extensive industry experience and a strong track record of successful projects.

What are AI Integration Engineers?

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 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:
What job categories do people searching Ai Integration Engineer jobs in Georgia look for? The top searched job categories for Ai Integration Engineer jobs in Georgia are:
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 July 2026, with employment types broken down into 74% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $104,936 per year, or $50.5 per hour.

Senior AI Integration Engineer - Contract

corpay

Atlanta, GA

$100K - $134K/yr

Other

Posted 3 days ago

New

Corpay rating

7.4

Company rating: 7.4 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

13th of 21 rated payment service providers

Job description

What We Need

Corpay is seeking a Senior AI Integration Software Engineer within our Data & Analytics organization to design, build, and expand the integration framework connecting Large Language Models (LLMs) with Corpay's data and analytics ecosystem. This position falls within our Corporate Payments line of Business and will be based out of our Buckhead, GA office. Reporting directly to the Data Architect, this role will be responsible for developing and evolving a C#/.NET-based Model Context Protocol (MCP) and API connectivity framework that enables secure, scalable, and governed interactions between AI platforms and Corpay's Microsoft Fabric environment, including semantic models, data warehouses, and curated analytical datasets. This position sits at the intersection of software engineering, AI enablement, platform architecture, and data integration. The ideal candidate will possess deep expertise in C#/.NET development, API architecture, MCP implementation patterns, and modern LLM ecosystems including OpenAI ChatGPT and Anthropic Claude. Success in this role requires a strong engineering mindset, the ability to solve complex integration challenges, and a passion for enabling practical AI capabilities across the business.

How We Work

As a Senior AI Integration Engineer, Corpay will set you up for success by providing: 

  • Assigned workspace in our Buckhead office
  • Company-issued equipment 
Role Responsibilities

The responsibilities of the role will include:

  • Designing, developing, and maintaining Corpay's C#/.NET-based MCP and AI integration framework.
  • Building secure and scalable APIs that enable LLMs to access approved business tools, semantic models, data warehouses, and analytical assets.
  • Partnering with the Data Architect to define standards, patterns, and governance controls for AI-to-data connectivity.
  • Developing reusable integration components that accelerate AI application development across the organization.
  • Designing and implementing MCP servers, tool definitions, and orchestration patterns that support AI-driven workflows.
  • Creating secure authentication, authorization, and auditing mechanisms for AI-enabled data access.
  • Integrating ChatGPT, Claude, and other emerging LLM platforms with internal business systems and Microsoft Fabric resources.
  • Building and optimizing connectivity to Microsoft Fabric Warehouses, Lakehouses, Semantic Models, and related analytics assets.
Qualifications and Skills
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience.
  • 7+ years of professional software engineering experience.
  • Advanced expertise in C# and .NET application development.
  • Demonstrated experience designing and developing RESTful APIs and distributed systems.
  • Experience developing MCP servers, AI tool-calling frameworks, agent orchestration platforms, or similar LLM integration architectures.
  • Significant experience integrating and working with modern LLM platforms, including OpenAI ChatGPT and Anthropic Claude.
  • Strong understanding of prompt orchestration, tool calling, agent architectures, and AI integration patterns.
  • Experience with Microsoft Fabric, Azure services, SQL Server, or modern cloud-based data platforms.
Preferred Qualifications
  • Experience developing AI agents, agent frameworks, or multi-agent architectures.
  • Familiarity with Power BI Semantic Models, DAX, and analytical data structures.
  • Familiarity with vector databases, embeddings, retrieval-augmented generation (RAG), and knowledge retrieval architectures.
 
 

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