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Ai Integration Jobs in Decatur, GA (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 ...

System One

Integration Specialist

Atlanta, GA · On-site

$114K/yr

Integration Specialist Location: Hybrid Atlanta, GA Work Authorization: U.S. Citizen or Legal ... In this role, you'll evaluate emerging AI capabilities (including generative AI), build practical ...

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 ...

Intellectt INC

Senior - AI Architect

Atlanta, GA · On-site

Integrate and manage MCP Server for scalable AI infrastructure and agent workflows. * Design and deploy AI solutions leveraging AWS services including Bedrock and Nova Sonic, ensuring robust cloud ...

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 ...

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All JobsAi Integration JobsAi Integration Jobs in Decatur, GA

Ai Integration information

See Decatur, GA salary details

$21K

$115.2K

$167K

How much do ai integration jobs pay per year?

As of Jul 31, 2026, the average yearly pay for ai integration in Decatur, GA is $115,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $143,000.00 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 in artificial intelligence, such as AI research director, senior machine learning engineer, or AI solutions architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact on business or technology development.

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 is an AI integration job?

An AI integration job involves implementing artificial intelligence systems into existing software or workflows to improve functionality or automate processes. It requires skills in programming, data analysis, and understanding AI tools and platforms. Professionals in this role often collaborate with development teams and may need knowledge of machine learning, APIs, and cloud services.

How much does an AI integration specialist make?

An AI integration specialist typically earns between $70,000 and $130,000 annually, depending on experience, location, and industry. Professionals with skills in machine learning, programming, and cloud platforms tend to have higher salaries, especially in tech-focused environments.

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 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 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 become an AI integration specialist with no experience?

To become an AI integration specialist with no experience, start by learning foundational skills in programming languages like Python and understanding AI concepts such as machine learning and APIs. Gaining hands-on experience through online courses, tutorials, and small projects helps build practical skills, while certifications in AI or cloud platforms can enhance your credentials. Entry-level roles may require demonstrating problem-solving abilities and familiarity with AI tools and frameworks.
What job categories do people searching Ai Integration jobs in Decatur, GA look for? The top searched job categories for Ai Integration jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Ai Integration jobs? Cities near Decatur, GA with the most Ai Integration job openings:
Ai Integration jobs near you
Infographic showing various Ai Integration job openings in Decatur, GA as of July 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 70% In-person, and 30% Remote job distribution, with an average salary of $115,194 per year, or $55.4 per hour.

Senior AI Integration Engineer - Contract

corpay

Atlanta, GA

$100K - $134K/yr

Other

Posted 4 days ago

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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