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Ai Programmer Jobs in Georgia (NOW HIRING)

We are looking for an AI Engineer to design, build, and operate shared AI capabilities that other engineering teams can use to deliver secure, scalable, production-ready solutions. In this role, you ...

The Principal AI Engineer is responsible for driving AI adoption and innovation across Corporate Functions, Contact Center Operations, and Go-To-Market (GTM) products. This role serves as the ...

The Principal AI Engineer is responsible for driving AI adoption and innovation across Corporate Functions, Contact Center Operations, and Go-To-Market (GTM) products. This role serves as the ...

The Principal AI Engineer is responsible for driving AI adoption and innovation across Corporate Functions, Contact Center Operations, and Go-To-Market (GTM) products. This role serves as the ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion ...

Principal AI Engineer

Atlanta, GA · On-site

$180 - $260/hr

The Principal AI Engineer is responsible for driving AI adoption and innovation across Corporate Functions, Contact Center Operations, and Go-To-Market (GTM) products.This role serves as the ...

AI Engineer - South Bank, QLD Apply now Refer a friend Job no: 532205 Brand: Global Supply Work type: Full time Location: Queensland Categories: Digital and Technology At Flight Centre Travel Group ...

UKi is looking for an AI Workflow Engineers to architect our agentic SDLC from the ground up: formalized pipelines where AI agents plan, build, test, review, and ship alongside a core team of skilled ...

The Principal AI Engineer is responsible for driving AI adoption and innovation across Corporate Functions, Contact Center Operations, and Go-To-Market (GTM) products. This role serves as the ...

Senior AI Engineer

Alpharetta, GA · On-site

$119K - $157K/yr

Senior AI Engineer Location: Alpharetta, GA and NYC Duration: Fulltime Key Responsibilities * Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask. * Develop REST APIs and ...

Senior AI Engineer

Alpharetta, GA · On-site

$119K - $157K/yr

Role - Senior AI Engineer Location - Alpharetta, GA Fulltime Morgan Stanely Experience: 8+ Years Key Responsibilities * Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask.

Distinguished AI Engineer Distinguished AI Engineer Location: This role requires associates to be in-office 3 days per week, fostering collaboration and connectivity, while providing flexibility to ...

Senior AI Engineer

Alpharetta, GA · On-site

$119K - $157K/yr

Role: Senior AI Engineer Location: Alpharetta, GA Duration: Fulltime Key Responsibilities * Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask. * Develop REST APIs and ...

AI Engineer

Atlanta, GA · On-site

$50K - $112K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level Associate & Summary The Opportunity As an AI Engineer, you will be at the forefront of transforming raw ...

Senior Agentic (AI) Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that automate KYB, underwriting, and risk decisions on regulated financial data. You'll own agents end-to ...

Team Lead, AI Engineering

Atlanta, GA · On-site

$98K - $129K/yr

Team Lead, AI Engineering So, what's the role all about? NICE is assembling a core engineering team to build the internal AI platform that powers intelligent automation across the enterprise. As Team ...

They are seeking a Principal AI Engineer to design and develop advanced artificial intelligence systems that support business goals, drive AI initiatives, and mentor teams in adopting AI solutions.

Showing results 41-60

Ai Programmer information

See Georgia salary details

$10

$33

$58

How much do ai programmer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for ai programmer in Georgia is $33.38, according to ZipRecruiter salary data. Most workers in this role earn between $21.73 and $43.41 per hour, depending on experience, location, and employer.

What does an AI programmer do?

An AI Programmer develops and implements artificial intelligence algorithms in software applications, such as games, robotics, or machine learning systems. They write code, optimize AI models, and ensure efficient decision-making processes. Their role often involves working with machine learning frameworks, neural networks, and behavior modeling. AI Programmers collaborate with data scientists and developers to create intelligent systems that can learn, adapt, and make automated decisions.

What are the key skills and qualifications needed to thrive in the AI programmer position, and why are they important?

To thrive as an AI Programmer, you need strong proficiency in programming languages such as Python or C++, a solid understanding of machine learning concepts, and often a bachelor's degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch and knowledge of data structures and algorithms are typically required, with certifications in machine learning or AI being advantageous. Analytical thinking, strong problem-solving skills, and effective teamwork are key soft skills that set candidates apart. These competencies enable AI Programmers to design, implement, and optimize intelligent systems that address complex real-world challenges.

What does a typical workday look like for an AI programmer?

A typical workday for an AI Programmer involves designing, coding, and testing machine learning models to solve specific problems or enhance product features. You'll often collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into larger applications or workflows. The role frequently includes experimenting with new algorithms, debugging models, and participating in regular team meetings to discuss project progress. Depending on the company, you may also contribute to code reviews, technical documentation, and ongoing model optimization. This dynamic environment ensures continuous learning and exposure to cutting-edge technologies.

How do you become an AI programmer?

To become an AI programmer, you typically need a strong foundation in programming languages such as Python or C++, knowledge of machine learning frameworks like TensorFlow or PyTorch, and a background in computer science, mathematics, or data science. Gaining experience through projects, online courses, or certifications in AI and machine learning is also important for developing relevant skills.

How much does an AI programmer make?

AI programmers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially with advanced certifications and proficiency in programming languages like Python or frameworks such as TensorFlow.

What are the most commonly searched types of Ai Programmer jobs in Georgia?

The most popular types of Ai Programmer jobs in Georgia are:

What are popular job titles related to Ai Programmer jobs in Georgia?

For Ai Programmer jobs in Georgia, the most frequently searched job titles are:

Infographic showing various Ai Programmer job openings in Georgia as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $69,437 per year, or $33.4 per hour.

Full-time

Re-posted 14 days ago


Job description

Overview
This position is hybrid in Peachtree Corners, Georgia and sits within our Product Development division, which develops, tests, and improves our software solutions in an innovative and collaborative environment.
The Opportunity
ConstructConnect is accelerating how AI is applied across our products, platforms, and engineering workflows. We are looking for an AI Engineer to design, build, and operate shared AI capabilities that other engineering teams can use to deliver secure, scalable, production-ready solutions.
In this role, you will partner with software engineering, platform engineering, data, security, and product teams to make AI easier to adopt across the organization through practical services, tooling, and repeatable implementation patterns. This is a hands-on engineering role for someone who enjoys building production systems, improving developer workflows, and helping turn promising AI concepts into reliable solutions for internal teams and customers.
Responsibilities
What You'll Be Doing
Platform & Service Development
  • Design, implement, and maintain shared AI platform components such as services, SDKs, templates, workflows, and reusable libraries that software engineering teams can adopt quickly and safely.
  • Contribute to engineering patterns and paved paths for AI usage, including model access, prompt handling, evaluation, observability, security, and production support.
  • Partner with product, application, data, and platform teams to translate AI use cases into scalable technical solutions instead of one-off implementations.
  • Build and operate reliable, cost-aware AI and ML services on cloud platforms using containerized workloads, managed services, and modern infrastructure practices.
  • Build and improve internal APIs, developer tooling, and integration patterns that simplify access to AI providers, model endpoints, retrieval services, and supporting data systems.

Operations & Delivery
  • Support end-to-end workflows for AI and ML use cases, including data preparation, experimentation, deployment, monitoring, and lifecycle management.
  • Contribute to CI/CD practices for AI-enabled services and ML components, including automated quality checks, security controls, and release guardrails.
  • Instrument AI workloads with strong observability practices, including metrics, logs, dashboards, tracing, alerting, and cost visibility.
  • Troubleshoot and resolve issues related to AI and ML deployments, including latency, scalability, integration failures, reliability problems, and cloud cost concerns.

Governance & Enablement
  • Partner with security, platform engineering, and architecture teams to ensure AI usage aligns with company policies for data classification, access control, privacy, and compliance.
  • Evaluate emerging AI technologies, frameworks, and vendor capabilities, and share recommendations on where they may fit within ConstructConnect's engineering roadmap.
  • Contribute documentation, runbooks, onboarding materials, and reference implementations that help teams adopt AI capabilities with confidence.
  • This job description in no way implies that the duties listed here are the only ones that team members can be required to perform.

Qualifications
What You'll Be Doing
Required
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent practical experience.
  • 5-7 years of experience in software engineering, machine learning engineering, platform engineering, or a related area building and operating production systems.
  • Strong proficiency in at least one modern programming language such as Python, Go, or TypeScript, along with solid software design, debugging, and engineering fundamentals.
  • Experience building and operating services on a major cloud platform, preferably Google Cloud Platform, including familiarity with compute, storage, networking, and managed services.
  • Hands-on experience with containers and orchestration technologies such as Docker and Kubernetes.
  • Experience with CI/CD pipelines and Git-based engineering workflows used to build, test, and deploy services and platform components.
  • Familiarity with infrastructure-as-code tools such as Terraform for provisioning and managing cloud resources in a repeatable, auditable way.
  • Familiarity with MLOps concepts and tools used to support model training, evaluation, deployment, and monitoring.
  • Understanding of modern AI capabilities such as generative AI, embeddings, retrieval patterns, NLP, and related ML concepts, and the ability to apply them responsibly in production environments.
  • Experience building APIs, services, platforms, or libraries that are consumed by other engineers, with a focus on reliability, usability, and documentation.
  • Strong foundation in observability and operational excellence, including experience managing service health through metrics, logs, dashboards, and alerting.
  • Experience working cross-functionally with product, data, infrastructure, platform, and security teams.
  • Ability to translate technical topics into practical guidance and collaborate effectively in a distributed, remote-friendly environment.

Preferred
  • Experience supporting shared AI enablement, developer productivity, or platform engineering initiatives in a multi-team SaaS environment.
  • Experience with Google Cloud AI and data services such as Vertex AI, BigQuery, or related managed tooling.
  • Familiarity with AI evaluation frameworks, guardrails, prompt management, model routing, and lifecycle governance.
  • Experience working with vector search, retrieval-augmented generation, agentic workflows, or orchestration frameworks in production settings.
  • Exposure to intelligent search, recommendation systems, NLP, or computer vision use cases.
  • Background working in environments where security, governance, and operational reliability are important to AI adoption.

Physical Demands and Work Environment:
  • The physical activities of this position include frequent sitting, telephone communication, and working on a computer for extended periods. Visual acuity is required to perform activities close to the eyes.
  • Team members are expected to maintain a dedicated and ergonomically appropriate remote workspace.
  • Team members who live within commuting distance of one of our office locations (Greater Cincinnati/Northern Kentucky or Atlanta, Georgia) are expected to work in a hybrid capacity, with regular in-office presence as determined by the team or department.
  • All team members must reside and perform their work within the United States.

E-Verify Statement
ConstructConnect utilizes the E-Verify program with every potential new hire. This makes it possible for us to make certain that every employee who works for ConstructConnect is eligible to work in the United States. To learn more about E-Verify you can call 1-800-255-7688 or visit their website. E-Verify® is a registered trademark of the United States Department of Homeland Security.
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