1

Ai Agent Developer Jobs in Georgia (NOW HIRING)

FSE Sr.AI Engineer

Atlanta, GA · On-site

$117K - $155K/yr

... and agent-ready task breakdowns before writing any code. * Design and build full stack web ... Build and integrate AI-powered features -- leveraging LLMs, AI agents, prompt engineering, and the ...

As our Senior Data Engineer, you will report to the Senior Engineering Manager for the Fullstory ... You have helped shape the AI agent platform's technical direction, from eval frameworks to MCP ...

New

Senior AI Engineer (Remote)

Atlanta, GA · On-site +1

$99K - $136K/yr

You will build the core orchestration layers for multi-agent workflows, tool integration, and ... Works with Product Team to ensure user stories that are developer-ready, easy to understand, and ...

AI Engineer

Buford, GA · On-site

$69K - $134K/yr

AI Agent Development * Architect multi-step agents that integrate across APIs and enterprise ... Mentor junior engineers through code reviews, technical guidance, and knowledge-sharing initiatives.

Job Summary : Bricklayer AI is a pioneering company offering a multi-agent LLM-based AI solution for security. The Platform Engineering Leader will drive the strategic vision and execution of the ...

Senior AI Engineer

Atlanta, GA · On-site

$140 - $200/hr

Develop key AI architecture patterns (RAG, text-to-sql, multi-agent, etc)Create end-to-end production grade AI agents and integrate them into applicationsApply prompt engineering and context ...

Job Title Senior AI Solutions Engineer About the role As a Senior AI Solutions Engineer, you will ... Design multi-step agent architectures: tool use, retrieval (RAG), memory, orchestration across ...

Showing results 41-60

Ai Agent Developer information

See Georgia salary details

$24.5K

$40.5K

$84K

How much do ai agent developer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai agent developer in Georgia is $40,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,700.00 and $43,100.00 per year, depending on experience, location, and employer.

Is an AI agent developer a good career?

An AI agent developer is a promising career with high demand due to the growth of artificial intelligence applications. It typically requires skills in programming, machine learning, and data analysis, and offers opportunities in various industries such as technology, healthcare, and finance. The field often provides competitive salaries and continuous learning opportunities as AI technology evolves.

What is an AI agent developer?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI agent developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

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

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How to become an AI agent developer?

To become an AI agent developer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of AI concepts such as natural language processing and reinforcement learning. Gaining relevant education through degrees or online courses and building a portfolio of AI projects can also enhance your qualifications.
What are the most commonly searched types of Ai Agent Developer jobs in Georgia? The most popular types of Ai Agent Developer jobs in Georgia are:
What are popular job titles related to Ai Agent Developer jobs in Georgia? For Ai Agent Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Ai Agent Developer jobs in Georgia look for? The top searched job categories for Ai Agent Developer jobs in Georgia are:
What cities in Georgia are hiring for Ai Agent Developer jobs? Cities in Georgia with the most Ai Agent Developer job openings:
Infographic showing various Ai Agent Developer job openings in Georgia as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $40,472 per year, or $19.5 per hour.

AI Cybersecurity Engineer Principal

Huntington Bank

Atlanta, GA • On-site

$140 - $210/hr

Other

Posted 2 days ago

New


Huntington National Bank rating

8.1

Company rating: 8.1 out of 10

Based on 170 frontline employees who took The Breakroom Quiz

65th of 170 rated banks


Job description

## AI Cybersecurity Engineer PrincipalApplyremote type: Remotelocations: Ohio (Central Ohio Region): Detroit, MI: Tupelo, MS: Dallas, TX: Atlanta, GAtime type: Full timeposted on: Posted Todayjob requisition id: R0073646# **Description**The AI Cybersecurity Engineer Principle is responsible for designing, developing, and securing AI-driven solutions that enhance cybersecurity capabilities and enable safe enterprise adoption of artificial intelligence. This role bridges AI engineering, cybersecurity, and cloud platforms to deliver intelligent automation, advanced analytics, and secure application architectures. The position focuses on embedding security, governance, and risk controls into AI systems while driving innovation through agentic AI, automation, and data-driven decision-making.**Duties & Responsibilities*** **AI Solution Development:** Design, build, and deploy AI/ML and generative AI applications to support cybersecurity operations and enterprise use cases.* **Security Integration:** Embed cybersecurity controls, secure coding practices, and data protection measures into AI applications and development pipelines.* **Cyber Use Case Enablement:** Develop solutions for threat detection, alert triage, vulnerability analysis, identity analytics, and risk scoring.* **Automation & Agentic AI:** Implement intelligent automation and agent-driven workflows to optimize cyber operations and reduce manual effort.* **Data & Analytics:** Engineer pipelines and analytics solutions for processing logs, telemetry, and security data to generate actionable insights.* **Cloud & Platform Engineering:** Deploy and manage scalable AI solutions in cloud-native environments using containers, APIs, and CI/CD pipelines.* **System Integration:** Integrate AI applications with enterprise and cybersecurity tools (SIEM, SOAR, IAM, data platforms).* **Governance & Compliance:** Ensure alignment with AI governance, regulatory requirements, and secure SDLC practices.* **Collaboration:** Partner with cybersecurity, engineering, data, and business teams to deliver secure, scalable AI capabilities**Basic Qualifications:*** Bachelor's Degree or 4+ additional years of equivalent experience.* 8+ years of production support and design of Cyber Security technologies.* 8+ years of operational experience with security technologies.* 8+ years of implementing or utilizing technology lifecycles and best practices (SDLC lifecycle).**Preferred Qualifications*** Experience in the implementation of cyber security tools (hardware and software)* Experience in participating and leading projects and implementing new technologies and solutions* Experience with agentic AI, Claude code, copilots, RAG architectures, and LLM orchestration frameworks* Experience implementing AI governance, model risk management, and security guardrails* Familiarity with cybersecurity platforms (SIEM, SOAR, EDR/XDR, vulnerability management, IAM tools)* Proficiency in modern programming languages such as Python, Java, .NET/C#, JavaScript/TypeScript, or Go, with strong API and backend development skills.* Demonstrated experience designing and developing RESTful APIs, microservices, and event-driven services to support enterprise AI and automation capabilities.* Strong hands-on software development experience with the ability to design, build, test, and deploy production-grade applications.* Ability to build and maintain a centralized AI agent registry that supports agent onboarding, unique agent identification, metadata management, ownership tracking, lifecycle status, versioning, and auditability.* Experience developing user interfaces and operational dashboards for monitoring, managing, and supporting AI agents, workflows, system health, and service activity.* Knowledge of data engineering, streaming analytics, and log/telemetry processing* Experience integrating applications with identity and access management platforms, including OAuth 2.0, OIDC, scoped tokens, service principals, managed identities, and role-based access controls.**Exempt Status: (Yes** = not eligible for overtime pay) (**No** = eligible for overtime pay)Yes**Workplace Type:**RemoteOur Approach to **Office** Workplace TypeCertain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. #J-18808-Ljbffr

What Huntington National Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom