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Agentic Ai Jobs in Georgia (NOW HIRING)

Vibotek LLC is seeking an Agentic AI Developer to create advanced AI applications that operate autonomously in enterprise settings. The role involves developing multi-agent workflows and integrating ...

Build and enhance agentic AI solutions, AI copilots, and intelligent workflow automation. * Develop LLM-powered applications leveraging Retrieval-Augmented Generation (RAG), tool calling, and ...

Section 1: Position Summary The Senior Manager, Agentic AI Delivery will be a critical leader within Ascensus' Transformation team, accountable for end-to-end delivery of an enterprise portfolio of ...

Senior Agentic AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Senior Agentic AI Engineer Location: NY or Alpharetta, GA with 3 days work from client office. Duration: 12+ months (Long term) Implementation Partner: Infosys End Client: To be disclosed JD: Role ...

Key Responsibilities • Proficiency in technologies like Agentic AI, Gen AI, RAG, Python, Lang Graph, Lang Chain • Design, build, and deploy agentic AI systems using generative AI models, agent ...

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 ...

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 ...

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Agentic Ai information

See Georgia salary details

$30

$55

$98

How much do agentic ai jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for agentic ai in Georgia is $55.54, according to ZipRecruiter salary data. Most workers in this role earn between $38.37 and $84.42 per hour, depending on experience, location, and employer.

What are agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.

What are the key skills and qualifications needed to thrive as an AI engineer, and why are they important?

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

How do agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are in demand in industries like technology, robotics, and automation. Careers in this field typically require skills in machine learning, programming, and data analysis, and can offer growth opportunities as AI technology advances.

What type of jobs are in agentic AI?

Jobs in agentic AI involve developing, training, and deploying autonomous AI systems that can perform tasks independently, such as AI research scientist, machine learning engineer, AI software developer, and data scientist. These roles typically require skills in programming, machine learning frameworks, and understanding of AI ethics and safety protocols.

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

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

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

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

What job categories do people searching Agentic Ai jobs in Georgia look for?

The top searched job categories for Agentic Ai jobs in Georgia are:

What cities in Georgia are hiring for Agentic Ai jobs?

Cities in Georgia with the most Agentic Ai job openings:

Infographic showing various Agentic Ai 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 $115,520 per year, or $55.5 per hour.

Agentic AI Developer

Vibotek LLC

Atlanta, GA • On-site

Full-time

Re-posted 14 days ago


Job description

Job Summary:
Vibotek LLC is seeking an Agentic AI Developer to create advanced AI applications that operate autonomously in enterprise settings. The role involves developing multi-agent workflows and integrating AI agents with various systems to enhance business platforms.
Responsibilities:
• Develop agentic AI applications that autonomously plan, reason, and execute tasks across enterprise environments
• Implement multi-agent workflows using modern agent orchestration frameworks (e.g., Semantic Kernel, LangChain, or similar)
• Design and develop Retrieval-Augmented Generation (RAG) and knowledge-grounded AI solutions
• Integrate AI agents with enterprise systems via REST APIs, databases, and cloud services
• Build agent memory, tool usage, and prompt workflows for reliable and repeatable execution
• Collaborate with product, cloud, and application teams to embed AI agents into business platforms
• Optimize AI solutions for performance, security, compliance, and cost efficiency
• Support testing, monitoring, and continuous improvement of deployed AI agents
Qualifications:
Required:
• 5+ years of software or AI/ML development experience
• 2+ years of hands-on experience with Generative AI and agent-based systems
• Strong experience with Agentic AI concepts: planning, memory, tools, and autonomous execution
• Proficiency in Python and/or C# for AI application development
• Experience working with LLMs, prompt engineering, and model APIs
• Hands-on experience with RAG pipelines, vector databases, and embeddings
• Familiarity with cloud-native architectures and RESTful integrations
Preferred:
• Experience with Semantic Kernel, LangChain, or similar agent frameworks
• Exposure to Azure OpenAI, OpenAI APIs, or equivalent LLM platforms
• Understanding of MLOps, model lifecycle management, and AI monitoring
• Experience delivering AI solutions in enterprise or regulated environments
• Knowledge of secure AI deployment and AppSec best practices
Company:
We screen and shortlist candidates before presenting to our clients. Therefore reducing hiring time and cost. Founded in 2022, the company is headquartered in Kent, Washington, US, , with a team of 11-50 employees. The company is currently Early Stage.