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Agentic Ai Jobs in Rincon, GA (NOW HIRING)

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Agentic Ai information

See Rincon, GA salary details

$32

$59

$105

How much do agentic ai jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for agentic ai in Rincon, GA is $59.80, according to ZipRecruiter salary data. Most workers in this role earn between $41.30 and $90.91 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 cities near Rincon, GA are hiring for Agentic Ai jobs?

Cities near Rincon, GA with the most Agentic Ai job openings:

Agentic Ai jobs near you
Infographic showing various Agentic Ai job openings in Rincon, GA as of August 2026, with employment types broken down into 61% Full Time, 17% Part Time, and 22% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $124,380 per year, or $59.8 per hour.

UPSD Lead AI Architect

United Parcel Service of America, Inc.

Savannah, GA • On-site

$51.50 - $70.50/hr

Full-time

Re-posted yesterday

UPS Supply Chain Solutions rating

6.8

Company rating: 6.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

35th of 64 rated delivery companies

Job description

Before you apply to a job, select your language preference from the options available at the top right of this page.
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
Job Description:
Position Summary:
We are seeking a Lead AI Architect to design, develop, and deploy enterprise-scale AI and Generative AI solutions. The ideal candidate will have expertise in LLM-powered applications, agentic AI, RAG architectures, traditional machine learning, and cloud-based AI platforms, while providing technical leadership across cross-functional teams.
Key Responsibilities:
  • Design, develop, and deploy production LLM applications utilizing prompt engineering, context engineering, RAG, and agent orchestration.
  • Architect and implement agentic workflows using LangChain, LlamaIndex, CrewAI, AutoGen, and Hugging Face Transformers.
  • Integrate LLMs with knowledge graphs and multi-agent systems to solve complex business problems.
  • Build scalable RESTful APIs, microservices, and vector database solutions (Pinecone, Weaviate, Milvus, FAISS).
  • Apply AI/ML techniques including deep learning, supervised and unsupervised learning, NLP, NER, text classification, and sentiment analysis.
  • Develop model evaluation frameworks to measure AI quality, safety, and performance.
  • Implement model adaptation techniques including prompt tuning, LoRA, and PEFT.
  • Leverage cloud platforms (Azure ML, Vertex AI) and container technologies (Docker, Kubernetes) to deploy and scale AI solutions.
  • Collaborate with business and technical stakeholders to align AI initiatives with organizational goals.
  • Document AI architectures, deployment patterns, and best practices.

Qualifications:
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field (or equivalent experience).
  • 3+ years of experience in AI/ML, including deep learning, NLP, supervised and unsupervised learning.
  • Proven experience building and deploying LLM-powered applications, RAG pipelines, agent architectures, and evaluation frameworks.
  • Hands-on experience with LangChain, LlamaIndex, CrewAI, AutoGen, and Hugging Face Transformers.
  • Strong Python programming skills with experience in Pandas, PySpark, TensorFlow, and XGBoost.
  • Experience developing production-grade RESTful APIs and microservices.
  • Experience with Azure ML, Vertex AI, and vector databases such as Pinecone, Weaviate, Milvus, or FAISS.
  • Knowledge of Docker, Kubernetes, and modern AI deployment practices.
  • Experience with prompt tuning, fine-tuning, LoRA, and PEFT methodologies.
  • Familiarity with knowledge graphs and multi-agent AI systems.
  • Excellent communication, presentation, and stakeholder management skills.

Employee Type:
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
Other Criteria:
UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.
Basic Qualifications:
Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.

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