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Ai Monitoring Jobs in Georgia (NOW HIRING)

... 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 ...

Cloud AI Ops / AI Monitoring; and, Cloud Discovery. Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $77,000 - $202,000. Actual compensation within the range ...

Monitoring data inputs for anomalies, bias, and drift, which can impact the fairness and accuracy of AI systems • Utilize observability tools to produce structured, trustworthy insights from ...

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 ... monitoring. * Architect agent graphs in LangGraph (or comparable - CrewAI, AutoGen, Claude Agent ...

Implement testing, monitoring, observability, and governance practices for AI applications. * Ensure AI solutions meet security, compliance, and responsible AI standards. * Contribute to architecture ...

Monitoring data inputs for anomalies, bias, and drift, which can impact the fairness and accuracy of AI systems * Utilize observability tools to produce structured, trustworthy insights from detailed ...

... deployment, monitoring, and continuous improvement. * Drive the best practices and adoption of ... Ensure AI solutions are reliable, observable, performant, cost-efficient and production-ready.

AI Agent Engineer

Alpharetta, GA · On-site

$77K - $103K/yr

Do you enjoy working at the intersection of automation, systems monitoring, and human oversight to ensure safe and high-quality AI performance? About the Business: LexisNexis Risk Solutions is the ...

AI Engineer Location: Apharetta, GA / Berkley Heights , NJ/ Englewood Cliffs, NJ (onsite role) Mode ... for monitoring performance, cost, and reliability. * Contribute to code reviews, unit/integration ...

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Showing results 1-20

Ai Monitoring information

What is AI monitoring?

AI monitoring refers to the process of continuously observing and analyzing artificial intelligence systems to ensure they operate as intended. This includes tracking performance, detecting anomalies, ensuring compliance with ethical guidelines, and identifying potential biases or errors. Effective AI monitoring helps organizations maintain transparency, improve system reliability, and ensure that AI models make fair and accurate decisions. It is essential in applications where AI impacts critical business or societal outcomes.

What are some common challenges faced by professionals in AI monitoring roles, and how can they be addressed?

Professionals in AI Monitoring often encounter challenges such as managing large volumes of data, identifying and responding to atypical model behavior, and ensuring compliance with ethical and regulatory standards. Staying updated on the latest AI trends and best practices, utilizing robust monitoring tools, and collaborating closely with data scientists and engineers can help address these challenges. Regular training and open communication within cross-functional teams are also essential to maintain effective oversight and quickly mitigate potential issues.

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

To thrive as an AI Monitoring Specialist, you need a solid understanding of data analysis, machine learning concepts, and system monitoring, often supported by a degree in computer science or a related field. Familiarity with monitoring platforms like Datadog, Prometheus, or Splunk, as well as experience with scripting languages and AI model management tools, is typically required. Attention to detail, critical thinking, and strong communication skills help specialists identify issues quickly and collaborate with technical teams. These skills and qualities are crucial for ensuring AI systems operate reliably, securely, and efficiently in real-world applications.

What is the difference between Ai Monitoring vs Data Analyst?

AspectAi MonitoringData Analyst
Required CredentialsTypically requires knowledge of AI systems, programming, and data analysis toolsRequires statistical, analytical, and data visualization skills, often with a degree in data science or related fields
Work EnvironmentOften involves monitoring AI systems in real-time, using specialized software, in tech or AI-focused companiesAnalyzes data sets, creates reports, and provides insights, working in various industries like finance, marketing, or healthcare
Employer & Industry UsageCommon in AI development firms, tech companies, and organizations deploying AI solutionsWidely used across industries for decision-making, reporting, and strategic planning

While both roles involve working with data, Ai Monitoring focuses on overseeing AI system performance and ensuring operational accuracy, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

Infographic showing various Ai Monitoring job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 11% Part Time, 9% Contract, and 3% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Agentic AI Developer

Vibotek LLC

Atlanta, GA • On-site

Full-time

Re-posted 5 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.