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Ai Monitoring Jobs in Georgia (NOW HIRING)

Implement governance, monitoring, security, and human-in-the-loop controls. Bachelor's degree in computer science, Engineering, or related field.2+ years of hands-on AI/LLM application development.

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 highquality AI performance? About the Business: LexisNexis Risk Solutions is the ...

AI Engineer

Atlanta, GA · On-site

$120 - $160/hr

Knowledge of MLOps tools and practices for model deployment and monitoring. Ability to work with large datasets and build scalable AI solutions. Strong problem-solving and critical-thinking skills.

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 highquality AI performance? About the Business: LexisNexis Risk Solutions is the ...

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 ...

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 ...

Quality Engineer AI

Atlanta, GA · On-site

$69K - $89K/yr

Monitor AI system behavior in production and identify quality improvement opportunities * Define quality metrics, KPIs, and dashboards for AI solution performance * Support CI/CD and continuous ...

New

Ensure robust MLOps practices including CI/CD, monitoring, versioning, and lifecycle management of models. * Stay current with AI research and industry trends, and evaluate emerging tools and ...

They design end-to-end architectures and monitoring, establish standard patterns and build-vs-buy guidance, and partner with technology, data, security, and business teams to move AI initiatives from ...

Ensure robust MLOps practices including CI/CD, monitoring, versioning, and lifecycle management of models. * Stay current with AI research and industry trends, and evaluate emerging tools and ...

AI Architect

Atlanta, GA · On-site

$60.50 - $79.75/hr

They design end-to-end architectures and monitoring, establish standard patterns and build-vs-buy guidance, and partner with technology, data, security, and business teams to move AI initiatives from ...

AI DevOps Engineer

Atlanta, GA · On-site

$50.75 - $69.50/hr

The engineer will build secure, scalable AI environments, implement CI/CD pipelines, monitor AI models, optimize cloud costs, and ensure compliance in regulated enterprise environments. Key Skills ...

Build production-grade ML infrastructure supporting model training, fine-tuning, deployment, and monitoring across distributed manufacturing environments. * Architect and develop full-stack AI ...

New

AI Architect

Atlanta, GA · On-site

$60.50 - $79.75/hr

... monitoring. • Selects, standardizes, and documents AI patterns (e.g., RAG, agentic workflows, ML pipelines, rules + AI hybrids). • Creates reusable AI assets, templates, and architectural ...

Define and monitor product KPIs, adoption metrics, business outcomes, model performance, and ROI ... Ensure AI products address data privacy, security, responsible AI, regulatory, and compliance ...

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Develop and implement strategies for model deployment, inference, and monitoring, with an emphasis ...

Google AI Architect/AI and Engineering Join our AI & Engineering team in transforming technology ... Develop and implement strategies for model deployment, inference, and monitoring, with an emphasis ...

AI Security Architect

Atlanta, GA · On-site

$62.50 - $80.75/hr

... monitoring • Establish AI security governance frameworks, guardrails, and risk management practices aligned with enterprise security architecture and compliance requirements • Ensure secure use ...

Showing results 21-40

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.

AI Engineer

ITBMS Inc.

Alpharetta, GA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Role: AI Engineer

Location: Alpharetta, GA
Duration: Contract 
 
Job Description :

Design and develop AI agents and multi-agent systems. Integrate AI solutions with enterprise platforms (JIRA, GitHub, ServiceNow, Teams, SharePoint, databases, APIs, etc.).Build workflow automation and orchestration solutions. Develop AI-accessible tools using APIs, MCP, webhooks, and event-driven architectures. Implement RAG and knowledge retrieval solutions. Design dashboards and reporting solutions using enterprise JIRA data. Optimize token usage, context management, and AI operating costs. Implement governance, monitoring, security, and human-in-the-loop controls. Bachelor’s degree in computer science, Engineering, or related field.2+ years of hands-on AI/LLM application development. Strong experience with enterprise application integrations. Technical Skills AI & Agents LLMs, Agentic AI, Multi-Agent Systems, Prompt Engineering, Retrieval-Augmented Generation (RAG), Semantic Kernel, Lang-Graph, Microsoft Auto-Gen, AI Governance, Responsible AI, GitHub Copilot, Microsoft Copilot Integration APIs, Webhooks, MCP, OAuth, Workflow Automation Knowledge Systems RAG, Semantic Search, Vector Databases, Embedding Models, Context Engineering, Retrieval Optimization Token Economy Context Engineering, Retrieval Optimization, Memory Management, Cost Optimization Data & Analytics Python, SQL, ETL/ELT, Data Pipelines, Data Modeling, Power BI, Tableau, Data Visualization, Operational Metrics & ReportingCloud & DevOps AWS/Azure, Docker, Kubernetes, CI/CD, GitHub Actions, Azure DevOps, Automated Testing, Secure SDLC, DevSecOps, Release Automation. Experience building enterprise AI platforms. Experience integrating multiple business systems and tools.• Experience with agent governance, observability, and security.• Experience delivering production-grade AI automation solutions.