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Ai Monitoring Jobs in Georgia (NOW HIRING)

Tata Consultancy Service Limited

AI Engineer

Atlanta, GA · On-site

$120K - $140K/yr

Implement guardrails, access controls, and monitoring * Optimize latency, cost, and reliability ... Drive AI/Agentic use case discovery with clients business and technology leaders. * Shape proposals ...

Voya Financial

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 ...

OVA.Work

AI Architect

Alpharetta, GA · On-site

$60.50 - $78/hr

... Monitor, retrain, and improve deployed models • Develop APIs and integrate ML models into applications • Maintain model documentation and version control • Stay updated with the latest AI/ML ...

Cajun Funding Corp

Director, AI Enablement

Atlanta, GA · On-site

$150 - $200/hr

Stays current with the AI landscape to serve as a credible internal voice on what is emerging, ready for adoption, or warrants monitoring.**Position Requirements (Education, Qualifications ...

Socket.dev

Director of AI

Atlanta, GA · On-site

$180 - $240/hr

Establish AI Development Lifecycle (AI DLC) practices, including prompt engineering, evaluation, testing, deployment, monitoring, and governance. * Establish engineering standards and reusable ...

Salesforce, Inc.

Director, AI & Tooling

Atlanta, GA · On-site

Monitor and manage Help Agent production health, including end-to-end latency, engagement rate ... Represent AI & Tooling in leadership forums and communicate progress, risks, and strategic ...

Monitise

AI GRC Architect

Alpharetta, GA · Hybrid

You will establish target-state architecture for AI intake, risk tiering, control mapping, approval workflows, continuous monitoring, and audit-ready traceability. Partnering with program owners ...

Ascent360

Director of AI

Atlanta, GA · On-site

$180 - $280/hr

Establish AI Development Lifecycle (AI DLC) practices, including prompt engineering, evaluation, testing, deployment, monitoring, and governance. * Establish engineering standards and reusable ...

Florence Healthcare - US

Director of AI

Atlanta, GA · On-site

Establish AI Development Lifecycle (AI DLC) practices, including prompt engineering, evaluation, testing, deployment, monitoring, and governance. * Establish engineering standards and reusable ...

Intuit

Staff AI Scientist

Atlanta, GA · On-site

Contribute to the credit risk AI science initiatives for the new and evolving Money product ... Design, build, deploy, evaluate, defend, and monitor machine learning models to predict credit risk ...

Monitise

AI GRC Architect

Alpharetta, GA · Hybrid

You will establish target-state architecture for AI intake, risk tiering, control mapping, approval workflows, continuous monitoring, and audit-ready traceability. Partnering with program owners ...

Intuit

Staff AI Scientist

Atlanta, GA

Contribute to the credit risk AI science initiatives for the new and evolving Money product ... Design, build, deploy, evaluate, defend, and monitor machine learning models to predict credit risk ...

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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.

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

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

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

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

Ai Monitoring jobs near you
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

Tata Consultancy Service Limited

Atlanta, GA • On-site

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago

Job description

Must Have Technical/Functional Skills
  • Hands-On Development & POCs
  • Python technology + Additional backend knowledge
  • Hands on GCP experience (Vertex AI preferred)
  • Implemented access control mechanism, trusted AI solutions
  • Strong SQL (Big Query preferred)
  • Experienced API building
  • Hands-on Experience ADK framework or similar agent framework
  • Hands-on Experience AI/LLM application or chatbots
  • Domain knowledge Supply chain / transportation domain experience (e.g., logistics, TMS, routing, shipment visibility)

Able to build rapid POCs demonstrating:
  • Multi-agent collaboration
  • RAG/Vector databases
  • Autonomous task execution
  • IAM/Secure service integration
  • Agents interacting with clients APIs, data platforms, and operational systems
  • MCP-based tool integrations for internal systems

Develop reference implementations using:
  • Vertex AI Agent Builder
  • Agent Studio / AI Studio or rapid prototyping tools
  • Enterprise copilots or operational AI assistants
  • Gemini models
  • GPT-based agents
  • GCP AI Agentic capabilities (If not, Azure AI Agentic capabilities is fine)
  • Create debugging, observability, and evaluation frameworks for agent behavior.

Roles & Responsibilities
Agentic AI Engineer
  • Develop AI agents/chatbots with tool integration (APIs, databases, services)
  • Build using ADK (Python required; Java or similar preferred)
  • Create multi-step agent workflows (reasoning, orchestration, context handling)
  • Rapidly prototype using Agent Studio / AI Studio (or equivalent)
  • Convert POCs to production services on GCP (Cloud Run / GKE)
  • Integrate with Vertex AI, BigQuery, enterprise systems
  • Implement guardrails, access controls, and monitoring
  • Optimize latency, cost, and reliability

Enterprise Integration
  • Integrate agentic systems with clients:
  • GCP data ecosystem (BigQuery, Pub/Sub, Cloud Run)
  • APIs, microservices, and event-driven systems
  • Identity, security, and governance frameworks
  • Define standards for agent safety, guardrails, and responsible autonomy.

Client Engagement & Sales Influence
  • Drive AI/Agentic use case discovery with clients business and technology leaders.
  • Shape proposals, solution narratives, and executive presentations.
  • Act as the primary AI/Agentic technical advisor for the clients account.

Cross-Functional Leadership
  • Partner with cloud, data engineering, product, and business teams to deliver cohesive solutions.
  • Mentor engineers on agentic patterns, tool integration, and modern AI development.

TCS Employee Benefits Summary:
  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Auto & Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

#LI-KR3
Salary Range-$120,000-$140,000 a year

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