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Ai Operator Jobs in Atlanta, GA (NOW HIRING)

Purple Drive

AI Technical Program Manager

Atlanta, GA

$124K - $160K/yr

Knowledge of AI cost governance (AI FinOps), Responsible AI, Compliance, and enterprise AI operating models. * Proficiency with Jira, Azure DevOps, or similar project management platforms. * Proven ...

WorldVia

Full Stack Engineer (AI Platform)

Roswell, GA · On-site

If you're excited to build the AI operating system for travel and you're comfortable pairing your craft with A Iaugmented development, let's talk. Key Responsibilities * Design and develop scalable ...

WorldVia

Full Stack Engineer (AI Platform)

Atlanta, GA · Hybrid

If you're excited to build the AI operating system for travel and you're comfortable pairing your craft with A Iaugmented development, let's talk. Key Responsibilities * Design and develop scalable ...

WorldVia

Full Stack Engineer (AI Platform)

Atlanta, GA · On-site

If you're excited to build the AI operating system for travel and you're comfortable pairing your craft with A Iaugmented development, let's talk. Key Responsibilities * Design and develop scalable ...

WorldVia

Full Stack Engineer (AI Platform)

Roswell, GA · On-site

If you're excited to build the AI operating system for travel and you're comfortable pairing your craft with A Iaugmented development, let's talk. Key Responsibilities * Design and develop scalable ...

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Ai Operator information

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How much do ai operator jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for ai operator in Atlanta, GA is $22.16, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $21.06 per hour, depending on experience, location, and employer.

What is an AI operator?

An AI Operator is responsible for managing, monitoring, and optimizing artificial intelligence systems to ensure they function efficiently and effectively. They work with machine learning models, troubleshoot AI-related issues, and oversee the deployment of AI-driven solutions. Their role often requires technical skills in data processing, software tools, and automation workflows to maintain system performance and reliability. AI Operators may collaborate with engineers and data scientists to enhance AI capabilities and implement improvements.

What does an AI operator do?

An AI Operator is responsible for monitoring and maintaining AI systems, ensuring their optimal performance and addressing any malfunctions or anomalies that arise. This often includes reviewing AI-generated outputs, troubleshooting technical issues, updating software, performing regular system health checks, and coordinating with data scientists, engineers, or end-users to meet operational goals. Many AI Operators work in a collaborative, team-based environment where timely communication and documentation are essential. The role may also involve reporting on system metrics, assisting with model retraining, and supporting the deployment of updates or improvements.

What are the key skills and qualifications needed to thrive as an AI operator?

To thrive as an AI Operator, you need a foundational understanding of machine learning workflows, computer science principles, and proficiency with data processing, typically supported by a relevant technical degree or certification. Familiarity with AI management platforms, automated monitoring tools, and scripting languages like Python is highly valuable. Attention to detail, problem-solving skills, and effective communication are important soft skills for this role. These capabilities ensure smooth AI system operations, rapid issue resolution, and effective collaboration within multidisciplinary teams.

How much does an AI operator make?

AI operators typically earn between $50,000 and $100,000 annually, depending on experience, location, and the complexity of tasks. Entry-level positions may start lower, while experienced operators with specialized skills or certifications can earn higher salaries.

How to become an AI operator?

To become an AI operator, you typically need a background in computer science, data analysis, or related fields, along with knowledge of AI and machine learning tools. Gaining experience with programming languages like Python and understanding AI frameworks such as TensorFlow or PyTorch is essential. Certifications in AI or data science can also enhance your qualifications for this role.

What are the most commonly searched types of Ai Operator jobs in Atlanta, GA?

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For Ai Operator jobs in Atlanta, GA, the most frequently searched job titles are:

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Ai Operator jobs near you
Infographic showing various Ai Operator job openings in Atlanta, GA as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $46,092 per year, or $22.2 per hour.

Lead Agile Coach - AI PDLC Specialist

Purple Hires Inc

Atlanta, GA • Remote

Full-time

Re-posted 2 days ago

Job description

Role: Lead Agile Coach – AI PDLC Specialist

Location: United States or Canada (Remote)
Employment Type: Full-Time
 
Below is the detailed job description for your reference -
 

Job Description: 

About the Role
We are seeking a highly experienced Lead Agile Coach – AI PDLC Specialist to lead enterprise-scale Agile transformations while driving the adoption of AI-enabled Product Development Lifecycle (PDLC) practices.
This is a strategic leadership role requiring deep expertise in Scaled Agile (SAFe), Agile coaching, AI governance, AI operating models, and enterprise AI transformation. The ideal candidate has successfully implemented Agile frameworks across large organizations and has hands-on experience designing AI governance frameworks, AI PDLC playbooks, and AI-powered delivery models.
Candidates must demonstrate practical implementation experience—not just certifications or advisory experience.
Key Responsibilities

  • Lead enterprise Agile transformations across Team, ART, and Portfolio levels.

  • Implement and coach Agile frameworks including:

    • SAFe 5/6

    • Scrum

    • Kanban

    • Lean

    • Nexus

    • Scrum@Scale

    • Spotify Model

  • Design and launch Agile Release Trains (ARTs), conduct Value Stream Mapping, and facilitate PI Planning.

  • Drive Agile maturity through coaching, continuous improvement, Lean Portfolio Management, and delivery metrics.

  • Independently manage complex AI PDLC programs, risks, dependencies, governance, and executive reporting.

  • Develop AI Governance Frameworks, Responsible AI policies, AI Operating Models, and AI Governance Playbooks.

  • Partner with Legal, Risk, Compliance, Security, and Data Governance teams to ensure responsible AI adoption.

  • Design and enable enterprise AI Agents supporting:

    • Product Discovery

    • Backlog Management

    • Story Decomposition

    • Sprint & PI Planning

    • Dependency Management

    • Flow Metrics & OKRs

    • Continuous Improvement

  • Coach Product Managers, Product Owners, Scrum Masters, RTEs, and executive leadership on AI-enabled Agile delivery.

  • Deliver Agile and AI training programs, workshops, Communities of Practice (CoPs), and executive coaching sessions.

  • Act as a trusted advisor to business and technology leadership.

Required Technical Skills
Agile & Scaled Agile

  • 10+ years in Technology

  • 7+ years as a Senior/Lead Agile Coach

  • Strong hands-on SAFe implementation experience

  • SAFe Roadmap implementation

  • Value Stream Mapping

  • ART Design & Launch

  • PI Planning

  • Lean Portfolio Management

  • Business Agility

  • Agile Metrics & Continuous Improvement

AI PDLC & Governance

  • AI Product Development Lifecycle (PDLC)

  • AI Governance Frameworks

  • Responsible AI

  • AI Operating Models

  • AI Governance Playbooks

  • AI Risk Management

  • Human-in-the-Loop (HITL)

  • Model Risk Registers

  • AI Ethics & Compliance

  • Business Agility Dashboards

AI Agent Technologies
Experience working with:

  • LangChain

  • LangGraph

  • CrewAI

  • AutoGen

  • Azure OpenAI

  • AWS Bedrock

  • Google Vertex AI

  • Retrieval-Augmented Generation (RAG)

  • Multi-Agent Architectures

  • Prompt Engineering

  • AI Observability

  • AI Guardrails

Agile Tooling

  • Jira

  • Azure DevOps

  • Big Picture

  • Agile Central

  • Confluence

  • ProductBoard

Preferred Certifications

  • SAFe Program Consultant (SPC 6.0 Preferred)

  • SAFe SPC 5.0

  • PMI-ACP

  • PSM I / PSM II

Certifications are preferred; however, demonstrated hands-on implementation experience is significantly more important.
 
Required Experience

  • 10+ years in software delivery or technology.

  • 7+ years leading Agile transformations.

  • Proven experience implementing SAFe at enterprise scale.

  • Hands-on experience leading AI PDLC initiatives.

  • Experience developing AI Governance Frameworks and AI Operating Models.

  • Experience coaching executive leadership.

  • Strong background managing enterprise AI transformation programs.

  • Demonstrated success leading multiple Agile Release Trains (ARTs).

  • Experience building scalable AI-enabled delivery practices.

Leadership & Soft Skills

  • Executive stakeholder management

  • Servant leadership

  • Strong facilitation and coaching skills

  • Excellent communication and presentation abilities

  • Strategic thinking and decision-making

  • Design Thinking mindset

  • Organizational change management

  • Conflict resolution

  • Self-directed leadership

  • Analytical and problem-solving skills

  • Ability to influence senior leadership and drive enterprise-wide adoption