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Drift Jobs in Decatur, GA (NOW HIRING)

AI Devops Engineer

Atlanta, GA · On-site

$50.75 - $69.50/hr

Hands-on experience supporting production AI/ML environments with model monitoring, drift detection, logging, alerting, and observability solutions We are seeking a Senior DevOps Engineer IV to ...

This role is responsible for overseeing AI-specific operational risks--including model drift, hallucinations, bias management, explainability implementation, and autonomous or emergent system ...

AI DevOps Engineer

Atlanta, GA · On-site

$50.75 - $69.50/hr

Implement AI observability frameworks covering model performance, drift detection, reliability, business KPIs, and operational monitoring. Design and support AI/ML lifecycle management including ...

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Data drift, bias, and reliability signals * Implements centralized monitoring frameworks across platforms * Enables proactive detection and automated response mechanisms * Aligns observability to ...

AI DevOps Engineer

Atlanta, GA · On-site

$50.75 - $69.50/hr

AI/ML Operations: model monitoring, drift detection, logging, alerting, observability. * Cloud governance, FinOps, and cost optimization. * Experience with LLMs, AI Agents, LangChain , and AgentOps ...

Senior Principal AI/ML Engineer

Atlanta, GA · On-site

$120K - $166K/yr

Build and maintain ML pipelines using MLOps tooling - ensuring reproducibility, model versioning, drift monitoring, and CI/CD integration. AI-Driven Insights & Analytics * Analyze large, complex ...

Monitor model performance, drift, fairness, explainability, data quality, and business effectiveness in partnership with engineering teams. * Create model documentation, explainability summaries ...

Monitor model performance, drift, fairness, explainability, data quality, and business effectiveness in partnership with engineering teams. * Create model documentation, explainability summaries ...

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Drift information

See Decatur, GA salary details

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How much do drift jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for drift in Decatur, GA is $21.85, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $23.94 per hour, depending on experience, location, and employer.

What is a Drift and what do people in this role do?

A Drift, in most professional contexts, refers to a role associated with the company Drift, which specializes in conversational marketing and sales software. People working at Drift typically help businesses engage website visitors through chatbots, real-time messaging, and automation tools to accelerate sales and improve customer experience. Their responsibilities may include software development, customer support, sales, marketing, or product management, all focused on enhancing digital conversations. Drift employees work to create seamless communication between businesses and their customers, often using AI-driven solutions. The specific duties depend on the exact position within the company.

What are the key skills and qualifications needed to thrive as a Drift Driver, and why are they important?

To thrive as a Drift Driver, you need advanced car control skills, in-depth knowledge of vehicle dynamics, and experience in motorsport, often supported by a valid racing or motorsport license. Mastery of high-performance vehicles, familiarity with safety gear, and understanding of telemetry systems are typically required. Quick decision-making, concentration under pressure, and strong communication with pit crews are standout soft skills in this role. These abilities ensure safety, competitive performance, and effective teamwork in the fast-paced, high-risk environment of drift racing.

What is the difference between Drift vs Chatbot Developer?

AspectDriftChatbot Developer
Primary RoleDesigns and manages live chat and conversational marketing toolsDevelops and programs chatbots for various platforms
Required SkillsCustomer engagement, marketing automation, basic codingProgramming, AI, natural language processing
Work EnvironmentMarketing teams, SaaS companies, customer supportDevelopment teams, AI firms, tech companies
CertificationsMarketing automation, CRM toolsProgramming languages, AI certifications

Drift focuses on live chat and conversational marketing tools used primarily in sales and customer support, while Chatbot Developers create AI-driven chatbots across platforms. Both roles require technical skills, but Drift roles lean more toward marketing automation, whereas Chatbot Developers focus on AI programming and natural language processing.

What are some typical challenges faced by Drift Operators, and how can they effectively address them?

Drift Operators often encounter challenges such as monitoring complex underground mining equipment, ensuring safety protocols are strictly followed, and responding quickly to unexpected issues like equipment malfunctions or hazardous conditions. Effective communication with team members and supervisors is crucial, as is staying current with safety training and operational procedures. Proactively identifying potential hazards and being adaptable in problem-solving are key strategies to excel in this role.
What are popular job titles related to Drift jobs in Decatur, GA? For Drift jobs in Decatur, GA, the most frequently searched job titles are:
What cities near Decatur, GA are hiring for Drift jobs? Cities near Decatur, GA with the most Drift job openings:
Infographic showing various Drift job openings in Decatur, GA as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $45,441 per year, or $21.8 per hour.

$50.75 - $69.50/hr

Other

Posted 7 days ago


Job description

Title : AI Devops Engineer

Location: Atlanta, GA

5 Month Contract

Only W2 

3 days hybrid onsite in Atlanta

Top Skills'' Details

Cloud Architecture & Automation: 10+ years of experience designing and deploying cloud infrastructure using Google Cloud Platform (preferred), Azure, or Databricks with strong Terraform/Bicep expertise.

DevSecOps & Governance: Proven ability to implement secure CI/CD pipelines, cloud security controls (IAM, encryption, secrets management), and governance frameworks.

AI/ML Operations & Observability: Hands-on experience supporting production AI/ML environments with model monitoring, drift detection, logging, alerting, and observability solutions

Job Description

We are seeking a Senior DevOps Engineer IV to support the design, implementation, and optimization of enterprise AI platforms and cloud infrastructure. This role will focus on cloud architecture, Infrastructure as Code (IaC), AI/ML operations, observability, security, governance, and Agentic AI systems. The ideal candidate will have extensive experience building scalable cloud environments, implementing DevOps best practices, and enabling production-grade AI solutions in regulated enterprise environments.

Key Responsibilities

Design, deploy, and maintain enterprise cloud infrastructure supporting AI/ML workloads.

Implement Infrastructure as Code using Terraform, Bicep, or similar automation tools.

Develop and manage CI/CD pipelines with integrated security, governance, and compliance controls.

Architect scalable, highly available AI platforms across cloud environments.

Drive FinOps practices, including cloud cost optimization, resource utilization, and enterprise cost visibility.

Implement AI observability frameworks covering model performance, drift detection, reliability, business KPIs, and operational monitoring.

Design and support AI/ML lifecycle management including monitoring, retraining strategies, logging, alerting, and incident response.

Embed security, compliance, and model risk management controls into AI development and deployment processes.

Support development and operationalization of Agentic AI solutions, including orchestration, monitoring, testing, and governance.

Establish best practices for AgentOps, model governance, and AI platform reliability

Additional Skills & Qualifications

Design and implementation of multi-cloud AI infrastructure with integrated governance and policy controls.

Experience embedding security, compliance, and governance controls directly into IaC and deployment pipelines.

Strong understanding of AI FinOps, including token optimization, cost-performance tradeoffs, and enterprise cost visibility.

Experience implementing model risk management controls, including auditability, explainability, and access governance.

Knowledge of designing AI systems for regulated environments and enforcing runtime guardrails and policy controls.

Ability to develop enterprise-wide AI observability strategies, covering model performance, data drift, bias detection, reliability, and business KPIs.

Experience implementing centralized monitoring frameworks and automated response mechanisms across AI platforms.

Exposure to LLM-based applications, AI agents, prompt engineering, API integrations, and orchestration frameworks such as LangChain.

Experience designing and supporting agent-based systems at scale, including multi-agent coordination, tool orchestration, memory management, and state management.

Knowledge of AgentOps practices, including AI deployment, testing, monitoring, iteration, and governance.

Understanding of autonomous AI system failure modes and mitigation strategies.