Job Details

Skills

Artificial Intelligence
Cloud Architecture
Cloud Computing
Cloud Security
Collaboration
Continuous Delivery
Continuous Integration
Databricks
DevOps
DevSecOps
Encryption
FOCUS
Good Clinical Practice
Google Cloud Platform
IaaS
Incident Management
Information Security Governance
KPI
LangChain
Lifecycle Management
Machine Learning (ML)
Management
Microsoft Azure
Optimization
Orchestration
Prompt Engineering
Regulatory Compliance
Risk Management
Scripting
Terraform
Testing

Artificial Intelligence
Cloud Architecture
Cloud Computing
Cloud Security
Collaboration
Continuous Delivery
Continuous Integration
Databricks
DevOps
DevSecOps
Encryption
FOCUS
Good Clinical Practice
Google Cloud Platform
IaaS
Incident Management
Information Security Governance
KPI
LangChain
Lifecycle Management
Machine Learning (ML)
Management
Microsoft Azure
Optimization
Orchestration
Prompt Engineering
Regulatory Compliance
Risk Management
Scripting
Terraform
Testing

Summary

AI DevOps Engineer

Location: Atlanta, GA (Hybrid – 3 days onsite)

Position Overview

We are seeking a highly experienced AI DevOps Engineer 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), DevSecOps, 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.

Main Skills Required

Cloud Platforms: Google Cloud Platform (preferred), Azure, Databricks
Infrastructure as Code (IaC): Terraform, Bicep
DevSecOps: CI/CD pipelines, IAM, encryption, secrets management
AI/ML Operations: Model monitoring, drift detection, retraining strategies
Observability: Logging, alerting, monitoring frameworks
AI Governance: Compliance, model risk management, auditability
FinOps: Cloud cost optimization and resource utilization
Agentic AI: LangChain, AI agents, orchestration frameworks
Programming & Automation: Scripting and cloud automation tools

Key Responsibilities

Design, deploy, and maintain enterprise cloud infrastructure supporting AI/ML workloads.
Implement Infrastructure as Code (IaC) using Terraform, Bicep, or similar automation tools.
Develop and manage secure CI/CD pipelines with integrated governance and compliance controls.
Architect scalable, highly available AI platforms across cloud environments.
Implement AI observability frameworks covering model performance, drift detection, reliability, and business KPIs.
Support AI/ML lifecycle management, including monitoring, retraining, logging, alerting, and incident response.
Embed security, compliance, and model risk management controls into AI development and deployment processes.
Drive FinOps practices, including cloud cost optimization and enterprise cost visibility.
Design and operationalize Agentic AI solutions, including orchestration, testing, monitoring, and governance.
Establish best practices for AgentOps, AI platform reliability, and governance.

Required Qualifications

10+ years of experience in cloud architecture, automation, and DevOps engineering.
Strong hands-on experience with Google Cloud Platform (preferred), Azure, or Databricks.
Expertise in Terraform, Bicep, or other IaC tools.
Proven experience implementing secure CI/CD pipelines and DevSecOps practices.
Hands-on experience supporting production AI/ML environments, including monitoring and drift detection.
Strong knowledge of IAM, encryption, secrets management, and cloud security controls.
Experience with AI observability, logging, alerting, and centralized monitoring frameworks.
Familiarity with LLM-based applications, AI agents, prompt engineering, and LangChain.
Experience designing AI systems for regulated enterprise environments.

Preferred Qualifications

Experience implementing multi-cloud AI infrastructure with governance and policy controls.
Knowledge of AI FinOps, including token optimization and cost-performance tradeoffs.
Experience with model risk management, explainability, and access governance.
Understanding of autonomous AI system failure modes and mitigation strategies.
Experience supporting agent-based systems at scale, including multi-agent coordination and state management.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91126603
Position Id: 9032848
Posted 1 day ago

Company Info

About Learn Beyond Consulting LLC

Our company was established with primary goal to deliver quality and cost effective IT consultancy and support to everyone who requires them.

Learn Beyond Consulting is a global consulting powerhouse. We are a team of high-skilled professionals who care about the level of information technology integration in modern business. As a team collectively We have more than 50 years of experience in IT industry..

We achieved our success because of how successfully we integrate with our clients. One complaint many people have about consultants is that they can be disruptive. Employees fear outside consultants coming in and destroying the workflow. Our clients face no such issues.

We believe in partnering, through close association with our clients to first understand and define what is truly needed, and then jointly work to create complete, customized business solutions tailored to their unique requirements.

Our methodology includes a very advanced approach to performance management ensuring the desired results are defined in clear measurable terms.

Our Vision is To provide Continuous Value Addition to our Clients by leveraging the Latest and most Innovative Technologies by Delivering Excellent Business Solutions.

We understand that each client has his own unique needs, definition of value, which must be sustained over a period of time as conditions and priorities change

AI DevOps Engineer

Hybrid in Atlanta, Georgia

•

2d ago

Only W2 (USC) Job Description Seeking a Senior AI DevOps Engineer with 10+ years of experience to design, deploy, and optimize enterprise AI platforms and cloud infrastructure. The role focuses on cloud architecture (Google Cloud Platform preferred), Infrastructure as Code (Terraform/Bicep), DevSecOps, AI/ML Operations, observability, governance, and Agentic AI. The engineer will build secure, scalable AI environments, implement CI/CD pipelines, monitor AI models, optimize cloud costs, and ensu

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AI DevOps Engineer_ W2

Skills

Summary

AI DevOps Engineer

Main Skills Required

Key Responsibilities

Required Qualifications

Preferred Qualifications

Dice Job Match Score™

Jay Bennett

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AI DevOps Engineer_ W2

Learn Beyond Consulting LLC

Job Details

Skills

Summary

AI DevOps Engineer

Main Skills Required

Key Responsibilities

Required Qualifications

Preferred Qualifications

Company Info

About Learn Beyond Consulting LLC

Dice Job Match Score™

Jay Bennett

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