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Flex Ai Infrastructure Engineer Jobs in Georgia (NOW HIRING)

Manus Bio

Cloud & Infrastructure Engineer

Augusta, GA · On-site

$101K - $132K/yr

Cloud & Infrastructure Engineer Augusta, GA United States, Full-Time Manus works across industries ... Experience with AI, generative AI, and AI-enabled infrastructure and automation is preferred as ...

New

Manus Bio

Cloud & Infrastructure Engineer

Augusta, GA

$101K - $132K/yr

Cloud & Infrastructure Engineer Augusta, GA United States, Full-Time Manus works across industries ... Experience with AI, generative AI, and AI-enabled infrastructure and automation is preferred as ...

New

Manus

Cloud & Infrastructure Engineer

Augusta, GA

$84K - $111K/yr

Cloud & Infrastructure Engineer Augusta, GA United States, Full-Time Manus works across industries ... Experience with AI, generative AI, and AI-enabled infrastructure and automation is preferred as ...

New

YO AI Labs

Infrastructure Expert - Remote

Atlanta, GA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform ...

Truist

Sn. Infrastructure Engineer

Atlanta, GA · On-site

$103K - $135K/yr

Truist is a financial services company seeking a Senior Infrastructure Engineer. The role involves ... with AI coding agents and assistants (e.g., GitLab Duo, GitHub Copilot, or similar) as ...

Apex Systems

Azure Infrastructure Engineer

Cumming, GA · On-site

$95K - $125K/yr

Job#: 3047058 Azure Infrastructure Engineer Location: REMOTE Role Overview The Enterprise ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

RoadSync

Infrastructure Engineer

Atlanta, GA · Hybrid

$103K - $135K/yr

We are embracing AI-assisted development workflows and seeking engineers who can leverage tools ... Fluency with infrastructure-as-code in Terraform or AWS CDK, including module design, state ...

Socket.dev

Infrastructure Engineer

Atlanta, GA · On-site

$120 - $170/hr

We are embracing AI-assisted development workflows and seeking engineers who can leverage tools ... Fluency with infrastructure-as-code in Terraform or AWS CDK, including module design, state ...

Deloitte

Azure/Databricks Infrastructure Engineer

Atlanta, GA · On-site

$53.50 - $71.75/hr

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement ...

RoadSync

Infrastructure Engineer

Atlanta, GA · On-site

$120 - $170/hr

We are embracing AI-assisted development workflows and seeking engineers who can leverage tools ... Fluency with infrastructure-as-code in Terraform or AWS CDK, including module design, state ...

Deloitte

Azure/Databricks Infrastructure Engineer

Atlanta, GA · On-site

$53.50 - $71.75/hr

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement ...

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Flex Ai Infrastructure Engineer information

What is the difference between Flex Ai Infrastructure Engineer vs Data Center Technician?

AspectFlex Ai Infrastructure EngineerData Center Technician
Required CredentialsBachelor's in Computer Science or related field, certifications like Cisco CCNA or CompTIA Network+High school diploma or equivalent, technical certifications preferred
Work EnvironmentDesigning, deploying, and maintaining AI infrastructure in data centers or cloud environmentsMaintaining and troubleshooting physical data center hardware and network equipment
Industry UsageUsed in AI-focused companies, cloud providers, and tech firmsCommon in data centers, telecom, and enterprise IT facilities
Common Search/ComparisonOften compared for infrastructure roles supporting AI systemsCompared for hardware and network support roles in data centers

The Flex Ai Infrastructure Engineer focuses on designing and maintaining AI infrastructure, often involving cloud and data center environments, while the Data Center Technician handles physical hardware and network troubleshooting within data centers. Both roles require technical skills but differ in scope and responsibilities.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Georgia?

The most popular types of Ai Infrastructure Engineer jobs in Georgia are:

What cities in Georgia are hiring for Flex Ai Infrastructure Engineer jobs?

Cities in Georgia with the most Flex Ai Infrastructure Engineer job openings:

Flex Ai Infrastructure Engineer jobs near you

AI/ML Ops & Infrastructure Engineer - Q126

R2 Technologies Corporation

Alpharetta, GA • On-site

$105K - $137K/yr

Full-time

Re-posted 29 days ago

Job description

Overview:
Job Title: AI/ML Ops & Infrastructure Engineer
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.
Job Summary: The shift from classical Machine Learning to Generative AI requires a new breed of infrastructure engineering. R2 Technologies is looking for an AI/ML Ops & Infrastructure Engineer to build and manage the operational backbone for our advanced LLM and agentic systems. You will transition beyond basic CI/CD to implement full-lifecycle LLMOps-managing foundation models, fine-tuned adapters, routing logic, and guardrails. Your work will ensure that our AI solutions, including SmartEnt, run with high performance, optimal GPU utilization, and rigorous compliance.
Key Responsibilities: * Design and maintain highly scalable LLMOps pipelines for continuous integration, evaluation, and deployment of machine learning models and AI agents.
  • Deploy and manage containerized AI applications and model inference servers (e.g., vLLM, Ray Serve, NVIDIA Triton) on Kubernetes across multi-cloud environments (AWS, GCP, Azure).
  • Implement comprehensive observability and trace-level logging for multi-step agentic workflows using platforms like LangSmith, W&B Weave, or MLflow.
  • Automate infrastructure provisioning and monitoring using tools like Terraform and agent-driven workflows (e.g., n8n, GitHub Actions).
  • Optimize GPU computing costs, latency, and token usage for high-traffic AI inference endpoints.
  • Enforce security guardrails, toxic output filtering, and robust access policies within the AI deployment infrastructure.
  • Actively utilize AI-assisted coding tools (Copilot, Cursor) to automate infrastructure-as-code (IaC) and streamline Kubernetes management.

Qualifications: *3 years of hands-on experience in MLOps, DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure.
  • Strong proficiency in containerization and orchestration (Docker, Kubernetes).
  • Experience with ML/LLM operational platforms (MLflow, Weights & Biases, Databricks Mosaic AI, or SageMaker).
  • Familiarity with serving open-source or fine-tuned LLMs and optimizing inference performance.
  • Proven experience or strong familiarity working alongside AI coding assistants to enhance productivity.
  • Scripting/programming skills in Python and bash, along with experience in CI/CD automation.
  • Passion for the evolving landscape of AI infrastructure, cost-optimization (FinOps), and system reliability.

Skills:
Nvidia,Infrastructure

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