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Internship Ai Infrastructure Engineer Jobs in Powder Springs, GA

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 ...

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 ...

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 ...

Deloitte

AI Datacenter Associate VP

Atlanta, GA · Hybrid

AI Datacenter & Infrastructure Associate VP Join our AI & Engineering team and help transform technology platforms, drive innovation, and make a significant impact on our clients' success. You'll ...

PGTEK

HPC Infrastructure Engineer - Travel role

Atlanta, GA · On-site

$90K - $100K/yr

Infrastructure / High-Performance Computing (HPC) Support Engineer We are seeking an Infrastructure ... Experience supporting High-Performance Computing (HPC), AI, GPU, or clustered compute environments

PGTEK

HPC Infrastructure Engineer - Travel role

Atlanta, GA · On-site

$90K - $100K/yr

Infrastructure / High-Performance Computing (HPC) Support Engineer We are seeking an Infrastructure ... Experience supporting High-Performance Computing (HPC), AI, GPU, or clustered compute environments

4p-Consulting-Inc.

DevOps Engineer IV 4P/763

Atlanta, GA · On-site

$120 - $170/hr

... s Engineer IV Location: Atlanta, GA Duration: 6 Months Client: Southern Company Services Job ... Build scalable AI infrastructure and integrate governance into deployment pipelines. * Monitor AI ...

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Internship Ai Infrastructure Engineer information

See Powder Springs, GA salary details

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How much do internship ai infrastructure engineer jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for internship ai infrastructure engineer in Powder Springs, GA is $18.29, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $19.81 per hour, depending on experience, location, and employer.

What does an internship AI infrastructure engineer do?

An Internship AI Infrastructure Engineer assists in designing, developing, and maintaining the foundational systems that support artificial intelligence (AI) applications. They work with cloud platforms, data pipelines, and scalable computing resources to ensure that AI models can be trained and deployed efficiently. Interns may help automate workflows, optimize performance, and collaborate with data scientists and software engineers. The role provides hands-on experience with the tools and frameworks commonly used in AI engineering environments.

What types of projects and responsibilities can an internship AI infrastructure engineer expect to work on?

As an AI Infrastructure Engineer intern, you can expect to be involved in projects that support the development, deployment, and scaling of AI models. Typical responsibilities may include optimizing data pipelines, maintaining and improving cloud or on-premise computing resources, and collaborating closely with data scientists to ensure efficient model training and inference. Interns often get hands-on experience with tools such as Docker, Kubernetes, and various cloud platforms, and work in cross-functional teams to troubleshoot and enhance AI workflows. This role provides a solid foundation in both software engineering and AI operations, preparing you for advanced positions in the field.

What are the key skills and qualifications needed to thrive as an internship AI infrastructure engineer, and why are they important?

To thrive as an Internship AI Infrastructure Engineer, you need a solid understanding of computer science fundamentals, programming (especially in Python or C++), and basic knowledge of machine learning frameworks, often supported by ongoing studies in a relevant field. Familiarity with cloud platforms (like AWS, GCP, or Azure), version control systems (such as Git), and containerization tools (Docker, Kubernetes) is typically expected. Strong problem-solving abilities, curiosity, teamwork, and effective communication help interns stand out and integrate quickly into engineering teams. These skills are crucial for supporting scalable AI solutions, collaborating on complex projects, and contributing meaningfully in a fast-evolving technical environment.

What is the difference between Internship Ai Infrastructure Engineer vs Data Engineer?

AspectInternship Ai Infrastructure EngineerData Engineer
Required CredentialsEnrolled in or recent graduate of Computer Science, Engineering, or related fields; some knowledge of AI and infrastructure toolsBachelor's or higher in Computer Science, Data Science, or related; experience with databases and data pipelines
Work EnvironmentInternship setting, collaborative teams, learning-focusedFull-time, technical teams managing data systems and pipelines
Employer & Industry UsageTech companies, AI startups, research labsTech firms, finance, healthcare, and other data-driven industries

The Internship Ai Infrastructure Engineer role focuses on supporting AI infrastructure projects during an internship, emphasizing learning and assisting with AI systems setup. In contrast, Data Engineers build and maintain data pipelines and infrastructure for data analysis. While both roles require knowledge of technical tools, the internship role is more entry-level and learning-oriented, whereas Data Engineers are more experienced and responsible for ongoing data management.

What cities near Powder Springs, GA are hiring for Internship Ai Infrastructure Engineer jobs?

Cities near Powder Springs, GA with the most Internship Ai Infrastructure Engineer job openings:

Internship Ai Infrastructure Engineer jobs near you

AI Cloud Security and Infrastructure Engineer

Atlanta, GA • On-site

Troutman Pepper
See more jobs at Troutman Pepperexternal

$137K/yr

Full-time

Re-posted 14 days ago

Job description

We are always seeking talented, motivated, growth-minded, and creative individuals. Our firm is committed to providing employee support and advancement, while embracing inclusion and innovation as keys to a stronger future.
We invite you to explore the position below and to submit your application to join our team!
The AI Cloud Security and Infrastructure Engineer designs, implements, and maintains secure, scalable cloud environments optimized for AI-driven applications and focuses on enabling the eMerge Custom Solutions team to securely build and deploy solutions powered by Large Language Models (LLMs) and other advanced AI technologies. The AI Cloud Security and Infrastructure Engineer ensures strong security, compliance, and performance across hybrid infrastructures while fostering innovation in AI development workflows.
Essential Duties and Responsibilities:
  • Design and run secure, highly scalable cloud infrastructures (Azure, AWS, GCP) tailored for AI workloads and data-intensive applications.
  • Build and manage infrastructure-as-code (IaC) using tools such as Terraform, Pulumi, Azure ARM templates.
  • Develop, implement, and enforce security best practices for AI pipelines, including data encryption, identity and access management, PKI, and zero-trust architectures.
  • Maintain compliance with key industry standards, frameworks, and regulations (ISO 27001, ISO 27701, ISO 42001, GDPR, CCPA, CMMC Level 2).
  • Partner with software engineering and cross-functional teams to secure CI/CD pipelines and clearly communicate technical risk and compliance information to executive stakeholders.
  • Secure, optimize, and continuously monitor containerized environments for LLM deployments leveraging Docker and Kubernetes.
  • Support infrastructure for fine-tuning, hosting, and scaling LLMs (OpenAI, Hugging Face, Azure OpenAI Service), including management of GPU/TPU resources.
  • Configure and oversee DNS, core networking services, and SIEM platforms (e.g., Microsoft Sentinel) to support threat detection, incident triage, and compliance reporting.
  • Perform security and risk assessments for AI infrastructure and data pipelines and drive the execution of mitigation strategies.
  • Implement and maintain observability tools (Datadog, Prometheus, Grafana) for AI systems and lead incident response efforts for security breaches and critical system outages.
  • Support with data asset inventory, tracking, and media auditing to strengthen data governance and control.
  • Maintain strict confidentiality of information.

Knowledge, Skills, and Abilities:
  • Deep expertise in PKI, encryption standards, and cryptographic hashing methods.
  • Advanced understanding of core networking concepts, DNS, and securing web services.
  • Solid knowledge of key compliance frameworks, including ISO 27001, ISO 27701, ISO 42001, and CMMC L2.
  • Exceptional written and verbal communication skills, with the ability to effectively engage both technical and non-technical stakeholders and the ability to clearly communicate complex technical concepts to non-technical stakeholders.
  • Demonstrated reliability and integrity in managing and safeguarding sensitive information.
  • Understanding of data governance principles and secure end-to-end model lifecycle management.
  • Familiarity with prompt engineering practices and techniques for optimizing large language models (LLMs).
  • Strong skills in creating clear documentation and delivering effective presentations.
  • Proven capability to troubleshoot and solve problems under pressure and tight deadlines.
  • Excellent team-oriented service approach and professional client-facing demeanor.

Education and/or Experience:
  • Bachelor's degree, or equivalent combination of training, education, and experience that demonstrates the ability to perform the core responsibilities of the role.
  • Minimum five (5) years of experience in cloud infrastructure engineering with a strong emphasis on security.
  • Relevant certifications, such as Microsoft Certified: Azure Security Engineer Associate, Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), Certified Information Security Manager (CISM), AI Governance Professional (AIGP).
  • Experience designing and managing AI/ML pipelines and implementing DevSecOps practices.
  • Experience securing containerized environments, including Kubernetes and Docker.
  • Hands-on expertise with Kubernetes, Docker, and infrastructure-as-code (IaC) tools (e.g., Terraform, ARM templates).
  • Experience working with MLOps platforms such as MLflow and Kubeflow.
  • Experience implementing and operating SIEM solutions, preferably Microsoft Sentinel.

#LI-Hybrid
The Firm will comply with any applicable city or state workplace mandates in effect in regards to Covid-19.
This position description is intended to describe the general content of and requirements for the performance of the job. The statements contained in the position description are not necessarily all-inclusive and additional duties and responsibilities may be assigned as determined by business needs.
This position description does not constitute a written or implied contract of employment.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
By applying for this position, you agree and understand that Troutman Pepper Locke will process your Personal Information pursuant to the terms of our Worker and Applicant Global Privacy Notice. If you have questions about our data handling practices, or you are a resident of California, the United Kingdom, or the European Union and wish to exercise your privacy rights, please contact us at privacy@troutman.com.
Equal Employment Opportunity
Troutman Pepper Locke adheres to a policy of equal opportunity and will make all employment decisions, which include hiring, promotion, transfer, demotion, evaluation, compensation and separation, without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, pregnancy, citizenship, disability, genetic information, marital or armed forces status and any other classification as protected by law.
Compensation is dependent on several factors, such as position, location, market, education, training, and/or experience.
Hiring Salary Range:
$130,000.00 - $150,000.00

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