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Internship Ai Infrastructure Engineer Jobs (NOW HIRING)

Mango Analytics

AI Infrastructure Engineer

Fort Mill, SC · On-site

$94K - $123K/yr

We are seeking a proactive and innovative AI Infrastructure Engineer to work directly with our LPL infrastructure teams. The ideal candidate will identify opportunities for automation, build AI ...

New

Together AI

AI Infrastructure Engineer

San Francisco, CA

$190K - $270K/yr

As an AI Infrastructure Engineer at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software ...

ScrumLink, Inc.

AI Infrastructure Engineer

Fort Mill, SC · On-site

$94K - $123K/yr

AI Infrastructure Engineer (Forward Deployed AI Engineer) Location: Fort Mill, SC Duration : 12+ Months Total positions : 8 Roles Responsibilities: * Embed within infrastructure teams to understand ...

New

Together AI

AI Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

As an AI Infrastructure Engineer, you will be responsible for maintaining user-facing services and production systems, implementing best practices for availability and scalability, and building ...

Together AI

AI Infrastructure Engineer

San Francisco, CA · On-site

$190K - $270K/yr

As an AI Infrastructure Engineer at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software ...

OVA.Work

AI Infrastructure Engineer

$110K - $144K/yr

Work is seeking an AI Infrastructure Engineer to design, implement, and manage the infrastructure that powers AI and machine learning workloads. The role involves building scalable and secure ...

Wipro Limited

AI Infrastructure Engineer

San Jose, IL · On-site

$45K - $121K/yr

AI Infrastructure Engineer City: San Jose State/Province: California Posting Start Date: 7/9/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting ...

Seekr

Staff AI Infrastructure Engineer

Austin, TX

$106K - $139K/yr

As a Staff AI Infrastructure Engineer, you will design, build, and operate the platforms that enable large-scale training, serving, evaluation, and deployment of foundation models and autonomous AI ...

BNY

AI Infrastructure Engineer

Lake Mary, FL · On-site

$94K - $123K/yr

They are seeking an AI Infrastructure Engineer to support enterprise-grade NVIDIA AI infrastructure, automate operations, and maintain AI training and inference pipelines. Responsibilities : • Be ...

BNY

AI Infrastructure Engineer

Lake Mary, FL · On-site

$94K - $123K/yr

They are seeking an AI Infrastructure Engineer to support enterprise-grade NVIDIA AI infrastructure, automate operations, and maintain AI training and inference pipelines. Responsibilities : • Be ...

Seekr

Staff AI Infrastructure Engineer

Austin, TX · On-site

$106K - $139K/yr

As a Staff AI Infrastructure Engineer, you will design, build, and operate the platforms that enable large-scale training, serving, evaluation, and deployment of foundation models and autonomous AI ...

Analogdevices

Senior AI Infrastructure Engineer

Wilmington, MA · Hybrid

$118K - $161K/yr

Senior AI Infrastructure Engineer, Developer Experience Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the ...

MeshyAI

AI Infrastructure Engineer

Sunnyvale, CA · On-site

$125K - $164K/yr

The AI Infrastructure Engineer role involves ensuring the reliability and scalability of the AI model serving stack, while developing core engineering infrastructure to connect models to product ...

Seekr

Senior AI Infrastructure Engineer

Austin, TX

$107K - $146K/yr

As a Senior AI Infrastructure Engineer, you will design, build, and operate the platforms that enable large-scale training, serving, evaluation, and deployment of foundation models and autonomous AI ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · Remote

$170K - $210K/yr

The AI Infrastructure Engineer is responsible for designing, building, and owning the end-to-end infrastructure that serves Utilidata's AI and ML models across edge deployments, cloud environments ...

BNY Mellon

AI Infrastructure Engineer

Lake Mary, FL · On-site

$94K - $123K/yr

AI Infrastructure Engineer At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global ...

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Internship Ai Infrastructure Engineer information

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

As of Jul 20, 2026, the average hourly pay for internship ai infrastructure engineer in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

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 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 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 types of projects and responsibilities can an AI Infrastructure Engineer intern 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.
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Internship Ai Infrastructure Engineer jobs near you
Infographic showing various Internship Ai Infrastructure Engineer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

AI Infrastructure Engineer

Mango Analytics

Fort Mill, SC • On-site

$94K - $123K/yr

Other

Posted 7 days ago

New

Job description

Job Summary: We are seeking a proactive and innovative AI Infrastructure Engineer to work directly with our LPL infrastructure teams. The ideal candidate will identify opportunities for automation, build AI-powered solutions, and enhance engineering productivity. This role requires a strong foundation in Python development, infrastructure engineering, and a deep understanding of GitHub tools.

 

Responsibilities:

  • Embed within infrastructure teams to understand workflows and identify automation opportunities.
  • Independently identify and implement automation solutions.
  • Build AI-assisted solutions utilizing Cursor and GitHub Copilot.
  • Develop infrastructure automation processes to streamline operations.
  • Create AI workflows and AI agents to enhance productivity.
  • Modernize existing infrastructure platforms for improved performance.
  • Enhance cloud migration efficiency through innovative solutions.
  • Automate vulnerability remediation processes.
  • Mentor existing engineering teams on best practices and AI adoption.
  • Promote AI adoption across the organization to drive efficiency.
  • Deliver measurable productivity improvements through automation.
  • Rapidly demonstrate proof-of-concepts to stakeholders.
  • Collaborate closely with business and infrastructure leaders to align on goals.

 

Mandatory Skills:

  • Strong proficiency in Python development.
  • Experience in infrastructure engineering.
  • Familiarity with cloud platforms, preferably AWS.
  • Expertise in Infrastructure as Code (IaC).
  • Proficient in GitHub Copilot and Cursor AI.
  • Knowledge of prompt engineering and LLM-based software development.
  • Experience with AI-assisted coding practices.
  • Strong understanding of DevOps principles and automation.
  • Proficient in APIs and scripting.
  • Excellent problem-solving skills and a self-starter mindset.
  • Strong communication skills to convey complex ideas effectively.

 

Qualifications:

  • 3-5 years of relevant experience in AI infrastructure engineering.
  • Proven track record of delivering automation solutions that reduce manual effort.
  • Demonstrated ability to influence and mentor engineering teams.
  • Strong collaborative skills and ability to work in ambiguous environments.
  • Outcome-focused with a commitment to driving measurable improvements.

 

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