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Internship Ai Infrastructure Engineer Jobs (NOW HIRING)

Palona AI

AI Infrastructure Engineer

New York, NY · On-site

$117K - $154K/yr

We are looking for an Infrastructure Engineer who combines cloud and reliability depth with strong software engineering judgment. You will build and operate the platform beneath Palona's AI products ...

Axon

AI Infrastructure Engineer

Boston, MA · On-site

$116K - $153K/yr

AI Infrastructure Engineer, Corporate AI Team Team & Role Overview Axon's Corporate AI Team sits within Business Technology and builds internal-facing AI solutions that help employees reduce manual ...

Palona AI

AI Infrastructure Engineer

Los Altos, CA · On-site

$127K - $167K/yr

We are looking for an Infrastructure Engineer who combines cloud and reliability depth with strong software engineering judgment. You will build and operate the platform beneath Palona's AI products ...

Palona AI

AI Infrastructure Engineer

New York, NY · On-site

$117K - $154K/yr

We are looking for an Infrastructure Engineer who combines cloud and reliability depth with strong software engineering judgment. You will build and operate the platform beneath Palona's AI products ...

Barrow Wise Consulting

AI Infrastructure Engineer

Norco, CA · On-site +1

$115K - $151K/yr

The AI Infrastructure Engineer will support Barrow Wise and perform the following duties: * Assess legacy infrastructure, identify modernization gaps, and design the next-generation AI + Data Mesh ...

Palona AI

AI Infrastructure Engineer

Los Altos, CA · On-site

$150 - $230/hr

We are looking for an Infrastructure Engineer who combines cloud and reliability depth with strong software engineering judgment. You will build and operate the platform beneath Palona's AI products ...

Palona AI

AI Infrastructure Engineer

Los Altos, CA · On-site

$127K - $167K/yr

We are looking for an Infrastructure Engineer who combines cloud and reliability depth with strong software engineering judgment. You will build and operate the platform beneath Palona's AI products ...

Palona AI

AI Infrastructure Engineer

New York, NY · On-site

$117K - $154K/yr

We are looking for an Infrastructure Engineer who combines cloud and reliability depth with strong software engineering judgment. You will build and operate the platform beneath Palona's AI products ...

Reveille Technologies

AI Infrastructure Engineer

Austin, TX · On-site

$106K - $139K/yr

Hi, Job Title : AI Infrastructure Engineer Location : Austin, TX or Fort mill, SC Duration: Fulltime or Contract Candidates must demonstrate strong hands-on expertise in Python, live coding ...

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 ...

Hedge Fund

AI Infrastructure Engineer

Manhattan, NY · On-site

$150 - $230/hr

Multi-Strategy / Multi-Manager hedge fund is seeking an AI Platform Engineer to design, build, and scale the foundational infrastructure that enables AI-driven development across the organization.

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 ...

HCLTech

AI Infrastructure Engineer L3

Santa Clara, CA · On-site

$125K - $164K/yr

AI Infrastructure Engineer L3 Location: Santa Clara, CA Experience: 10 plus Years Employment Type: Full-Time About HCLTech HCLTech is a global technology company with over 220,000 professionals ...

BlackRock, Inc.

AI Infrastructure Engineer

New York, NY · On-site

$117K - $154K/yr

YOUR ROLE AND IMPACT As an AI-Enabled Infrastructure and Systems Engineer, you will combine deep infrastructure expertise with modern software engineering practices to design, build, and operate the ...

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · Remote

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 ...

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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 Aug 30, 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 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.

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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 August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

AI Infrastructure Engineer

Barrow Wise Consulting

Norco, CA • On-site

$90K - $180K/yr

Full-time

Posted 10 days ago

Job description

Enjoy problem-solving, need a venue to display your creativity, and emerging technologies pique your interest; if so, Barrow Wise Consulting, LLC is for you. As a multi-disciplined leader, you understand the gifts that set you apart from everyone else. Demonstrate innovative solutions to our clients. Join Barrow Wise Consulting, LLC today.
Responsibilities:
The AI Infrastructure Engineer will support Barrow Wise and perform the following duties:
  • Assess legacy infrastructure, identify modernization gaps, and design the next-generation AI + Data Mesh infrastructure + Zero Trust 2.0 for federal mission environments.
  • Blend AI platform engineering, secure distributed data architecture, and classified-environment deployment engineering.
  • Evaluate current systems, design modernization roadmaps, and build secure, scalable AI infrastructure capable of supporting agentic AI, RAG pipelines, autonomous workflows, and distributed data governance.
  • Identify gaps in scalability, observability, compliance, and AI readiness.
  • Design and implement scalable AI infrastructure for model inference, RAG, vector databases, agentic AI, and high-performance GPU workloads.
  • Build deterministic, well-tested deployment tooling for air-gapped, on-prem, and classified environments.
  • Produce modernization roadmaps aligned with federal cybersecurity and zero-trust requirements.
  • Collaborate with stakeholders to understand the gaps and required improvements in the various enclaves
  • Performs other duties as assigned

An Ideal Candidate has:
  • US Citizenship and Secret Clearance
  • Master's Degree or PhD in Engineering, Computer Science, Mathematics, or a related field
  • 8 years of systems engineering and AI infrastructure development expertise

Barrow Wise Consulting, LLC offers an ethical, challenging, diverse, and rewarding experience. Join us and become part of an enthusiastic, responsible team that delivers innovative solutions to our clients. We provide competitive compensation packages, attractive benefits, and great careers. Barrow Wise is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LBGT.
Our employees stand behind Barrow Wise's core values of integrity, quality, innovation, and diversity. We are confident that Barrow Wise's core values, business model, and team focus create positive career paths for our employees. Barrow Wise will continue to lead the industry in delivering new solutions to clients and persevere until the client is overjoyed.

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