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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 ...

Lorvin Technologies

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$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 ...

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 ...

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Ai Infrastructure Engineer information

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$46.5K

$127.1K

$182K

How much do ai infrastructure engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for ai infrastructure engineer in the United States is $127,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $141,000.00 per year, depending on experience, location, and employer.

How much do AI infra engineers make?

AI infrastructure engineers typically earn between $100,000 and $150,000 annually, with salaries increasing based on experience, skills in cloud platforms, and knowledge of machine learning frameworks. Senior roles or those with specialized expertise can earn over $180,000 per year.

What does a typical day look like for an AI Infrastructure Engineer?

A typical day for an AI Infrastructure Engineer often involves designing and maintaining the underlying systems that support machine learning and AI workloads, such as setting up scalable cloud environments, automating workflows with CI/CD pipelines, and troubleshooting performance bottlenecks. You might collaborate closely with data scientists and software engineers to ensure seamless integration between AI models and production infrastructure. Daily activities can include writing and reviewing infrastructure-as-code, monitoring system health, and responding to incidents or scaling requests as needed. This role offers a dynamic mix of hands-on technical work, problem-solving, and teamwork, providing opportunities to refine your skills and contribute meaningfully to cutting-edge AI projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, research scientist, or AI director, often offering top-tier compensation due to expertise, experience, and the strategic importance of AI projects. These roles usually require advanced skills in machine learning, deep learning, and data infrastructure, along with significant industry experience and sometimes advanced degrees or certifications.

What are the key skills and qualifications needed to thrive in the Ai Infrastructure Engineer position, and why are they important?

To thrive as an AI Infrastructure Engineer, a strong background in computer science, cloud computing, and distributed systems is typically required, often supported by a degree in a related field. Familiarity with tools like Kubernetes, Docker, TensorFlow, and cloud platforms (AWS, Azure, or GCP), along with certifications in cloud technologies or DevOps, is highly valuable. Strong problem-solving abilities, collaboration, and effective communication skills are essential to excel within multidisciplinary engineering teams. These competencies ensure the reliable deployment, scaling, and optimization of AI workloads in dynamic production environments.

What does an AI Infrastructure Engineer do?

An AI Infrastructure Engineer designs, builds, and maintains the computing systems that support AI and machine learning workloads. They manage cloud services, optimize hardware and software performance, and ensure scalability for AI models. Their work involves configuring GPUs, CPUs, storage, and networking, as well as automating workflows with DevOps and MLOps tools. They collaborate with data scientists and engineers to streamline AI development and deployment. Their goal is to create reliable, efficient, and scalable AI infrastructure.

What do AI infrastructure engineers do?

AI infrastructure engineers design, build, and maintain the hardware and software systems that support artificial intelligence models and applications. They work with cloud platforms, high-performance computing, and data storage solutions, often using tools like Kubernetes and Docker, to ensure scalable and efficient AI operations.

What engineers make $500,000?

Senior AI Infrastructure Engineers, cloud architects, and machine learning engineers with extensive experience and advanced skills in AI systems, cloud platforms, and distributed computing can reach or exceed $500,000 in total compensation, especially in high-demand industries or companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of impactful projects.
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Ai Infrastructure Engineer jobs near you
Infographic showing various Ai Infrastructure Engineer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $127,066 per year, or $61.1 per hour.

AI Infrastructure Engineer

Mango Analytics

Fort Mill, SC • On-site

$94K - $123K/yr

Other

Posted 4 days ago

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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