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Ai Infrastructure Jobs (NOW HIRING)

Senior AI Infrastructure Engineer

Santa Clara, CA · On-site

$127K - $173K/yr

About the role We are seeking a Senior AI Infrastructure Engineer to design, build, and scale the high-performance AI platform powering our autonomous driving models. While researchers focus on ...

AI Infrastructure Engineer

Lake Mary, FL · Hybrid

$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 ...

AI Infrastructure Engineer

Lake Mary, FL · Hybrid

$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 ...

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 ...

About the role We are seeking a Senior AI Infrastructure Engineer to design, build, and scale the high-performance AI platform powering our autonomous driving models. While researchers focus on ...

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 ...

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 ...

AI Infrastructure Engineer

$110K - $144K/yr

They are seeking an AI Infrastructure Engineer to own the infrastructure and operational reliability that powers their AI systems, focusing on defining infrastructure patterns and building ...

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 ...

AI Infrastructure Engineer

New York, NY · On-site

$180K - $400K/yr

About the role We're hiring an AI Infrastructure Engineer to own the infrastructure, deployment, and operational reliability that powers Percepta's AI systems, including the autonomous agents at the ...

AI Infrastructure Engineer

New York, NY · Remote

$150K - $200K/yr

As vCluster's AI Infrastructure Specialist, you will work directly with customers at the earliest and most critical stage of their journey: from bare metal GPU nodes through to a production-ready ...

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Ai Infrastructure information

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How much do ai infrastructure jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for ai infrastructure in the United States is $59.18, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $68.99 per hour, depending on experience, location, and employer.

What is the difference between Ai Infrastructure vs Data Engineer?

AspectAi InfrastructureData Engineer
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of cloud platforms and AI toolsBachelor's in CS, Data Science, or related; programming and database skills
Work EnvironmentCloud environments, AI model deployment, infrastructure setupData pipelines, database management, data processing
Employer & Industry UsageTech companies, AI startups, cloud providersTech firms, finance, healthcare, e-commerce

Ai Infrastructure professionals focus on building and maintaining the hardware and software systems that support AI models, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate but serve different core functions within AI and data ecosystems.

How much do AI infrastructure engineers make?

AI infrastructure engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and hardware optimization can earn higher salaries, often exceeding $180,000 per year.

What are AI infrastructure jobs?

AI infrastructure jobs involve designing, building, and maintaining the hardware, software, and network systems necessary to support artificial intelligence applications. These roles often require knowledge of cloud computing, data centers, machine learning frameworks, and system optimization to ensure reliable and efficient AI model deployment and operation.

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

To thrive in AI Infrastructure, you need expertise in software engineering, distributed systems, cloud platforms, and a solid understanding of machine learning workflows, often supported by degrees in computer science or related fields. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud services (AWS, GCP, Azure), as well as experience with CI/CD pipelines and monitoring systems, is essential. Strong problem-solving abilities, effective communication, and adaptability help professionals excel in cross-functional teams and rapidly evolving environments. These skills and qualities are crucial for building scalable, reliable systems that power AI applications and support organizational innovation.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses that contribute to the high total compensation.

What are common challenges faced by professionals working in AI Infrastructure roles, and how can they be addressed?

Professionals in AI Infrastructure roles often encounter challenges related to scalability, system reliability, and integration with existing IT environments. Managing rapidly growing datasets and ensuring seamless deployment of machine learning models can be complex, requiring robust automation and monitoring tools. Collaboration with data scientists, software engineers, and DevOps teams is critical to ensure infrastructure meets the evolving needs of AI projects. Staying updated with the latest cloud technologies and best practices can help address these challenges and drive successful AI implementations.

What is AI Infrastructure?

AI infrastructure refers to the combination of hardware, software, and cloud-based solutions that support the development, deployment, and scaling of artificial intelligence applications. It includes components such as GPUs, CPUs, storage systems, networking, data management tools, and machine learning frameworks. The goal of AI infrastructure is to provide the computational power and resources needed to train, test, and run AI models efficiently, whether on-premises or in the cloud. Organizations invest in robust AI infrastructure to accelerate innovation, manage large datasets, and ensure the reliability of their AI systems.

What engineer makes $500,000 a year?

Senior AI infrastructure engineers or machine learning engineers with extensive experience, specialized skills, and advanced certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. These roles often require expertise in cloud platforms, distributed systems, and deep learning frameworks, along with leadership responsibilities and a strong track record of impactful projects.
More about Ai Infrastructure jobs
What cities are hiring for Ai Infrastructure jobs? Cities with the most Ai Infrastructure job openings:
What states have the most Ai Infrastructure jobs? States with the most job openings for Ai Infrastructure jobs include:
Infographic showing various Ai Infrastructure job openings in the United States as of June 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $123,103 per year, or $59.2 per hour.

Sr. Director, AI Infrastructure

Coupang

Mountain View, CA

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

Sr. Director Back-end Engineering - AI Infrastructure Orchestration

Company Introduction  

We exist to wow our customers. We know we're doing the right thing when we hear our customers say, "How did we ever live without Coupang?" Born out of an obsession to make shopping, eating, and living easier than ever, we're collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.  

We are proud to have the best of both worlds - a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.  

Our mission to build the future of commerce is real. We push the boundaries of what's possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. 

Role Overview 

         Strategy and Leadership

  • Define and execute the long-term vision and roadmap for the company's AI infrastructure orchestration layer, aligning it with overall business and AI Services goals.
  • Lead, mentor, and grow a high-performing engineering and operations team focused on AI infrastructure, and platform engineering.
  • Manage budget and resource allocation for AI infrastructure delievrables.
  • Act as a key liaison between AI Infra and other services owners and consumers, core engineering, Cloud infrastructure, and executive leadership.
        AI Infra Development and Operations
  • Oversee the design, implementation, and maintenance of the core orchestration platforms for large-scale AI model training (e.g., distributed training, hyperparameter tuning) and deployment (e.g., containerization, serverless functions, edge deployment).
  • Ensure reliability, security, and compliance of the AI infrastructure, meeting strict standards for data governance and model integrity.
  • Establish Service Level Objectives (SLOs) and Key Performance Indicators (KPIs) for the AI platform services and lead efforts for continuous optimization and performance tuning.

       Success Metrics

       A successful Senior Director - AI Infrastructure Orchestration will be measured by:

  • The time-to-market for AI Infar build, scale and operate
  • The resource utilization rate and cost efficiency of the AI compute infrastructure.
  • The reliability and uptime of the core AI platform services.
  • The talent retention and development within the AI Infrastructure team.
       Technology and Architecture
  • Select, evaluate, and integrate the core technologies required for the AI stack (e.g., Kubernetes, Kubeflow, Ray, ML frameworks, GPU/accelerator management, distributed file systems).
  • Champion infrastructure-as-code (IaC) principles to manage and provision AI resources consistently and at scale.
Basic Qualifications  

        Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

        Experience:

  • 15+ years of progressive experience in software engineering, infrastructure, or platform operations.
  • 5+ years of experience leading and managing technical teams, ideally in a Director or Sr. Director level or equivalent capacity.
  • Deep, hands-on experience designing and operating large-scale distributed systems and cloud-native architectures
  • Proven experience specifically with AI infrastructure orchestration (e.g., using Kubernetes, Kubeflow, or similar MLOps tools) and managing acceleratedcompute resources (GPUs, TPUs etc).
  • 15+ years of Cloud backend engineering, Cloud Design, Deployment, DevOps
  • 15+ years of experience leading system design, architecture leveraging Private Clouds and AWS and/or Azure/ GCP.
  • 10+ years of demonstrable building and operating infrastructure as code. Infra Automation, Comfortable with many flavors of Linux
  • 15+ year's of experience in building high-performance, highly-available and scalable distributed systems in the cloud.
  • 15+ year's of experience in building and managing high-performance, highly-available and scalable Hybrid Cloud cloud environments .
  • Excellent cross-group collaboration, outstanding verbal and written communication.

       Skills:

  • Expert-level knowledge of containerization and orchestration (Docker, Kubernetes).
  • Strong background in DevOps and MLOps principles and tooling.
  • Proficiency in at least one modern programming language (e.g., Python, Go).
  • Exceptional strategic planning, organizational, and written/verbal communication skills.
Preferred Qualifications:
  • Prior experience managing infrastructure for training and inferecning of large language models (LLMs) or foundation models.
  • Experience in a regulated industry with strict compliance requirements.
  • AI Private Cloud -Building and operating

Pay & Benefits: 

Our compensation reflects the cost of labor across several US geographic markets. At Coupang, your base pay is one part of your total compensation.  

The base pay for this position ranges from $184,000/year in our lowest geographic market to $376,000/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. 

General Description of All Benefits:   

  • Medical/Dental/Vision/Life, AD&D insurance  
  • Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
  • Long-term/Short-term Disability
  • Employee Assistance Program (EAP) program
  • 401K Plan with Company Match
  • 18-21 days of the Paid Time Off (PTO) a year based on the tenure
  • 12 Public Holidays
  • Paid Parental leave
  • Pre-tax commuterbenefits
  • MTV - [Free] Electric Car Charging Station   

General Description of Other Compensation:  

"Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.   

Details to Consider 

  • This job posting may be closed prior to the stated end date for application if all openings are filled.
  • Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
  • Those eligible for employment protection (recipients of veteran's benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 

Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

Privacy Notice  

  • Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/  

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com.