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Ai Infrastructure Jobs (NOW HIRING)

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 ...

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 ...

AI Foundry

AI Infrastructure Engineer

Seattle, WA

$200K - $325K/yr

We are hiring multiple AI Infrastructure Engineers across data center infrastructure teams. Exact level, scope, and team placement may vary based on experience and business needs. AI Foundry is an AI ...

The LaSalle Group

AI Infrastructure Director

Chicago, IL · On-site

$300K/yr

They are hiring an AI Infrastructure Director to architect, lead, and scale that platform. This is a single-point-of-accountability role at the intersection of cloud infrastructure, AI platform ...

LaSalle Network

AI Infrastructure Director

Chicago, IL · On-site

$300K - $335K/yr

They are hiring an AI Infrastructure Director to architect, lead, and scale that platform. This is a single-point-of-accountability role at the intersection of cloud infrastructure, AI platform ...

The Josef Group

AI Infrastructure Engineer

Chantilly, VA

$110K - $144K/yr

AI Infrastructure Engineer Top Secret or TS/SCI is required to start $200K to $250K Chantilly, VA What You'll Do * Deploy and optimize self-hosted LLM inference servers (vLLM, Ollama, and similar)

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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 ...

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 ...

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 ...

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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
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Ai Infrastructure jobs near you
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.
AI Infrastructure Engineer

AI Infrastructure Engineer

Together AI

San Francisco, CA • On-site

$126K - $166K/yr

Full-time

Posted 6 days ago

Job description

Job Summary:
Together AI is a research-driven artificial intelligence company focused on creating innovative AI systems. 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 monitoring systems to ensure high-quality service.
Responsibilities:
• Participate in on-call rotation (Pagerduty) to respond to production incidents
• Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users
• Build monitoring systems to ensure the highest quality service for our customers
• Design and implement operational processes (such as deployments and upgrades)
• Debug production issues across all services and levels of the stack
• Identify improvements for the product architecture from the reliability, performance and availability perspectives
• Plan the growth of Together AI's infrastructure
Qualifications:
Required:
• 5+ years of professional AI Infra or related experience
• Bachelor's degree in Computer Science or a related field or equivalent work experience
• Knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes
• Proficiency in programming/scripting languages
• Direct experience in monitoring and observability practices
• Knowledge of cloud services
• Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts
Company:
Together AI provides a cloud platform for developing, training, fine-tuning, and deploying generative AI models. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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