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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 ...

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 ...

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 ...

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

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 ...

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 ...

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 ...

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

$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 ...

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 ...

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 ...

BlackRock

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 ...

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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 Aug 26, 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.

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 are the key skills and qualifications needed to thrive as an AI infrastructure engineer?

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 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.

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 may earn higher salaries, often exceeding $180,000. Compensation can also include bonuses and stock options in tech companies.
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Ai Infrastructure Engineer jobs near you
Infographic showing various 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 $127,066 per year, or $61.1 per hour.

AI Infrastructure Engineer

New York, NY • On-site

Palona AI
See more jobs at Palona AIexternal

$117K - $154K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

Palona's AI agents operate continuously in production, handle real-time guest interactions, integrate with restaurant systems, and face sharp traffic peaks. Infrastructure is therefore part of the product: latency, reliability, deployment safety, observability, security, and cost directly shape the guest and operator experience.
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, improve how engineers ship, and turn production signals into durable system improvements. This is not a ticket-driven IT or operations role. You will write production code, design systems, automate repetitive work, and own outcomes across the full service lifecycle.
Our current environment includes Python services, Docker, AWS and selected Azure services, ECS and Lambda workloads, API Gateway, load balancers, relational data systems, OpenTofu/Terraform, Datadog, and CI/CD automation. We value the ability to learn and make sound tradeoffs more than exact tool-for-tool matching.
What you will own:
  • Design, build, and evolve secure, scalable cloud infrastructure for real-time AI services and customer-facing applications.
  • Improve service reliability through clear SLOs, actionable observability, capacity planning, failure testing, and pragmatic incident prevention.
  • Build deployment and release systems that make production changes fast, repeatable, auditable, and safe.
  • Own infrastructure as code, environment consistency, and reusable platform patterns across development, staging, and production.
  • Partner with product and AI engineers on architecture, performance, data flows, and operational readiness for new capabilities.
  • Diagnose complex distributed-system failures across application, network, database, model-provider, and third-party integration boundaries.
  • Reduce infrastructure and model-serving cost without compromising customer experience or engineering velocity.
  • Strengthen secrets management, access controls, backup and recovery, vulnerability management, and other practical security foundations.
  • Build internal tooling and paved paths that let engineers ship and operate services with less manual work.
  • Participate in incident response and turn incidents into better systems, automation, documentation, and engineering judgment.

Requirements
  • 3+ years industrial experience in relevant technical domain.
  • Strong software engineering fundamentals and experience building or operating production distributed systems.
  • Hands-on experience with a major cloud platform; AWS experience is especially relevant.
  • Experience with containers, infrastructure as code, CI/CD, monitoring, alerting, and production debugging.
  • Ability to write reliable automation and services in Python or another modern programming language.
  • Sound judgment around availability, latency, scalability, security, and cost tradeoffs.
  • A track record of taking ambiguous operational problems from diagnosis through durable resolution.
  • Clear communication during architecture reviews, launches, and incidents.
  • AI-native working habits and curiosity about the operational behavior of LLM- and agent-powered systems.

Benefits
  • Competitive Salary and Stock Option Plan.
  • Medical, dental, vision, retirement, leave, and disability benefits as applicable.
  • Family Leave
  • Short Term & Long Term Disability
  • Paid time off and company holidays.
  • Learning and development support.

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