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Remote Ai Infrastructure Engineer Jobs in Chicago, IL

ICONMA

Cloud Infrastructure Engineer

Lisle, IL · Remote

$106K - $139K/yr

... IL/Remote location. Responsibilities: * Design, build, and maintain cloud infrastructure and ... Experience implementing AI thoughtfully across platform engineering and application teams. Why ...

Yantran LLC

Cloud Infrastructure Engineer

Lisle, IL · Remote

$106K - $139K/yr

Lisle, IL Onsite/ Remote: Day 1 Onsite at customer location Key Responsibilities • Design, build ... AI thoughtfully across platform engineering and application teams. "*** is an Equal Employment ...

Fortune Brands

Lead Infrastructure Engineer

Deerfield, IL · On-site +1

$109.30K - $143.40K/yr

As a lead engineer, they will lead teams, strategize technology solutions, and ensure systems ... Evaluate emerging technologies-including AI/ML infrastructure support, containerization, and edge ...

Cisco

Solutions Engineer - Central U.S.

Chicago, IL · On-site +1

$205.70K - $266.30K/yr

Meet the Team The Cloud + AI Infrastructure team delivers one scalable strategy with local ... Your Impact We are seeking a Solutions Engineer to join our dynamic sales team. As Cloud and AI ...

Invoca

Staff AI Platform Engineer

Chicago, IL · Remote

About the Engineering Team You'll join a team where everyone, including you, is striving to ... infrastructure * shared AI tooling with strong operational rigor 📍 Location This is a remote ...

Dell, Inc.

Advisory AI Architect (FDE Unit)

Chicago, IL · On-site +1

$249.05K - $322.30K/yr

... Dell infrastructure, balancing speed, reliability, security, and responsible AI practices. You ... Engineering (FDE) Team in Remote - Chicago, Illinois (Mid-West). What You'll Achieve * Design ...

Cercle Partnership

ML/AI Engineer

Chicago, IL · Remote

Remote (U.S. preferred, with hubs in SF, NYC, Chicago, and Austin) Position: ML/AI Engineer ... server infrastructure for real-time deployment of massive embeddings/graph/vector database ...

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Remote Ai Infrastructure Engineer information

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$47.9K

$130.9K

$187.5K

How much do remote ai infrastructure engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for remote ai infrastructure engineer in Chicago, IL is $130,897.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $145,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote AI Infrastructure Engineer, and why are they important?

To thrive as a Remote AI Infrastructure Engineer, you need expertise in cloud computing, distributed systems, and software engineering, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, along with knowledge of CI/CD pipelines and AI/ML frameworks. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in this role. These skills ensure robust, scalable AI infrastructure that supports rapid innovation and seamless collaboration across distributed teams.

What are some common challenges faced by Remote AI Infrastructure Engineers, and how can they be addressed?

Remote AI Infrastructure Engineers often encounter challenges such as managing distributed systems, ensuring robust data pipelines, and maintaining high system reliability across different time zones. Collaboration with cross-functional teams can require clear communication and effective use of remote tools. To address these challenges, it's important to establish strong documentation practices, schedule regular check-ins, and utilize automated monitoring and deployment solutions. Staying proactive and adaptable helps ensure seamless infrastructure performance and team alignment.

What is a Remote AI Infrastructure Engineer?

A Remote AI Infrastructure Engineer is a professional who designs, builds, and maintains the systems and tools necessary to support artificial intelligence (AI) projects, all while working remotely. Their responsibilities often include developing and optimizing cloud or on-premise infrastructure, ensuring scalability, managing data pipelines, and supporting machine learning workflows. They work closely with data scientists and software engineers to ensure AI models can be efficiently trained, deployed, and monitored in production environments. The remote aspect allows them to perform these tasks from anywhere, using collaboration tools and cloud platforms.
What are the most commonly searched types of Ai Infrastructure Engineer jobs in Chicago, IL? The most popular types of Ai Infrastructure Engineer jobs in Chicago, IL are:
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What cities near Chicago, IL are hiring for Remote Ai Infrastructure Engineer jobs? Cities near Chicago, IL with the most Remote Ai Infrastructure Engineer job openings:
Remote Ai Infrastructure Engineer jobs near you
Infographic showing various Remote Ai Infrastructure Engineer job openings in Chicago, IL as of May 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 67% Physical, 5% Hybrid, and 28% Remote job distribution, with an average salary of $130,897 per year, or $62.9 per hour.
Cloud Infrastructure Engineer

Cloud Infrastructure Engineer

ICONMA

Lisle, IL • Remote

$106K - $139K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Our Client, an IT Services and Consulting company, is looking for a Cloud Infrastructure Engineer for their Lisle, IL/Remote location.
Responsibilities:

  • Design, build, and maintain cloud infrastructure and platform services on Azure supporting web and API-based applications.
  • Implement and manage Infrastructure as Code (IaC) using Terraform to deliver repeatable and compliant environments.
  • Support and optimize Azure Kubernetes Service clusters, including deployment, scaling, upgrades, and operational troubleshooting across multiple application environments (dev/test/prod).
  • Partner with application teams to ensure secure, performant, and scalable deployments, providing guidance on best practices.
  • Implement and enforce security, governance, and compliance controls across cloud environments.
  • Support CI/CD pipelines, enabling automated builds, deployments, and environment provisioning in Azure DevOps.
  • Manage and operate Argo CD.
  • Monitor system health, performance, and cost, proactively identifying risks and optimization opportunities using Prometheus and Grafana.
  • Lead and contribute to modernization efforts, including migrating legacy workloads to cloud-native architectures.
  • Troubleshot complex infrastructure and deployment issues across lower and higher environments.
  • Participate in Agile ceremonies and collaborate effectively in a fast-paced, cross-functional team.
  • Maintain documentation and promote operational best practices that support long-term platform reliability.
  • Maintain and track certificates to ensure consistent website uptime and user experience.
  • Along with other members of the team, provide support when production issues occur.

Requirements:
  • Strong experience as a Cloud / Infrastructure Engineer, primarily in Microsoft Azure.
  • Hands-on experience with Kubernetes (AKS) and containerized workloads.
  • Strong understanding of networking, identity, access management, and cloud security principles.
  • Experience implementing and maintaining CI/CD pipelines using Azure DevOps or similar tools.
  • Proficiency with Git and branching strategies (e.g., GitFlow).
  • Experience supporting Web APIs and application platforms from an infrastructure and operational perspective.
  • Knowledge of performance, scalability, high availability, and disaster recovery design.
  • Experience with automation, scripting, and operational tooling.
  • Familiarity with Agile delivery models and DevSecOps/SRE practices.
  • Ability to work independently, prioritize effectively, and collaborate across teams.
  • Familiarity with React/.NET application stacks from a platform support perspective.
  • Experience modernizing legacy applications to cloud-native architectures.
  • Experience with policy management (Azure Policy) and governance frameworks.
  • Exposure to monitoring and observability tools including Loki and Open Telemetry.
  • Strong communication skills to translate infrastructure concepts to non-infrastructure teams.
  • Experience implementing AI thoughtfully across platform engineering and application teams.

Why Should You Apply?
  • Health Benefits
  • Referral Program
  • Excellent growth and advancement opportunities

ICONMA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any status protected by applicable law.
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About ICONMA

Sourced by ZipRecruiter

ICONMA is an established and stable organization building lasting relationships with clients and consultants. We are unique in our ability to provide a full spectrum of Staffing Services and Solutions including: Staff Augmentation (Contract, Contract-to-Hire, Direct Hire), Bulk Buy Staff Augmentation, Offshore Staff Augmentation, Payroll Services and Consulting (Project Delivery, SOW). At ICONMA, our goal is to become a one-stop destination for our customers' staffing and outsourcing needs. Our vision is to be a preeminent provider of innovative business solutions, leveraging key technologies to improve our customers' competitiveness, growth, and profitability. ICONMA focuses on a culture that fosters collaboration and team work. We recognize that employees are the foundation of any company, and we encourage our employees to be leaders while providing continuous training and growth opportunities. ICONMA encourages hard work, determination and dedication in a professional environment. ICONMA promotes a healthy work-life balance, and understands this is a key component to our employee's and company's success.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Troy, MI, US

Year founded

2000

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