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Remote Ai Infrastructure Engineer Jobs (NOW HIRING)

Infrastructure Engineer

$110K - $144K/yr

Our cloud-based, AI-driven platform modernizes land management planning, community risk assessment ... The role is fully remote and requires the ability to work effectively across a distributed team.

Senior AI Infrastructure Engineer

$111K - $151K/yr

RADIOLOGY PARTNERS OVERVIEW Radiology Partners, through its owned and affiliated practices, is a leading radiology practice in the U.S., serving hospitals and other healthcare facilities across the ...

Data Platform Infrastructure Engineer

$110K - $144K/yr

Data Platform Infrastructure Engineer Location: 100% remote CA, Remote 1 year contract Must have ... AI We seek a Data Platform Infrastructure Engineer skilled in AWS and Kubernetes to build and ...

Support Engineer, AI Infrastructure

San Francisco, CA ยท On-site +1

$126K - $166K/yr

As a Support Engineer, AI Infrastructure on this team, you'll be the technical execution layer that brings our support tools, customer and account context, internal systems, and AI workflows together.

Infrastructure Engineer

New York, NY ยท On-site +1

$117K - $154K/yr

About the role We're looking for am infrastructure engineer to join our small but growing platform ... remote-first team. We love to write long-form documents for us, our future selves, and our AI ...

Infrastructure Engineer

$110K - $144K/yr

Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of ... What you'll do As an Infrastructure Engineer, you will build and maintain the networking and ...

Network Engineer, AI Infrastructure Repair Responsibilities: * Define and drive the long-term strategy for AI network repair and remediation programs across large-scale data center environments ...

Infrastructure Engineer

$110K - $144K/yr

Counsel Health is on a mission to revolutionize healthcare with AI-driven solutions. They are seeking a Backend Infrastructure Engineer who will bridge the gap between application code and ...

Platform Infrastructure Engineer

Columbia, MD ยท On-site +1

$116K - $154K/yr

This role owns the engineering of our compute, virtualization, container, and automation platforms ... AI infrastructure (vLLM, Open WebUI, Jupyter) Benefits * 401(k) match of 6% with immediate vesting

Platform Infrastructure Engineer

Columbia, MD ยท On-site +1

$116K - $154K/yr

This role owns the engineering of our compute, virtualization, container, and automation platforms ... AI infrastructure (vLLM, Open WebUI, Jupyter) Benefits * 401(k) match of 6% with immediate vesting

Showing results 41-60

Remote Ai Infrastructure Engineer information

See salary details

$46.5K

$127.1K

$182K

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

As of Aug 9, 2026, the average yearly pay for remote 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 are the key skills and qualifications needed to thrive as a remote AI infrastructure engineer?

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 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 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.
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What cities are hiring for Remote Ai Infrastructure Engineer jobs? Cities with the most Remote Ai Infrastructure Engineer job openings:
What are the most commonly searched types of Ai Infrastructure Engineer jobs? The most popular types of Ai Infrastructure Engineer jobs are:
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Infographic showing various Remote Ai Infrastructure Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $127,066 per year, or $61.1 per hour.

Lead Infrastructure Engineer

Lakeview Loan Servicing

Manhattan, NY โ€ข Remote

$220K - $260K/yr

Full-time

Medical, Retirement

Re-posted 2 days ago


Job description

Overview

The Lead Infrastructure Engineerย on the Mission Control teamย plays a critical role in setting technicalย directionย and building,ย operating, and evolving the cloud infrastructure that supports reliable, secure, and scalable product delivery. This is a hands-on leadership role responsible for turning platform needs, application requirements, and operational constraints into automated infrastructure, developer workflows, and team execution plans.ย 

Working across cloud infrastructure, DevOps, production operations, and engineering leadership, thisย roleย partners closely with Engineering, Product, Security, Data, and domain Subject Matter Experts (SMEs) to ensure teams can ship quickly without compromising reliability, security, or compliance.ย 

This roleย leadsย the development and evolution of core systems, spanning cloud environments, CI/CD, infrastructure as code, containerized workloads, observability, secrets management, networking, data infrastructure, and deployment automation within a regulated, high-stakes environment. Successย requiresย strongย systemsย thinking, pragmatic engineering judgment, and the ability to guide a small, elite team through ambiguity.ย 

The Lead Infrastructure Engineer is expected toย operateย in an AI-native engineering environment, using modern coding agents, automation tools, and rapid prototyping workflows to improve delivery speed and infrastructure quality. In parallel, this individual will help create the foundation for AI-enabled product capabilities by ensuring the underlying systems are dependable, observable, secure, cost-aware, and easy to use.ย 

This is a fully remote position that offers a competitive salary range of $220,000 to $260,000 USD, plus an annual bonus. You'll also receive our excellent benefits package, which includes medical coverage starting on day one and a company-matched 401(k). Compensation may vary based on experience, location, and other job-related factors.


Responsibilities

Cloud Infrastructure & Platform Engineeringย 

  • Lead the design, build, and operation of cloud infrastructure across major platforms such as AWS, GCP, or Azure with a focus on reliability, scalability, security, and cost disciplineย 
  • Establish reusable infrastructure patterns and technical standards that help product teams provision, deploy, andย operateย services consistentlyย 
  • Own high-impact infrastructure initiatives from strategy and design through hands-on implementation, production rollout, monitoring, and iterationย 

Infrastructure as Code & Automationย 

  • Lead and contribute hands-on to infrastructure as code using tools such as Terraform,ย Pulumi, Bicep, CloudFormation, or similar frameworksย 
  • Automate repeatable operational workflows, environment provisioning, configuration management, deployment tasks, and team operating routinesย 
  • Raise infrastructure quality through clear modules, versioning, documentation, testing, code review, and pragmatic standardsย 

DevOps & Developer Experienceย 

  • Partner with Engineering teams and technical leaders to improve CI/CD pipelines, release workflows, build systems, and deployment safetyย 
  • Reduce friction for developers by guiding the creation of self-service tools, templates, runbooks, and paved-path workflowsย 
  • Set pragmatic guardrails that balance speed and control so teams can move quickly whileย maintainingย strong production and change-management practicesย 

Reliability, Observability & Production Operationsย 

  • Lead production operations confidently, including deployments, incident response, troubleshooting, escalation management, and post-incident follow-upย 
  • Define and improve observability across logs, metrics, traces, alerts, dashboards, service health indicators, and operational reviewsย 
  • Drive architecture and operational decisions that improve uptime, performance, resilience, maintainability, and team effectivenessย 
  • Anticipate and address reliability risks before they become customer-impacting issues, and coach others to build the same operational judgmentย 

Security, Compliance & Cost Disciplineย 

  • Establish secure infrastructure patterns, access controls, secrets management, andย least-privilegeย practices across services and environmentsย 
  • Support compliance-aware engineering practicesย appropriate forย a regulated fintech environment and help teams apply them pragmaticallyย 
  • Monitor infrastructureย utilizationย and cost,ย identifyingย opportunities to improve efficiency without reducing reliability or delivery velocityย 

Leadership, Mentorship & Craftย 

  • Mentor and manage a lean, elite team of infrastructure engineers through clear goals, technical coaching, feedback, andย high standardsย 
  • Translate ambiguous business, product, and operational needs into clear technical plans, milestones, sequencing, risks, and execution paths for the teamย 
  • Set a culture of ownership, curiosity, pragmatism, operational excellence, and engineering craft whileย remainingย deeply hands-onย 
  • Coordinate delivery across engineers and partner teams, helping remove blockers, manage dependencies, clarify ownership, and keep work moving with urgency and disciplineย 

Qualifications
  • 5-8+ years building,ย operating, and improving production infrastructure, internal platforms, or DevOps systemsย 
  • 2+ years as a tech lead, staff-level project lead, TLM, or hands-on leader guiding projects and mentoring engineersย 
  • Deep experience with AWS, GCP, or Azure, includingย compute, networking, storage, IAM, and managed servicesย 
  • Strong hands-on infrastructure as code experience, preferably Terraform or a comparable framework, with reusable module designย 
  • Experience with CI/CD, deployment automation, release workflows, and modern DevOps practices at platform scaleย 
  • Comfort working with containers and orchestration technologies such as Docker, Kubernetes, ECS, or similar platformsย 
  • Ability to write scripts or production-quality automation in Python, Go, Rust, Bash, TypeScript, or a similar languageย 
  • Experience leading production operations with observability, alerting, incident response, runbooks, and post-incident improvementย 
  • Working knowledge of cloud security fundamentals, including IAM, network segmentation, secrets management, encryption, and secure configuration practicesย 
  • Track recordย improving developer velocity, cloud cost efficiency, reliability, deployment safety, or operational maturityย 
  • Excellent communication, prioritization, and judgment in ambiguity, with the ability to align technical and non-technical stakeholdersย 

Preferred Experience:

  • Experienceoperatingas aTechnical Lead orTech Lead Manager responsible for both technicalimplementation, technicaldirection,and people developmentย 
  • Experience building infrastructure, internal platforms, or developer tools for fast-moving product engineering teamsย 
  • Experience in fintech, mortgage, lending, payments, insurance, or other regulated domainsย 
  • Experience supporting AI and data infrastructure, including secure access to model platforms, data pipelines, vector databases, or GPU-enabled workloadsย 

A note to candidatesย 

You doย notย need prior fintech or finance experience to succeed in this role. If you are a hands-on infrastructureย engineeringย leader with sound judgment, a security and reliability mindset, and excitement for mentoring a small team while learning a complex domain, we would love to hear from you. ย If your background does not line up perfectly with every bullet, but this role feels like the kind of work you want to do, please apply.ย 

Bayview is an Equal Employment Opportunity employer.ย ย All aspects of consideration for employment and employment with the Company are governedย on the basis ofย merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.ย 

#LI-Remote

Qualifications:
  • 5-8+ years building,ย operating, and improving production infrastructure, internal platforms, or DevOps systemsย 
  • 2+ years as a tech lead, staff-level project lead, TLM, or hands-on leader guiding projects and mentoring engineersย 
  • Deep experience with AWS, GCP, or Azure, includingย compute, networking, storage, IAM, and managed servicesย 
  • Strong hands-on infrastructure as code experience, preferably Terraform or a comparable framework, with reusable module designย 
  • Experience with CI/CD, deployment automation, release workflows, and modern DevOps practices at platform scaleย 
  • Comfort working with containers and orchestration technologies such as Docker, Kubernetes, ECS, or similar platformsย 
  • Ability to write scripts or production-quality automation in Python, Go, Rust, Bash, TypeScript, or a similar languageย 
  • Experience leading production operations with observability, alerting, incident response, runbooks, and post-incident improvementย 
  • Working knowledge of cloud security fundamentals, including IAM, network segmentation, secrets management, encryption, and secure configuration practicesย 
  • Track recordย improving developer velocity, cloud cost efficiency, reliability, deployment safety, or operational maturityย 
  • Excellent communication, prioritization, and judgment in ambiguity, with the ability to align technical and non-technical stakeholdersย 

Preferred Experience:

  • Experienceoperatingas aTechnical Lead orTech Lead Manager responsible for both technicalimplementation, technicaldirection,and people developmentย 
  • Experience building infrastructure, internal platforms, or developer tools for fast-moving product engineering teamsย 
  • Experience in fintech, mortgage, lending, payments, insurance, or other regulated domainsย 
  • Experience supporting AI and data infrastructure, including secure access to model platforms, data pipelines, vector databases, or GPU-enabled workloadsย 

A note to candidatesย 

You doย notย need prior fintech or finance experience to succeed in this role. If you are a hands-on infrastructureย engineeringย leader with sound judgment, a security and reliability mindset, and excitement for mentoring a small team while learning a complex domain, we would love to hear from you. ย If your background does not line up perfectly with every bullet, but this role feels like the kind of work you want to do, please apply.ย 

Bayview is an Equal Employment Opportunity employer.ย ย All aspects of consideration for employment and employment with the Company are governedย on the basis ofย merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.ย 

#LI-Remote

Education:UNAVAILABLEEmployment Type: FULL_TIME