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From Home Ai Infrastructure Engineer Jobs (NOW HIRING)

AI Infrastructure Engineer

$110K - $144K/yr

They are seeking an AI Infrastructure Engineer to own the infrastructure and operational ... from commit to production • Build operational foundations: monitoring, alerting, incident ...

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 ...

AI Infrastructure Engineer

New York, NY · On-site

$180K - $400K/yr

We care that industries that power the world (healthcare, manufacturing, energy) benefit from ... About the role We're hiring an AI Infrastructure Engineer to own the infrastructure, deployment ...

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 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

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 ...

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 ...

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 ... cases from raw data. * Model Management & Lifecycle (MLOps) * Automated Lifecycle Management:

About the role We are seeking a Senior AI Infrastructure Engineer to design, build, and scale the ... cases from raw data. * Model Management & Lifecycle (MLOps) * Automated Lifecycle Management:

AI Infrastructure Engineer

New York, NY · Remote

$150K - $200K/yr

As an AI Infrastructure Engineer, your role will include: * Lead Technical Deployments ... Drive end-to-end technical deployments for GPU neocloud and AI Factory customers, from initial bare ...

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Showing results 1-20

From Home Ai Infrastructure Engineer information

See salary details

$46.5K

$127.1K

$182K

How much do from home ai infrastructure engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for from home 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 is the difference between From Home Ai Infrastructure Engineer vs From Home Data Engineer?

AspectFrom Home Ai Infrastructure EngineerFrom Home Data Engineer
Required CredentialsBachelor's in Computer Science, AI, or related field; certifications in cloud platforms and AI toolsBachelor's in Computer Science, Data Science, or related; certifications in data management and cloud services
Work EnvironmentRemote, collaborating with AI development teams, cloud infrastructure managementRemote, working with data pipelines, databases, and analytics teams
Employer & Industry UsageTech companies, AI startups, cloud service providersData-driven companies, finance, healthcare, tech firms

From Home Ai Infrastructure Engineers focus on building and maintaining AI infrastructure, including cloud and hardware systems, while From Home Data Engineers primarily develop and manage data pipelines and storage solutions. Both roles require technical skills and often work remotely, but their core responsibilities differ in focus on AI systems versus data management.

What cities are hiring for From Home Ai Infrastructure Engineer jobs? Cities with the most From Home 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:
What states have the most From Home Ai Infrastructure Engineer jobs? States with the most job openings for From Home Ai Infrastructure Engineer jobs include:
AI Infrastructure Engineer

$110K - $144K/yr

Full-time

Posted 21 days ago


Percepta rating

6.6

Company rating: 6.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

26th of 72 rated call and contact centers


Job description

Job Summary:
Percepta is dedicated to transforming critical institutions with applied AI, partnering with industry leaders to drive AI transformation. 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 observability for autonomous systems.
Responsibilities:
• Define infrastructure patterns for multi-agent systems that need to be observable, controllable, and recoverable in ways traditional apps don't require
• Own and evolve our IaC stack: Terraform and Kubernetes across AWS, GCP, and Azure
• Build observability primitives for agentic workflows, tracing agent decisions and execution paths, not just service latency and pod health
• Design and maintain CI/CD pipelines that give teams fast, trustworthy feedback from commit to production
• Build operational foundations: monitoring, alerting, incident response, and the new patterns that emerge when AI systems are participants in that response
• Work across engineering teams to meet the reliability and compliance requirements of the institutions we serve (SOC 2, HIPAA, regulated environments in healthcare and energy)
Qualifications:
Required:
• 5+ years building and operating production infrastructure in DevOps or SRE roles
• The kind of engineer who sees a manual process and can't rest until it's automated well, not just scripted
• Strong hands-on Terraform experience
• Deep experience with at least 1 major cloud provider (AWS, GCP, or Azure): networking, IAM, cost management, the operational realities of production workloads
• Solid Docker and Kubernetes experience in production. We run managed clusters across all 3 major clouds; this is a core part of the role
• Experience designing and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, or similar)
• Scripting proficiency in Python, Bash, or similar
• High agency: you don't wait for a ticket to fix what's broken, but you communicate, collaborate, and bring the team along
• Genuine curiosity about AI systems, not just the infrastructure running them. You want to understand what you're operating
• You find it interesting (not alarming) that some systems you'll operate will be making decisions on their own
Preferred:
• Multi-region and multi-cloud experience across 2+ providers
• Experience with single-tenant or on-prem deployments alongside multi-tenant SaaS
• Familiarity with GitOps patterns and progressive delivery
• Familiarity with the Grafana stack (Prometheus, Grafana, Loki) or equivalent
• Experience with compliance frameworks (HIPAA, SOC 2) and how they shape infrastructure decisions in regulated environments
• Background supporting ML or research workflows moving to production: model deployment, pipeline orchestration, or similar
• You've thought about what observability means for non-deterministic systems and have opinions about it
Company:
Percepta (a GC Transformation Company) combines applied AI engineering with frontier research to transform enterprises. Founded in 2025, the company is headquartered in New York, NY, US, , with a team of 11-50 employees. The company is currently Early Stage.

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