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From Home Ai Infrastructure Engineer Jobs (NOW HIRING)

BNY

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 ...

BNY

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 ...

Meshy LLC

AI Infrastructure Engineer

Sunnyvale, CA

$126K - $165K/yr

D. in graphics and AI from MIT, where he developed the acclaimed Taichi GPU programming language ... The team operates a conventional production infrastructure (CI/CD, build systems, deployment ...

Gatik AI

Senior AI Infrastructure Engineer

Mountain View, CA · On-site

$128K - $174K/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:

vCluster Labs

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 ...

Spellbrush

AI Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

... is looking for an AI Infrastructure Engineer to join us in building out end-to-end ML ... from traditional CPU workloads in very interesting ways. Experience deploying, or even optimizing ...

Spellbrush

AI Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

... is looking for an AI Infrastructure Engineer to join us in building out end-to-end ML ... from traditional CPU workloads in very interesting ways. Experience deploying, or even optimizing ...

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

As of Jun 13, 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:
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From Home Ai Infrastructure Engineer jobs near you
AI Infrastructure Engineer

AI Infrastructure Engineer

General Dynamics Mission Systems, Inc

Remote

$157K - $174K/yr

Full-time

Posted yesterday

General Dynamics Mission Systems rating

8.2

Company rating: 8.2 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

77th of 189 rated software companies

Job description

Basic Qualifications
Requires a Bachelor's degree in Software Engineering, or a related Science, Engineering, Technology or Mathematics field. Also requires 8+ years of job-related experience, or a Master's degree plus 6 years of job-related experience. Agile experience preferred.
CLEARANCE REQUIREMENTS:: Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
Responsibilities for this Position
ROLE AND POSITION OBJECTIVES:
Intelligent Data Management:
  • Use AI tools to analyze, map, and automate the data migration from the existing workflows and systems
  • Design modern, flexible data architectures, not locked to legacy patterns
  • Leverage AI to detect data quality issues, validate migration results, and optimize database performance
  • Partner with the development team to auto-tune queries and optimize storage architecture

Automated Deployment & Self-Healing Infrastructure:
  • Build fully automated CI/CD pipelines with AI-powered testing, canary analysis, and automatic rollback
  • Deploy and manage applications using Kubernetes and container orchestration with infrastructure-as-code
  • Build self-healing systems that detect, diagnose, and resolve common issues automatically, only escalating truly novel problems to humans
  • Automate environment provisioning, scaling, and configuration so nothing is done manually

AI-Powered Automation & Integration:
  • Use AI to automate operational tasks, eliminate manual, repetitive work that doesn't scale
  • Build intelligent integration management between the new application and existing enterprise systems
  • Leverage AI-assisted tools to generate, optimize, and maintain deployment tooling
  • Auto-generate documentation from code, configurations, and system behavior

Proactive Reliability Engineering:
  • Implement AI-powered observability that detects patterns, predicts failures, and suggests or executes fixes automatically
  • Build systems where the lights rarely flicker, engineer reliability into the architecture, not bolt it on after
  • Use AI to analyze incident patterns and build preventative measures that eliminate entire classes of failures
  • Establish and track Service Level Objectives (SLOs) using automated data collection and reporting

Basic Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, plus a minimum of 5 years of relevant experience; or Master's degree plus a minimum of 3 years of relevant experience
  • Demonstrated expertise with relational databases (Oracle, PostgreSQL, MySQL, or similar)
  • Hands-on experience deploying and managing applications with Kubernetes
  • Experience building and maintaining CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, or similar)
  • AWS RDS or other cloud-managed relational database services
  • Cloud-managed Kubernetes (AWS EKS, Azure AKS, GCP EKS)

Preferred Qualifications:
  • Experience with data migration from legacy workflows and systems
  • Proficiency with infrastructure-as-code tools (Terraform, Ansible, or similar)
  • Experience with container technologies (Docker, Helm charts)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Experience with monitoring and observability tools (Prometheus, Grafana, ELK stack, or similar)
  • Python scripting experience for automation and tooling
  • Understanding of Site Reliability Engineering (SRE) principles
  • Experience working in DoD or regulated environments
  • Identifies opportunities to apply AI for continuous improvement and innovation

Mindset (This Matters as Much as Skills): This isn't a role for someone who wants to maintain the status quo. We need someone who is:
  • Focused on clearing roadblocks, not creating them
  • Driven by the desire to transform solutions
  • Obsessed with automation if you're doing something manually more than twice, you should be writing code to automate it
  • Reliable under pressure
  • Comfortable working in a fast-moving environment where the playbook is being written as you go

Why This Role Matters: This is not a typical infrastructure job. You are building the deployment backbone for a strategic initiative that will define how GDMS builds and operates software going forward. The CI/CD pipelines, the data migration patterns, the production infrastructure you create here will become the blueprint for the future in-house development project.
Why This Role is Worth It:
  • You'll build from scratch. No legacy infrastructure to inherit. You design it, you build it, you own it.
  • You'll work with cutting-edge tools. AI-assisted development, modern deployment practices, Kubernetes orchestration this is a modern tech stack, not a legacy maintenance job.
  • You'll have impact. Your work directly determines whether a mission-critical system succeeds in production.
  • You'll have support. Leadership is fully committed to this initiative and will clear roadblocks so you can focus on engineering.

Salary Note
This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
Combined Salary Range
USD $157,487.00 - USD $174,713.00 /Yr.
Company Overview
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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