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Remote Ai Infrastructure Engineer Jobs in Reston, VA

Serco

Experienced Infrastructure Engineer

Washington, DC · Remote

$121.70K - $159.60K/yr

Position Description & Qualifications We are looking for an experienced Experienced Infrastructure Engineer - (100% Remote) to design, build, and maintain the foundational infrastructure that ...

Platinum Technologies

AI Engineer

Washington, DC · On-site +1

$63.25 - $84.50/hr

This role is remote/hybrid in the VA/MD/DC area. There may be occasional travel to client site in ... infrastructure, and deployment architectures based on mission requirements, security posture ...

Platinum Technologies

AI Engineer

Washington, DC · On-site +1

This role is remote/hybrid in the VA/MD/DC area. There may be occasional travel to client site in ... Evaluate and recommend hosting, infrastructure, and deployment architectures based on mission ...

CORAS

Cloud Infrastructure Engineer

Mclean, VA · Remote

$56.25 - $75.25/hr

We're looking for a Cloud Infrastructure Engineer to help operate and evolve the infrastructure ... AWS certifications or relevant technical certifications Work Environment This is a fully remote ...

Coras

Cloud Infrastructure Engineer

Mclean, VA · On-site +1

$128K - $145K/yr

We're looking for a Cloud Infrastructure Engineer to help operate and evolve the infrastructure ... AWS certifications or relevant technical certifications Work Environment This is a fully remote ...

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Remote Ai Infrastructure Engineer information

See Reston, VA salary details

$48.4K

$132.2K

$189.3K

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

As of Jun 1, 2026, the average yearly pay for remote ai infrastructure engineer in Reston, VA is $132,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $146,700.00 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.
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Remote Ai Infrastructure Engineer jobs near you
Infographic showing various Remote Ai Infrastructure Engineer job openings in Reston, VA as of May 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 62% Physical, 5% Hybrid, and 33% Remote job distribution, with an average salary of $132,194 per year, or $63.6 per hour.

Senior Cloud Infrastructure Engineer

Global Solutions Consulting (GSC)

Washington, DC • Remote

$111.10K - $151K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

Senior Cloud Infrastructure Engineer

Location: Hybrid (Remote / Washington, DC)

Salary: Commensurate with Experience

Position Type: Full-Time

Clearance Requirement: Public Trust (High) ability to obtain Secret

Industry: Technical Consulting / Federal Contracting

Role Overview

We are seeking a highly skilled and motivated Senior Cloud Infrastructure Engineer to design, implement, and manage secure, scalable, and resilient cloud-based solutions. As a senior member of our technical team, you will lead the architecture and deployment of complex AWS environments while ensuring alignment with federal security standards.

The ideal candidate is a subject matter expert in AWS, possessing a deep understanding of infrastructure-as-code (IaC), automated CI/CD pipelines, and cloud security best practices. While our primary environment is AWS, experience navigating multi-cloud ecosystems (Azure and GCP) is highly valued.

Key Responsibilities

  • Cloud Architecture & Engineering: Lead the design and deployment of robust AWS infrastructure, focusing on high availability, fault tolerance, and cost optimization.
  • Automation & DevOps: Develop and maintain automation scripts and templates using Terraform, CloudFormation, or Ansible to ensure consistent environment provisioning.
  • Security & Compliance: Implement and manage security controls in alignment with NIST SP 800-53 and CMMC requirements. Experience with AWS Security Hub, GuardDuty, and KMS is essential.
  • Operations & Monitoring: Oversee system performance using CloudWatch, Sentinel, or similar enterprise monitoring tools to proactively identify and resolve bottlenecks.
  • Cross-Platform Integration: Support hybrid-cloud initiatives and cross-platform workflows, particularly where AWS services interface with Microsoft 365, Azure, or GCP.
  • Technical Leadership: Provide mentorship to junior engineers and serve as a technical liaison between stakeholders and development teams.

Required Qualifications

  • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent 10+ years of professional experience).
  • Experience: 7+ years of hands-on experience in cloud engineering, with a primary focus on AWS.
  • Certifications (Mandatory): * AWS Certified Solutions Architect – Professional or Associate
    • AWS Certified DevOps Engineer – Professional
    • AWS Certified Security – Specialty
  • Technical Proficiency: * Advanced knowledge of AWS services: EC2, S3, Lambda, RDS, VPC, IAM, and Secrets Manager.
    • Expertise in Infrastructure as Code (IaC) tools, specifically Terraform.
    • Proven experience building and maintaining CI/CD pipelines.

Preferred Qualifications

  • Multi-Cloud Experience: Working knowledge or certifications in Microsoft Azure (e.g., AZ-500) or Google Cloud Platform (GCP).
  • Security Frameworks: Familiarity with Federal Risk and Authorization Management Program (FedRAMP) or RMF processes.
  • Containerization: Experience with Docker, Kubernetes (EKS), or ECS.

Knowledge of:

    • NIST 800-53 / 800-171
    • FedRAMP / CMMC

Familiarity with:

  • AWS CloudTrail, CloudWatch, Config, Security Hub
  • Azure Defender / Security Center
  • GCP Security Command Center

Security Clearance Requirements

  • Must be able to obtain and maintain a Public Trust (High Risk) clearance.
  • U.S. Citizenship is required for this position due to federal contract requirements.

Work Environment

This is a hybrid role. Candidates are expected to work from our local office 3 days per week, with the remainder of the week available for remote work. This balance allows for high-level collaboration on architecture sessions while providing flexibility for deep-focus engineering tasks.

Why Join Us?

Join a team of elite technical consultants where your expertise directly impacts mission-critical federal projects. We provide an environment that fosters continuous learning, professional growth, and the opportunity to work with a modern enterprise security technology stack.

Company Description

GSC is a leading cyber security and information technology company based in Washington, DC. We are looking to hire a Senior Security Application Engineer to support a full range of cyber security services on a long-term contract in Washington DC. The position is full-time/permanent and will support a US Government civilian agency. The position is available immediately upon finding a qualified candidate with the appropriate background and security clearance.