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Ai Infrastructure Engineer Jobs in Washington (NOW HIRING)

OpenDataJobs

Cloud Infrastructure Engineer Role

Washington, DC · On-site

$121K - $159K/yr

The work Cloud Infrastructure Engineers build and operate the shared technical foundation on which ... About OPEN Data Jobs OPEN Data Jobs connects AI, data, and software professionals with critical ...

Eliassen Group

Infrastructure Engineer

Washington, DC · Remote

$60 - $70/hr

... seeks a Senior Infrastructure Engineer to manage and optimize on-premises and cloud network ... All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring ...

AGF Talent

Be Seen First

Infrastructure Engineer (Active TS/SCI Required)

Arlington, VA · On-site

$200K - $300K/yr

Infrastructure Engineer (Active TS/SCI Required) Location: Arlington, VA (On-Site) Type: Full-Time ... This company builds AI platforms for high-consequence government environments and has grown quickly ...

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AGF Talent

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Infrastructure Engineer (Active TS/SCI Required)

Arlington, VA · On-site

$200K - $300K/yr

Infrastructure Engineer (Active TS/SCI Required) Location: Arlington, VA (On-Site) Type: Full-Time ... This company builds AI platforms for high-consequence government environments and has grown quickly ...

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All JobsAi Infrastructure Engineer JobsAi Infrastructure Engineer Jobs in Washington

Ai Infrastructure Engineer information

See Washington salary details

$52.7K

$143.9K

$206.1K

How much do ai infrastructure engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for ai infrastructure engineer in Washington is $143,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,800.00 and $159,700.00 per year, depending on experience, location, and employer.

What does an AI infrastructure engineer do?

An AI Infrastructure Engineer designs, builds, and maintains the computing systems that support AI and machine learning workloads. They manage cloud services, optimize hardware and software performance, and ensure scalability for AI models. Their work involves configuring GPUs, CPUs, storage, and networking, as well as automating workflows with DevOps and MLOps tools. They collaborate with data scientists and engineers to streamline AI development and deployment. Their goal is to create reliable, efficient, and scalable AI infrastructure.

What are the key skills and qualifications needed to thrive as an AI infrastructure engineer?

To thrive as an AI Infrastructure Engineer, a strong background in computer science, cloud computing, and distributed systems is typically required, often supported by a degree in a related field. Familiarity with tools like Kubernetes, Docker, TensorFlow, and cloud platforms (AWS, Azure, or GCP), along with certifications in cloud technologies or DevOps, is highly valuable. Strong problem-solving abilities, collaboration, and effective communication skills are essential to excel within multidisciplinary engineering teams. These competencies ensure the reliable deployment, scaling, and optimization of AI workloads in dynamic production environments.

What does a typical day look like for an AI infrastructure engineer?

A typical day for an AI Infrastructure Engineer often involves designing and maintaining the underlying systems that support machine learning and AI workloads, such as setting up scalable cloud environments, automating workflows with CI/CD pipelines, and troubleshooting performance bottlenecks. You might collaborate closely with data scientists and software engineers to ensure seamless integration between AI models and production infrastructure. Daily activities can include writing and reviewing infrastructure-as-code, monitoring system health, and responding to incidents or scaling requests as needed. This role offers a dynamic mix of hands-on technical work, problem-solving, and teamwork, providing opportunities to refine your skills and contribute meaningfully to cutting-edge AI projects.

How much do AI infrastructure engineers make?

AI infrastructure engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and hardware may earn higher salaries, often exceeding $180,000. Compensation can also include bonuses and stock options in tech companies.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Washington?

The most popular types of Ai Infrastructure Engineer jobs in Washington are:

What are popular job titles related to Ai Infrastructure Engineer jobs in Washington?

For Ai Infrastructure Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Ai Infrastructure Engineer jobs in Washington look for?

The top searched job categories for Ai Infrastructure Engineer jobs in Washington are:

Ai Infrastructure Engineer jobs near you
Infographic showing various Ai Infrastructure Engineer job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 69% In-person, and 31% Remote job distribution, with an average salary of $143,915 per year, or $69.2 per hour.

Cloud Infrastructure Engineer Role

OpenDataJobs

Washington, DC • On-site

$121K - $159K/yr

Full-time

Posted 16 days ago

Job description

The work

Cloud Infrastructure Engineers build and operate the shared technical foundation on which applications run. Their scope includes networking, compute, storage, identity, secrets, connectivity, and recovery capabilities, designed as a coherent environment rather than a collection of service configurations.

They use automation to create repeatable environments, establish guardrails, and make operating conditions visible through monitoring. Where DevSecOps Engineers own the secure delivery path, Cloud Infrastructure Engineers own the platform capabilities, service configuration, capacity, resilience, and operational patterns that delivery teams consume.

What you'll build

        Versioned cloud environments for networks, compute, storage, identity, and connectivity.

        Landing-zone patterns, account structures, and guardrails for teams using shared cloud services.

        Resilience capabilities including backup, recovery, failover, and capacity management.

        Monitoring, alerting, and cloud security posture management for infrastructure health and configuration.

        Reusable platform services that give application teams a consistent path to deploy and operate.

Who you are

You think in systems and operating conditions. A network rule, identity policy, storage setting, or recovery process is not a one-time configuration to you; it is a component whose behavior must remain understandable as the environment changes.

You prefer documented automation to hand-built environments. You can work with application, security, and operations colleagues, yet keep clear ownership of the foundation that those teams rely on.

What you bring

        Experience designing or operating Amazon Web Services or comparable cloud networking, compute, storage, and identity services.

        Infrastructure-as-code and configuration-management practice with Terraform, AWS CloudFormation, or comparable tools.

        Knowledge of identity and access management, secrets handling, and network segmentation.

        Experience with observability, capacity planning, backup, recovery, and incident response.

        Ability to evaluate cloud configurations against mission, resilience, cost, and security requirements.

About OPEN Data Jobs

OPEN Data Jobs connects AI, data, and software professionals with critical roles, primarily in the federal sector. Registering with ODJ can put your profile in view for multiple positions across several clients.

Register for Cloud Infrastructure Engineer Role

Click Apply below to register for Cloud Infrastructure Engineer Role.

Requirements

Openings may specify a cloud provider, hybrid environment, container platform, or network architecture. They may also seek experience with cloud security posture management, a continuous practice of identifying, prioritizing, and addressing cloud configuration and vulnerability issues.

Some environments may require evidence of resilience engineering, recovery testing, shared-service design, or authorization support. The role should not absorb ownership of each application release pipeline, even when infrastructure engineers collaborate closely with DevSecOps teams.

Benefits

Compensation, benefits, work location, and employment terms are set for each specific opening and will be stated with that opening.

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