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Ai Network Engineer Jobs (NOW HIRING)

Meta

Network Engineer, Optical Deployment

Seattle, WA · On-site

$135K/yr

Network Engineer, Optical Deployment Responsibilities: * Lead the technical deployment ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Meta

Network Engineer, Optical Deployment

Garland, TX · On-site

$135K/yr

Network Engineer, Optical Deployment Responsibilities: * Lead the technical deployment ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Meta

Network Engineer, Optical Deployment

Reston, VA · On-site

$135K/yr

Network Engineer, Optical Deployment Responsibilities: * Lead the technical deployment ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Meta

Network Engineer, Optical Deployment

Houston, TX · On-site

$135K/yr

Network Engineer, Optical Deployment Responsibilities: * Lead the technical deployment ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Meta

Network Engineer, Optical Deployment

Temple, TX · On-site

$135K/yr

Network Engineer, Optical Deployment Responsibilities: * Lead the technical deployment ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Meta

Network Engineer, Deployment & Support

$162K/yr

Meta is looking for a Network Deployment & Support Engineering lead to join the team responsible for planning and executing network deployments and migrations to build the world's largest AI backbone ...

Meta

Network Engineer, Deployment & Support

Reston, VA

$162K/yr

Meta is looking for a Network Deployment & Support Engineering lead to join the team responsible for planning and executing network deployments and migrations to build the world's largest AI backbone ...

Finch AI

Network Engineer

Washington, DC · On-site

$110K - $180K/yr

Network Engineer Clearance: US Citizenship required. Location: Washington, DC Metro Area (VA/DC/MD ... About Finch AI Finch AI is a fast-growing, fast-paced software development organization; our ...

NextEra Energy

Senior IT Network Engineer

Saint Paul, MN · On-site

$105K - $144K/yr

Hybrid Network Design: Design, implement, and support scalable network solutions across on-premise ... AI-Augmented Engineering: Use AI assistant tools to accelerate troubleshooting, documentation ...

NextEra Energy

Senior IT Network Engineer

Saint Paul, MN · Hybrid

$105K - $144K/yr

AI-Augmented Engineering: Use AI assistant tools to accelerate troubleshooting, documentation ... Identify opportunities to simplify network operations, reduce manual effort, and improve the ...

Together AI

Senior Network Engineer

San Francisco, CA · On-site

$190K - $280K/yr

About the Role Together AI is looking for a Senior Network Engineer to design, deploy, and operate the global network infrastructure supporting our production services and high-performance AI compute ...

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How much do ai network engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for ai network engineer in the United States is $109,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $133,500.00 per year, depending on experience, location, and employer.

What is an AI network engineer?

AI Network Engineers are professionals who design, implement, and maintain network infrastructures optimized for artificial intelligence (AI) applications. They ensure that networks can handle the high data throughput and low latency requirements of AI workloads, such as machine learning model training and inference. Their responsibilities may include integrating AI-driven network management tools, optimizing data flow for distributed AI systems, and ensuring data security and reliability. AI Network Engineers often collaborate with data scientists, AI researchers, and IT teams to deploy scalable and efficient AI solutions. As AI adoption grows, their role becomes increasingly important in supporting advanced technologies across industries.

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

To thrive as an AI Network Engineer, you need expertise in computer networking, AI/ML concepts, and a strong background in computer science or a related field, often supported by a relevant degree or certifications like CCNP or AWS Certified Solutions Architect. Familiarity with network simulation tools, AI frameworks (such as TensorFlow or PyTorch), and network automation platforms is typically required. Problem-solving, analytical thinking, and effective communication are essential soft skills in this role. These skills are crucial for designing, deploying, and optimizing intelligent network systems that support scalable and efficient AI-driven solutions.

What are some common challenges AI network engineers face when deploying AI models at scale within enterprise networks?

AI Network Engineers often encounter challenges related to ensuring low-latency data transfer, handling large volumes of real-time data, and maintaining high security standards during AI model deployment. Integrating AI workloads with existing network infrastructure can require careful optimization of bandwidth and compute resources to prevent bottlenecks. Additionally, collaborating with data scientists and IT teams is essential for troubleshooting and refining deployment processes while keeping the network stable and scalable.
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Ai Network Engineer jobs near you
Infographic showing various Ai Network Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, and 6% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $109,040 per year, or $52.4 per hour.

Network Engineer, Optical Deployment

Seattle, WA • On-site

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$135K/yr

Full-time

Re-posted 3 days ago

Key responsibilities

  • Lead the technical deployment, architecture, and execution for network deployment projects within Edge Network Services.

  • Provide hands-on technical contributions such as design, deployment, migration, troubleshooting, and code reviews on large-scale programs.

  • Deploy, migrate, and support Meta's global production network including edge, backbone, and data center infrastructure.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Meta is looking for an Optical Network Deployment & Support Engineer to join the team responsible for planning and executing network deployments to build one of the world's largest optical backbone networks. In this role, you will have a unique opportunity to work on cutting-edge Optical and IP networking technologies owning the deployment planning, implementation, and scaling of Meta's AI network infrastructure.
Network Engineer, Optical Deployment Responsibilities:
  • Lead the technical deployment, architecture, and execution for your team’s projects within Edge Network Services (ENS) on network deployment, ensuring alignment with organizational direction and goals
  • Provide hands-on technical contributions (design, deployment, migrate, code reviews, troubleshooting, etc.) on large scale complex programs demonstrating domain expertise and technical impact
  • Contribute to strategic objectives by executing six-month to multi-year roadmaps that support business growth and transformation. Balance high-level strategic direction with hands-on leadership to deliver results across a broad portfolio of initiatives
  • Apply established engineering standards for reliability, scalability, and performance to deliverables, driving continuous improvement in engineering processes and technical quality
  • Collaborate cross-functionally across Network Engineering, Data Center, Network Investments, and Planning teams to ensure successful execution of shared goals on network delivery
  • Deploy, migrate and support our global production network including edge, backbone, and data center infrastructure
  • Mentor and onboard new team members, raising the team’s overall technical acumen and building internal community
  • 10% to 30% of travel

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ years of Network Engineering, including hands-on responsibility for planning, building, deployment or migrating production network environments
  • 3+ years experience working in Optical Network Engineering
  • Hands-on experience with enterprise and carrier class routing, switching, and optical transport platforms
  • Knowledge of data center design and operational best practices
  • Proven experience leading and executing network deployment and migration projects
  • Experience interacting with vendors and external parties to drive projects to completion

Preferred Qualifications:
  • Experience with process improvement and systems development, leveraging automation to streamline repetitive workflows
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience in data center, edge, or large-scale network environments
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Proficiency in automation (Python, Go, etc.) and network configuration management tooling
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$135,000/year to $191,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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