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Network Ai Jobs (NOW HIRING)

Bigbear.ai

Senior AI Engineer

Annapolis Junction, MD · On-site

$114K/yr

Collaboratively work with systems engineers to architect and deploy networked AI tools within secure enclaves and conduct performance profiling, optimization, and scalability analysis of mission ...

Meta

AI/HPC Network Performance Engineer

Menlo Park, CA · On-site

$184K - $257K/yr

Responsibilities Design, develop, test and operate networking systems to support large scale AI training jobs • Research, develop and deploy numerous technologies and network topologies in order to ...

Ambarella

Ambarella's low-power systems-on-chip (SoCs) integrate proprietary and highly efficient perception and deep learning neural network AI accelerators, enabling electronic systems to become more ...

Tekfortune Inc.

Senior InfiniBand AI Network

Santa Clara, CA · On-site

$121K - $166K/yr

Role :- Senior InfiniBand AI Network Location :- Santa Clara, CA(Onsite) Note: Client is not willing to sponsor any visa. Senior InfiniBand AI Network Position Description ENGAGEMENT SUMMARY The ...

UserTesting

IT System Administrator - AI

With the world's strongest participant network, AI-powered analysis, expert services, and seamless integrations, we help companies eliminate guesswork, align stakeholders, and bring customer needs ...

UserTesting

IT System Administrator - AI

With the world's strongest participant network, AI-powered analysis, expert services, and seamless integrations, we help companies eliminate guesswork, align stakeholders, and bring customer needs ...

Together AI

Senior Network Engineer

San Francisco, CA · On-site

$122K - $167K/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 ...

Together AI

Senior Network Engineer

San Francisco, CA · On-site

$122K - $167K/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 ...

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 ... Finch AI is an equal opportunity employer.

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How much do network ai jobs pay per year?

As of Sep 3, 2026, the average yearly pay for network ai in the United States is $106,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $128,000.00 per year, depending on experience, location, and employer.

What is a Network AI?

A Network AI job involves developing and optimizing artificial intelligence models to manage, monitor, and enhance computer networks. Professionals in this role work on tasks like network automation, predictive analytics, and anomaly detection using machine learning. They collaborate with network engineers and data scientists to improve performance, security, and efficiency. This field requires expertise in AI, networking protocols, and data analysis tools.

What does a Network AI do?

Network AI professionals are commonly tasked with developing and deploying AI-driven solutions to monitor, secure, and optimize computer networks. This includes leveraging machine learning to detect anomalies or threats, automating network management tasks, and analyzing large datasets to improve network performance. They often work closely with network engineers, security teams, and data scientists to ensure that AI solutions are both effective and secure. The role offers continuous learning opportunities, as professionals must stay updated on the latest advancements in both networking and artificial intelligence.

What are the key skills and qualifications needed to thrive in the Network AI position?

To thrive as a Network AI professional, you typically need a solid background in computer networking, machine learning, and data analysis, often supported by a degree in computer science, information technology, or a related field. Familiarity with networking protocols (such as TCP/IP), AI frameworks (like TensorFlow or PyTorch), and relevant certifications (such as Cisco’s CCNA or CCNP) are highly valuable. Strong analytical thinking, collaboration, and effective problem-solving skills make candidates stand out in this role. These abilities are crucial for implementing intelligent network solutions, optimizing performance, and ensuring seamless integration of AI technologies in complex network environments.

What is the easiest Network Ai job to get into?

Entry-level Network AI roles typically include positions such as network technician or support specialist, which require basic understanding of networking concepts and some familiarity with AI tools. These jobs often require foundational certifications like CompTIA Network+ and minimal prior experience, making them accessible for newcomers to the field.

Which network AI job is high paying?

High-paying network AI jobs typically include roles such as AI Research Scientist, Machine Learning Engineer, and Data Scientist, especially those with expertise in deep learning, neural networks, and large-scale data processing. These positions often require advanced skills, certifications, and experience, and they tend to offer higher salaries due to the specialized knowledge involved.
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Network Ai jobs near you
Infographic showing various Network Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, and 6% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $106,570 per year, or $51.2 per hour.

AI Engineer - Routing & Network Optimization

Gallatin AI, Inc.

El Segundo, CA • On-site

Full-time

Re-posted 23 days ago

Job description

Job Summary:
Gallatin is a company focused on modernizing defense logistics for the United States and allied forces using an AI-first approach. The AI Engineer – Routing & Network Optimization will design and implement routing models, optimize algorithms, and integrate routing systems into planning pipelines to enhance supply chain efficiency in a dynamic environment.
Responsibilities:
• Design and implement routing models across transportation, warehousing, and resupply networks.
• Encode constraints related to: Distance and time, Asset and lane capacity, Availability, readiness, and risk
• Support multi-hop, time-phased, and event-aware routing across dynamic networks.
• Implement and tune routing solvers using exact, heuristic, and hybrid algorithms.
• Scale routing algorithms to large graphs, real-time updates, and uncertain inputs.
• Evaluate tradeoffs between solution quality, runtime, and operational robustness.
• Own routing datasets including nodes, edges, costs, capacities, and constraints.
• Validate and maintain network representations used by all routing and planning systems.
• Handle data gaps, uncertainty, and changing network conditions without breaking execution.
• Integrate routing systems into real-time and batch planning pipelines.
• Partner with feasibility, simulation, and execution teams to validate route executability.
• Support scenario testing, what-if analysis, and iterative optimization based on real operational feedback.
Qualifications:
Required:
• Strong programming skills in Python or similar, with experience translating mathematical models into production-grade systems.
• Experience integrating routing or optimization algorithms into live planning pipelines with monitoring, validation, and performance tuning.
• Degree or equivalent experience in Operations Research, Applied Math, Industrial Engineering, Computer Science, or related field.
• Strong foundation in graph theory and network optimization.
• Strong foundation in shortest-path algorithms (Dijkstra, A*, Bellman-Ford).
• Strong foundation in network flow models (max flow, min cut, min-cost flow).
• Experience with VRP, capacitated routing, or routing with time windows.
• Experience with large-scale graphs, time-expanded networks, or multi-commodity flow models.
• Hands-on experience with modeling languages and solvers such as Pyomo, GAMS, AMPL, CPLEX, or Gurobi.
• Ability to reason about scale, uncertainty, and time-dependent systems.
• Comfort owning routing logic and data end-to-end.
• Strong performance, correctness, and reliability mindset in high-stakes environments.
• This position requires the ability to obtain and maintain a U.S. security clearance and work in classified environments when necessary.
Preferred:
• Experience with vehicle routing or transportation systems.
• Experience working alongside simulation or digital-twin teams.
• Exposure to defense, government, or mission-critical logistics.
• Experience with ML models, experimentation (A/B testing), or causal inference.
• Experience in data operationalization and production analytics.
Company:
Gallatin is building a logistics platform based on the needs and constraints of today's defense industry. Founded in 2024, the company is headquartered in El Segundo, USA, with a team of 11-50 employees. The company is currently Early Stage.

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