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Network Ai Jobs (NOW HIRING)

Oracle

Principal Engineer - AI Networking

Seattle, WA · On-site

Experience developing congestion management, traffic engineering, or network resiliency solutions ... And with AI embedded across our products and services, we help customers turn that promise into a ...

Hut 8

Senior Network Engineer

Miami, FL · On-site

$99K - $136K/yr

Key Responsibilities AI & HPC Network Architecture * Design and maintain High-Speed Ethernet and InfiniBand fabrics for GPU clusters. * Deploy and manage EVPN/VXLAN spine-leaf architectures.

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How much do network ai jobs pay per year?

As of Jul 4, 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 are the key skills and qualifications needed to thrive in the Network Ai position, and why are they important?

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 a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. Such roles may involve overseeing AI projects, developing innovative algorithms, or managing teams, and they usually offer compensation in the upper salary range due to the specialized expertise required.

Which AI job is high paying?

In the AI field, roles such as AI Research Scientist, Machine Learning Engineer, and Data Scientist tend to be the highest paying, especially with advanced skills in deep learning, natural language processing, and experience with tools like TensorFlow or PyTorch. Senior positions or those requiring specialized expertise and certifications often command higher salaries.

What jobs make $3,000 a day?

High-level roles such as senior software engineers, data scientists, or specialized AI professionals can earn $3,000 or more per day, especially when working as consultants or in contract positions. These jobs typically require advanced skills, certifications, and experience in technology, AI, or finance sectors, often involving project-based or freelance work with high demand and expertise.

Is AI taking networking jobs?

Network AI professionals focus on integrating artificial intelligence into network management and security. While AI automates certain tasks like monitoring and troubleshooting, it generally complements human expertise rather than replacing networking jobs entirely, and skills in network protocols and cybersecurity remain essential.

What is a Network AI job?

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 are the typical projects or responsibilities of a Network AI professional?

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.

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Network Ai jobs near you

Network & AI Engineering Lead

Osage Nation Health Center

Pawhuska, OK

$87K - $121K/yr

Full-time

Posted 4 days ago

Job description

The Network & AI Engineering Lead is responsible for the design, implementation, operational support, and autonomous automation of the enterprise network across multiple properties. This role leverages advanced technical experience to manage core routing, switching, wireless infrastructure, WAN connectivity, and high-level network security systems. Crucially, this position bridges traditional enterprise infrastructure with cutting-edge AI engineering, architecting LLM agent frameworks, RAG systems, and autonomous automation pipelines—leveraging both the Microsoft Azure AI ecosystem and specialized open-source models—to create a self-healing, highly optimized network environment.

Please complete your application at osagenation-nsn.gov            Thank you for applying!

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Required Qualifications

  • Bachelor's degree in MIS, IT, or related field, or equivalent professional experience.
  • 7 or more years of enterprise networking experience across multi-site environments.
  • 4 years AI Engineering Experience.
  • Advanced proficiency building and integrating modern AI toolchains, agent systems, retrieval architectures, and autonomous automation workflows into production operations.

General Qualifications

  • Strong experience with enterprise routing, switching, wireless, VPN, segmentation, and network security systems.
  • Experience supporting regulated or high-compliance environments such as gaming, hospitality, healthcare, Tribal enterprises, or similar operational settings.
  • Experience in agent engineering, including orchestration frameworks, tool-calling systems, context/memory strategies, and deployment of autonomous or semi-autonomous AI workflows.
  • Experience building evaluation harnesses, regression suites, and validation frameworks for LLM or agent-based systems.
  • Experience implementing AI governance and safety controls, including approvals, audit logging, policy enforcement, and secure access boundaries for sensitive tools and data.
  • Proficiency in modern development and infrastructure tooling such as Python, TypeScript, REST/FastAPI, Docker, and API integration patterns.
  • Strong documentation, troubleshooting, project coordination, and cross-functional communication skills.
  • Must be able to obtain/maintain required licensing for Network and & AI Engineering needs.
  • Basic Life Support Certification or obtain within 90 days of hire
  • Requires a high level of personal integrity and ethics 
  • Requires a high level of problem-solving skills 
  • Must maintain confidentially at all times 
  • Must be able to pass a criminal background check 
  • Must be able to pass a drug/alcohol test
  • Must have a clean driving record – may be required to drive a GSA or tribal vehicle to training seminars or meetings 

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