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Ai Network Engineer Jobs in Utah (NOW HIRING)

Deloitte

Network Engineer III

Salt Lake City, UT · Hybrid

Senior Network Engineer Our Enterprise Networks practice, part of Hybrid Cloud Infrastructure within AI & Engineering, helps clients architect, modernize, and operate the network foundation that ...

Wyetech

Network Engineer 1

Bluffdale, UT · On-site

$45.92 - $79.48/hr

Three years demonstrable experience (with degree, or 5 without) in network engineering (LAN ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Wyetech

Network Engineer 3

Bluffdale, UT · On-site

$72.67 - $114.70/hr

Eight years demonstrable experience (with degree, or 10 without) in network engineering (LAN ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Wyetech

Network Engineer 1

Bluffdale, UT

$45.92 - $79.48/hr

Three years demonstrable experience (with degree, or 5 without) in network engineering (LAN ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Wyetech

Network Engineer 3

Bluffdale, UT

$72.67 - $114.70/hr

Eight years demonstrable experience (with degree, or 10 without) in network engineering (LAN ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Wyetech

Network Engineer 1

Bluffdale, UT · On-site

$45.92 - $79.48/hr

Three years demonstrable experience (with degree, or 5 without) in network engineering (LAN ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Wyetech

Network Engineer 3

Bluffdale, UT · On-site

$72.67 - $114.70/hr

Eight years demonstrable experience (with degree, or 10 without) in network engineering (LAN ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Deloitte

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the ...

Deloitte

Data Engineer II

Salt Lake City, UT

$110K - $133K/yr

... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the ...

Weave

Staff SIP Engineer

Lehi, UT · On-site

Monitor and analyze VoIP network performance, identify areas for improvement, and implement ... AI may assist with things like writing s, scheduling interviews, or reviewing applications against ...

Apply

Staff SIP Engineer

Lehi, UT · On-site

Monitor and analyze VoIP network performance, identify areas for improvement, and implement ... AI may assist with things like writing s, scheduling interviews, or reviewing applications against ...

Weave

Staff SIP Engineer

Lehi, UT · On-site

Monitor and analyze VoIP network performance, identify areas for improvement, and implement ... AI may assist with things like writing s, scheduling interviews, or reviewing applications against ...

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All JobsAi Network Engineer JobsAi Network Engineer Jobs in Utah

Ai Network Engineer information

See Utah salary details

$28.2K

$99.3K

$143.8K

How much do ai network engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for ai network engineer in Utah is $99,266.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $121,500.00 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.
Ai Network Engineer jobs near you
Infographic showing various Ai Network Engineer job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $99,266 per year, or $47.7 per hour.

Network Engineer, Foundation & Support

Eagle Mountain, UT

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

$135K/yr

Full-time

Re-posted 17 days ago

Key responsibilities

  • Support all aspects of data center construction and network deployment, including new greenfield sites, collocation build outs, and retrofits

  • Collaborate with network engineering, data center design, and data center connectivity teams to generate network infrastructure design packages and solutions for the deployment team

  • Build and nurture business relationships with key stakeholders, partners, and vendors

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Meta's Edge & Network Services (ENS) team is actively looking for a Network Engineer to help us tackle the unique set of challenges and opportunities we face, while contributing to our company's mission of building the future of human connection and the technology that makes it possible. This global team offers the opportunity to work with the latest data center network infrastructure technologies and talented engineers in solving some of the most complex problems in the industry. For this role, we are looking for a Network Engineer with solid experience in cable infrastructure and fiber connectivity solutions, including the design and build out of data center infrastructure. We are also seeking someone who can use their coding and automation experience to help improve our data center design, construction, and facility operations and processes.
Network Engineer, Foundation & Support Responsibilities:
  • Support all aspects of data center construction and network deployment, including new greenfield sites, collocation build outs, and retrofits
  • Collaborate with network engineering, data center design, and data center connectivity teams to generate network infrastructure design packages and solutions for the deployment team
  • Act as a subject matter expert (SME) for the physical infrastructure and design and deployment of the building management system (BMS), controls network, and other general services networks in the data center
  • Partner with our software teams to ensure our Fiber Infrastructure Management tool accurately reflects the network infrastructure design intent and captures any infrastructure changes
  • Perform logical network bootstrapping functions to ensure our internal tools correctly reflect the network infrastructure for field installations
  • Build and nurture business relationships with key stakeholders, partners, and vendors
  • Initiate and lead strategic initiatives driving efficiency, innovation, and standardization of our data centers through the use of coding and automation
  • Perform site visits and work cross-functionally with construction, design architects, and contractors to validate cabling infrastructure and network builds according to Meta's standards
  • Influence future iterations of data center and network designs to ensure seamless integration of new infrastructure and enable scalability
  • Maintain technical references, processes, and training documentation
  • Develop automation and tooling to drive consistency and efficiency in all aspects of network design, deployment, and operations
  • 10% to 30% of travel required based on project demand

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
  • 7+ years of work experience with designing and deploying large-scale data center network infrastructure
  • Demonstrated knowledge of structured cabling and fiber optic infrastructure, including design and installation best practices, and industry standards
  • Knowledge of the data center's design, construction, and commissioning processes
  • Experience leading cross-functional teams and driving large-scale data center projects
  • Track record of solving problems, setting strategic direction, and executing tactically
  • Working knowledge of internet networking technologies (TCP/IP, routing, switching), and optical transport technologies
  • Knowledge of enterprise and provider-level network hardware platforms (IP and optical)
  • Organizational, multitasking, prioritization, and communication skills experience

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • In-depth experience with inside/outside plant cable design and dark fiber builds
  • Experience working on a global team in a matrixed environment with limited supervision
  • 2+ years of programming experience in at least one language, such as Python, C++, Go, or other languages
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience in adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy review)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Data center design or relevant telecommunications certifications
  • Experience working with on-site construction teams and managing contractors and vendor relationships
  • Knowledge of data center facilities management using building management and automation systems

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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