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Ai Network Engineer Jobs in Alabama (NOW HIRING)

Troy University

Network Engineer

Troy, AL · On-site

Posting Details Position Information Posting Number SF2505P Position Title Network Engineer ... Vectra Security AI * QRadar Offense Correlation * Works with external vendors for ISP Connectivity ...

Deloitte

Data Engineer

Birmingham, AL · On-site

$107K - $128K/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

Birmingham, AL · On-site

$107K - $128K/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 ...

Iberdrola Renewables

$95K - $114K/yr

Engineer - GEN AI Reports to: Senior Manager - IT Infrastructure Location: In Office , Orange CT ... Network and Corporate functions. This does not include those that will work for Avangrid Power.

New

Pwc

AI Engineer

Birmingham, AL · On-site

$55K - $187K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... network methodologies to optimize AI model performance - Managing data pipelines to validate ...

DESE Research, Inc.

AI / ML Engineer

Huntsville, AL · On-site

DESE's Cyber Works and Digital Engineering teams design, build, and integrate emerging AI/ML ... Familiarity with computer networking, secure system integration for mission platforms, and test/V&V ...

Meta

LINCS Security Engineer

Huntsville, AL

$162K/yr

LINCS Security Engineer Responsibilities: * Manage security risk across logical and physical ... network infrastructure Preferred Qualifications: * Demonstrated ability to integrate AI tools to ...

Deploy

AI / ML Engineer

Huntsville, AL · On-site

$85K - $199K/hr

... Digital Engineering teams in Huntsville, Alabama design, build, and integrate emerging AI/ML ... Familiarity with computer networking, secure system integration for mission platforms, and test/V&V ...

Empower AI Inc.

Cloud Engineer

Montgomery, AL · Hybrid

$55.25 - $73.75/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... Oversee hybrid network connectivity including SD-WAN, AWS Direct Connect, Azure ExpressRoute, and ...

DESE Research, Inc.

AI / ML Engineer

Huntsville, AL · On-site

DESE's Cyber Works and Digital Engineering teams design, build, and integrate emerging AI/ML ... Familiarity with computer networking, secure system integration for mission platforms, and test/V&V ...

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All JobsAi Network Engineer JobsAi Network Engineer Jobs in Alabama

Ai Network Engineer information

See Alabama salary details

$28.1K

$98.8K

$143.2K

How much do ai network engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for ai network engineer in Alabama is $98,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,700.00 and $121,000.00 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 Alabama as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 12% Part Time, and 8% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $98,832 per year, or $47.5 per hour.

Network Engineer, Deployment & Support

Huntsville, AL

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

$106K/yr

Full-time

Re-posted 28 days ago

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 Engineer to join a team responsible for planning and executing network deployments and migrations across one of the world's largest and most complex backbone, edge, and optical networks. As a member of this team, you will have a unique opportunity to work on projects related to the planning, implementation, and scaling of Meta's AI network infrastructure. This team is responsible for planning and executing network migrations for one of the world's largest AI backbone and edge networks. As a Network Deployment Engineer, you will propose new ideas, gather constructive feedback from stakeholders, and drive implementation of improvements.
Network Engineer, Deployment & Support Responsibilities:
  • Proactively partner with backbone engineering, capacity planning, business, and operations teams to synthesize complex cross-functional requirements into scalable infrastructure solutions
  • Plan, schedule, and execute complex deployments and migrations across Meta's optical backbone network, including long-haul terrestrial, regional metro, and subsea segments connecting data centers and PoP sites
  • Make independent, high-impact technical and planning decisions affecting backbone network deployment and operations
  • Provide technical expertise on network deployment and migration across data centers and POPs, spanning space & power, configuration, testing, and production handoff
  • Collaborate on strategic road mapping and organizational initiatives to prioritize scalable, efficient, and reliable network migrations aligned with business goals
  • Contribute to Optical Transport Network (OTN) deployment/migration strategies of network architecture spanning data centers, backbone, edge, and cloud platforms
  • Create and analyze network code, automate network configurations and migrations through scripting, and leverage AI to enhance network operations
  • Work cross-functionally to generate implementation plans including Method of Procedure (MOP), Bill of Materials (BOM), and Engineering Design Packages (EDP)
  • Maintain standards for all builds and design packages for metro, regional and long-haul DWDM rings/systems
  • Serve as a representative in large-scale program initiatives, driving alignment and execution across teams and stakeholders
  • Manage partner engineering team relationships to enable the team(s) to effectively meet business needs
  • Manage key vendor relationships including contract negotiations, pricing, and evaluation of current and potential partnerships
  • Drive alignment on workflow management tooling requirements, focusing on efficiency and automation roadmaps
  • Leverage a data driven approach to influence business and network health metrics

Minimum Qualifications:
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • 5+ years of experience in optical network engineering, design, or deployment with expertise in DWDM, ROADM, OTN (G.709), and coherent optics (400G/800G)
  • Experience with optical line systems and transponder platforms (e.g., Ciena, Nokia, Infinera, or equivalent)
  • Demonstrated expertise in architecting and deploying complex network solutions across data centers, backbone, edge, and public cloud environments
  • Experience with field-based work in 3rd Party Network Collocation Facilities, Internet Exchanges, Data Center, Central Offices, etc
  • Track record of defining and executing successful network strategies with measurable, organization-wide impact
  • Experience analyzing data to inform decisions, communicating technical plans and risks to stakeholders in writing, and collaborating across cross-functional teams to deliver results in large-scale contexts
  • Experience in communicating risks and action plans to stakeholders as well as building relationships and collaboration within a cross-functional team and business leaders
  • Willingness to travel approximately 10% of the time

Preferred Qualifications:
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience working in a Data Center, DC architecture and issues related to data center networks
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience building automation workflows using Python, Go, or similar languages, and working with network configuration management tooling
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Working knowledge of Artificial Intelligence / Machine Learning models
  • Advanced degree (Master’s, PhD) in Computer Science, Engineering, or related discipline
  • Experience with process improvement and systems development, leveraging automation to streamline repetitive workflows

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.
$106,995/year to $159,000/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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