Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 15-1241.00
Design and implement computer and information networks, such as local area networks (LAN), wide area networks (WAN), intranets, extranets, and other data communications networks. Perform network modeling, analysis, and planning, including analysis of capacity needs for network infrastructures. May also design network and computer security measures. May research and recommend network and data communications hardware and software.
Also called: Computer Network Technologist · Network Analyst · Solutions Architect · Systems Engineer · Network Consultant · Network Systems Consultant · Networking Systems Engineer · System Programmer · WAN Engineer (Wide Area Network Engineer) · Wireless Network Engineer · Cloud Architect · Cloud Network Engineer
Job family: Computer and Mathematical Occupations
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/roles/role-15-1241-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
87th-percentile task overlap — yet about 11,200 openings a year (+11.9% projected, BLS) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) High | 84th | 0.9 | |
| AI assistant applicability (Microsoft) High | 80th | 0.3 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.4), with simple added tooling (β 0.7), and including AI-powered software (γ 0.9). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Prepare detailed network specifications, including diagrams, charts, equipment configurations, or recommended technologies. | 4.5% | |
| Explain design specifications to integration or test engineers. | 2.3% | |
| Develop or recommend network security measures, such as firewalls, network security audits, or automated security probes. | 1.3% | |
| Develop conceptual, logical, or physical network designs. | 1.2% | |
| Maintain networks by performing activities such as file addition, deletion, or backup. | 1.0% | |
| Design, build, or operate equipment configuration prototypes, including network hardware, software, servers, or server operation systems. | 1.0% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Growing fast · +11.9% by 2034 |
| Projected annual openings | 11,200 |
| Employment 2024 → 2034 | 179,200 → 200,600 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 33 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Computers and Electronics | 4.7 | |
| Engineering and Technology | 4.3 | |
| Telecommunications | 4.3 | |
| English Language | 3.8 | |
| Education and Training | 3.3 | |
| Design | 3.2 | |
| Customer and Personal Service | 3.1 | |
| Mathematics | 3.0 |
| Critical Thinking | 4.1 | |
| Reading Comprehension | 4.0 | |
| Active Listening | 3.8 | |
| Writing | 3.6 | |
| Speaking | 3.5 | |
| Active Learning | 3.3 | |
| Monitoring | 3.1 | |
| Mathematics | 3.0 | |
| Learning Strategies | 3.0 |
| Oral Comprehension | 4.0 | |
| Written Comprehension | 4.0 | |
| Written Expression | 4.0 | |
| Problem Sensitivity | 4.0 | |
| Deductive Reasoning | 4.0 | |
| Inductive Reasoning | 4.0 | |
| Information Ordering | 4.0 | |
| Category Flexibility | 4.0 | |
| Oral Expression | 3.8 | |
| Near Vision | 3.8 | |
| Speech Clarity | 3.5 | |
| Speech Recognition | 3.3 | |
| Fluency of Ideas | 3.1 | |
| Flexibility of Closure | 3.1 |
| Complex Problem Solving | 3.9 | |
| Programming | 3.9 | |
| Systems Evaluation | 3.9 | |
| Judgment and Decision Making | 3.8 | |
| Systems Analysis | 3.8 | |
| Coordination | 3.5 | |
| Quality Control Analysis | 3.3 | |
| Technology Design | 3.1 | |
| Time Management | 3.1 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 107.
Showing the top 40 of 278.
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
What to study: Computer and Information Sciences and Support Services , Engineering . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Bachelor's Degree | 55.0% | |
| Post-Secondary Certificate | 15.0% | |
| Associate's Degree (or other 2-year degree) | 15.0% | |
| Less than a High School Diploma | 5.0% | |
| Post-Baccalaureate Certificate | 5.0% | |
| Master's Degree | 5.0% |
The interests and personal qualities O*NET associates with people who do this work.
| Dependability | 7.0 | |
| Attention to Detail | 6.0 | |
| Integrity | 5.0 | |
| Cautiousness | 4.0 | |
| Intellectual Curiosity | 3.0 | |
| Innovation | 2.4 |
| Information Technology | 6.6 | |
| Engineering | 4.9 | |
| Mathematics/Statistics | 3.6 | |
| Mechanics/Electronics | 3.4 | |
| Management/Administration | 2.9 |
| Investigative | 5.3 | |
| Conventional | 5.1 | |
| Realistic | 4.0 | |
| Enterprising | 3.2 | |
| Artistic | 2.3 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $79,520 |
| 25th percentile | $102,120 |
| Median (50th) | $130,390 |
| 75th percentile | $164,440 |
| 90th percentile | $198,030 |
| People employed | 177,010 |
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Professional, Scientific, and Technical Services · Sector | 65,030 | $131,470 |
| Information · Sector | 32,580 | $125,140 |
| Management of Companies and Enterprises · Sector | 17,530 | $137,770 |
| Finance and Insurance · Sector | 17,110 | $136,230 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 10,830 | $127,800 |
| Wholesale Trade · Sector | 6,990 | $147,170 |
| Manufacturing · Sector | 6,790 | $137,280 |
| Temporary Help Services · National industry | 6,380 | $130,670 |
| Educational Services · Sector | 4,950 | $105,810 |
| Health Care and Social Assistance · Sector | 4,410 | $119,450 |
| Engineering Services · National industry | 4,130 | $127,160 |
| Direct Health and Medical Insurance Carriers · National industry | 1,860 | $136,370 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Information · Sector | 9.76× | 32,580 |
| Management of Companies and Enterprises · Sector | 5.44× | 17,530 |
| Professional, Scientific, and Technical Services · Sector | 5.26× | 65,030 |
| Direct Health and Medical Insurance Carriers · National industry | 3.61× | 1,860 |
| Engineering Services · National industry | 3.11× | 4,130 |
| Fossil Fuel Electric Power Generation · National industry | 3.05× | 250 |
| Finance and Insurance · Sector | 2.39× | 17,110 |
| Temporary Help Services · National industry | 2.1× | 6,380 |
Part of the Digital Technology career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Computer Network Architects — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
Computer Network Architects show 87th-percentile AI task overlap — and about 11,200 annual U.S. openings
Computer Network Architects show 87th-percentile AI task overlap — and about 11,200 annual U.S. openings • Computer Network Architects rank in the 87th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 11,200 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be growing fast (+11.9%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $130,390, across about 177,010 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Computer Network Architects". https://singulariki.com/roles/role-15-1241-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
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Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Computer Network Architects." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-15-1241-00
Singulariki. (2026). Computer Network Architects. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-15-1241-00
@misc{singulariki-role-15-1241-00,
title = {Computer Network Architects},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-15-1241-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.