As of June 2026, Computer Systems Engineers/Architects has an AI-exposure score of 71/100 (High exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.

AI Exposure Score for

Computer Systems Engineers/Architects

71/100
High exposure
LowModerateElevatedHighVery High

More exposed than 92% of the roles we track. Median pay ~US$116,580. About 31,300 projected openings a year (BLS 2024–34 — growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) — your local figures will differ. Your exposure score applies broadly.

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Data sources, not endorsements: O*NET task data, BLS employment/pay/demand, and Anthropic Economic Index signals.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Design and develop solutions to complex applications problems, system administration issues, or network concerns. Perform systems management and integration functions.

Common titles
IT Architect (Information Technology Architect)Infrastructure EngineerSolutions ArchitectSystems EngineerIT Engineer (Information Technology Engineer)Network and Infrastructure Engineer
O*NET job-zone preparation
Job Zone 3 · Medium Preparation Needed Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree. Previous work-related skill, knowledge, or experience is required for these occupations.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Critical ThinkingReading ComprehensionSpeakingSystems AnalysisSystems EvaluationWriting
Tools and technology
Amazon Web Services AWS softwareAnsible softwareAtlassian JIRABashCC++
Work context
Email useIndoor controlled settingTelephoneFace-to-face discussionsFrequent contact with others

Source: O*NET 29.1 exact occupation - Computer Systems Engineers/Architects, SOC 15-1299.08. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Computer Systems Engineers/Architects tasks, by AI exposure

Automatable
  • Monitor system operation to detect potential problems.
  • Direct the installation of operating systems, network or application software, or computer or network hardware.
  • Identify system data, hardware, or software components required to meet user needs.
16 more automatable tasks locked in the report.
Augmentable
  • Collaborate with engineers or software developers to select appropriate design solutions or ensure the compatibility of system components.
Durable

No durable tasks identified for this role — its real, individually-assessed tasks consistently read as automatable (95%).

We analyzed all 20 Computer Systems Engineers/Architects tasks — 19 automatable and 1 augmentable. The full task map — every task with exactly what to do about each — is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Safer role shortlist

5-10 adjacent roles with salary, demand, and reachability.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET + the Anthropic Economic Index + BLS — not generic ChatGPT advice.

Safer adjacent roles

Computer Systems Analysts
80% skills overlap · Very High exposure · ~US$105,850
73
7 more safer roles with salary, demand & a reachability map — in your Career Report.
AI-augmentation kit (prompt preview) You are my AI copilot for "Monitor system operation to detect potential problems.". I'll paste the inputs; draft the first version and flag exactly what needs my judgment, then iterate until…
The full, copy-paste-ready prompt — one per exposed task — is in your Career Report.

Your AI-Safe Career Report

Every task scored with what to do about it · 5–10 safer roles with salary, demand & reachability · skill-gap map · a 30/60/90-day roadmap · plus a résumé & LinkedIn rewrite · PDF.
Grounded in O*NET + the Anthropic Economic Index + BLS — personalized to your role.

AI was the most-cited reason for U.S. layoffs through mid-2026 — the workers who adapt earliest fare best. — Challenger, Gray & Christmas, 2026The upside: Workers with AI skills earn a roughly 62% wage premium — adapting pays. — PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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Computer Systems Engineers/Architects — median pay by US state (BLS OEWS, USD)

California: US$134,440New York: US$116,990Texas: US$111,530

Median annual wage, in USD. US national: US$116,580. More states are being added.

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