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Occupation · 2026 assessment

Inzhener-razrabotchik integralnykh skhem (mikroskhem)

Inzhener-razrabotchik integralnykh skhem (mikroskhem) is an occupation responsible for building, testing or supporting digital systems and data in a defined technology domain. The profile assesses automation of individual tasks rather than disappearance of the whole occupation.

High risk level Search jobs ↗
How risk may change

A forecast estimate, not a guaranteed scenario.

68%2026
72%2028
77%2030
85%2035

Which tasks are exposed

Risk applies to individual tasks—not to a person or an entire occupation.

TaskRisk
Generating CRUD code and standard modules96%
Creating migrations, tests and documentation92%
Reviewing and validating generated code61%
Generating routine code and configuration93%
Preparing tests and technical documentation89%
Classifying errors and analyzing logs81%
Data migrations and routine integrations83%
Architecture and technical trade-offs56%

Task map

AI replaces ↔ AI augments

Each task is positioned by AI capability and the degree of human involvement still required.

  1. 1Generating CRUD code and standard modulesAI 96% · human 33%
  2. 2Creating migrations, tests and documentationAI 92% · human 32%
  3. 3Reviewing and validating generated codeAI 61% · human 50%
  4. 4Generating routine code and configurationAI 93% · human 36%
  5. 5Preparing tests and technical documentationAI 89% · human 46%
  6. 6Classifying errors and analyzing logsAI 81% · human 37%
  7. 7Data migrations and routine integrationsAI 83% · human 37%
  8. 8Architecture and technical trade-offsAI 56% · human 44%

Why technology can change this work

  • AI agents already create routine functions, tests, migrations and documentation
  • code, configuration and documentation are already digital
  • a large share of textual, analytical or information tasks is accessible to current AI models
  • the main inputs and outputs already exist in a digital environment
  • the scale and cost of routine operations create a strong automation incentive
  • routine code, tests and technical text can be generated automatically

What protects the occupation

  • understanding architecture and the consequences of changing a live system
  • architecture decisions and production accountability
  • understanding business constraints and legacy systems
  • security and complex system integration

United States · before tax

Average pay and outlook

Estimated nominal monthly pay. The scenario reflects sector, demand and task resilience; it is not a guarantee of income.

2026$9 800per month
2035$12 450scenario estimate
2026: $9 80020262027: $10 05020272028: $10 35020282029: $10 60020292030: $10 90020302031: $11 20020312032: $11 50020322033: $11 80020332034: $12 10020342035: $12 4502035
Find jobs ↗The partner link may contain referral parameters. Data benchmark: U.S. Bureau of Labor Statistics ↗

Practical next step

Where to move next

Do not restart from zero: carry your experience forward and add scarce skills.

AI Engineer

Established resilient role
New role risk13%
DemandHighDifficultyLowTime3–6 monthsSkill fit89%

AI Application Engineer

Established resilient role
New role risk19%
DemandHighDifficultyLowTime3–6 monthsSkill fit87%

AI Agent Supervisor

Emerging role
New role risk24%
DemandHighDifficultyLowTime3–6 monthsSkill fit85%

AI Evaluation Engineer

Emerging role
New role risk16%
DemandHighDifficultyLowTime3–6 monthsSkill fit83%

Data Analyst

Established resilient role
New role risk51%
DemandMediumDifficultyLowTime3–6 monthsSkill fit79%

Analytics Engineer

Established resilient role
New role risk27%
DemandHighDifficultyLowTime3–6 monthsSkill fit81%

Job search and transitions

Find work with a lower risk index

Compare adjacent paths and open a current search for the selected occupation.

Skills you already have

  • reading existing code
  • task decomposition
  • systems thinking
  • software-system understanding
  • debugging
  • requirements work

Skills to build

  • software AI-agent orchestration
  • review and validation of generated code
  • AI-agent-assisted development
  • architecture and system design
  • AI-generated code security
  • observability and DevOps
CurrentInzhener-razrabotchik integralnykh skhem (mikroskhem) · 68%
→
Keepreading existing code · task decomposition · systems thinking
→
Addsoftware AI-agent orchestration · review and validation of generated code · AI-agent-assisted development

Sources and update

Updated: 2026-09-26 · Assessment confidence: Medium

International Labour Organization · 2025Generative AI and Jobs: A Refined Global Index of Occupational Exposure

Nearly 30,000 tasks; a global assessment of GenAI exposure across detailed occupational groups.

World Economic Forum · 2025The Future of Jobs Report 2025

A survey of more than 1,000 employers representing over 14 million workers across 55 economies.

O*NET Resource Center · 2026O*NET Database

Occupational, task, skill and work-context structure.