Medium AI Risk Average

Architectural and engineering managers

SOC Code: 11-9041

Architectural and engineering managers carries a 26% AI exposure score (Medium automation risk), with a median annual wage of $167,740 and +3.8% projected employment growth from 2024 to 2034 (BLS), affecting approximately 212,500 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
26% Medium
Below-average exposure

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+3.8%
Typical growth
2024–2034 (BLS)
+8,000 jobs
Median Annual Wage
$167,740
Top 10% pay
BLS May 2024
How wage figures are sourced →
The verdict

At 26% AI exposure, Architectural and engineering managers sits 11 points below the 37.2% average across 832 U.S. occupations - more exposed than 17% of them. Most of its core tasks still require human judgment.

26%
AI exposure
17th
percentile
+3.8%
Job growth 2024–34
$167,740
Median wage
A-

Career outlook score

82/100

Architectural and engineering managers, weighted across 3 of 3 tracked dimensions

A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.

  • Median wage A+ $167,740

    Annual median wage, percentile rank vs all tracked occupations

  • Projected growth C+ +3.8%

    Projected employment change, 2024-2034, BLS Employment Projections

  • AI exposure (inverted) A- 26% exposure

    Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure

Employment vs AI exposure

Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).

4.3M
Home health and personal care aides employment (#1)
#392
Home health and personal care aides AI rank
95%
Bookkeeping, accounting, and auditing clerks AI exposure (#1)
#17
Bookkeeping, accounting, and auditing clerks employment rank

Automation-risk inventory

Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Architectural and engineering managers in the Medium band.

Credential × growth standing

Bachelor's band with mid-pack BLS pace

Architectural and engineering managers shares the Bachelor's gate with 178 peer occupations and lands in Average (378 of 832). Neither the rarest nor the most crowded growth shelf - use wage and AI desks on this page for the differentiator.

Where Architectural and engineering managers sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

Where Architectural and engineering managers sits by AI exposure

AI-exposure score distribution across U.S. occupations (O*NET task analysis)

26% Among the lowest lower than 83% of 832 occupations

Occupations, banded by AI-exposure score

Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.

Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

Architectural and engineering managers vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Architectural and engineering managers is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk23.3%38.4%53.5%68.6%83.8%-2.5%4.2%11.0%17.7%24.4%AI exposure (%) →Projected growth (%) →Architectural, AI exposure (%) →: 26% · Projected growth (%) →: 3.8%ArchitecturalGeneral, AI exposure (%) →: 37% · Projected growth (%) →: 4.4%GeneralManagers, AI exposure (%) →: 39% · Projected growth (%) →: 4.5%ManagersFinancial managers, AI exposure (%) →: 81% · Projected growth (%) →: 14.8%Financial managersFarmers, AI exposure (%) →: 28% · Projected growth (%) →: -1.3%FarmersComputer, AI exposure (%) →: 38% · Projected growth (%) →: 15.2%ComputerSales managers, AI exposure (%) →: 48% · Projected growth (%) →: 4.7%Sales managersMedical, AI exposure (%) →: 41% · Projected growth (%) →: 23.2%MedicalConstruction manager, AI exposure (%) →: 29% · Projected growth (%) →: 8.7%Construction managerProperty, AI exposure (%) →: 37% · Projected growth (%) →: 3.6%PropertyMarketing managers, AI exposure (%) →: 35% · Projected growth (%) →: 6.6%Marketing managersFood service manager, AI exposure (%) →: 43% · Projected growth (%) →: 6.4%Food service manager

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

212,500
Employment 2024
220,500
Projected 2034
+3.8%
Change (%)
+8,000
Change (jobs)

Where This Score Comes From

Architectural and engineering managers's Medium automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 11-9041) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Architectural and engineering managers be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Architectural and engineering managers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.

Education & Entry Requirements

Typical Education
Bachelor's degree
Work Experience
5 years or more
On-the-Job Training
None

Top Tasks (O*NET)

  1. 1. Manage the coordination and overall integration of technical activities in architecture or engineering projects.
  2. 2. Design or conduct applied biodiesel or biofuels research projects on topics, such as transport, thermodynamics, mixing, filtration, distillation, fermentation, extraction, and separation.
  3. 3. Direct, review, or approve project design changes.
  4. 4. Analyze data from biofuels studies, such as fluid dynamics, water treatments, or solvent extraction and recovery processes.
  5. 5. Prepare, or oversee the preparation of, experimental plans for biofuels research or development.
  6. 6. Provide technical or scientific guidance to technical staff in the conduct of biofuels research or development.
  7. 7. Consult or negotiate with clients to prepare project specifications.
  8. 8. Propose new biofuels products, processes, technologies or applications based on findings from applied biofuels or biomass research projects.
  9. 9. Conduct experiments on biomass or pretreatment technologies.
  10. 10. Prepare biofuels research and development reports for senior management or technical professionals.

Key Skills Required

  • Reading Comprehension
  • Writing
  • Speaking
  • Critical Thinking
  • Complex Problem Solving
  • Judgment and Decision Making
  • Systems Analysis
  • Active Listening
  • Systems Evaluation
  • Active Learning

Knowledge Areas

  • English Language
  • Chemistry
  • Engineering and Technology
  • Mathematics
  • Production and Processing
  • Computers and Electronics
  • Mechanical
  • Administration and Management
  • Customer and Personal Service
  • Physics

Frequently Asked Questions

Will AI replace Architectural and engineering managers?

Architectural and engineering managers has an AI exposure score of 26%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Architectural and engineering managers?

According to BLS Employment Projections 2024-2034, Architectural and engineering managers is projected to grow by 3.8% over the decade. Current employment stands at approximately 212,500 workers.

What skills are needed for Architectural and engineering managers?

Key skills for Architectural and engineering managers include Reading Comprehension, Writing, Speaking, and others. Typical entry-level education is Bachelor's degree.

How much do Architectural and engineering managers earn?

The median annual wage for Architectural and engineering managers is $167,740, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Architectural and engineering managers?

The typical entry-level education for Architectural and engineering managers is Bachelor's degree. Employers generally expect 5 years or more of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.

Which companies employ Architectural and engineering managers?

Architectural and engineering managers roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

1.3
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

Nationwide occupations with similar workforce profiles

Two data-derived peer sets for Architectural and engineering managers: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).

Similar AI exposure score

Nearest O*NET task-automability scores nationwide (26% here).

Similar projected growth (2024–2034)

Nearest BLS employment change rates nationwide (+3.8% here).

Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.

What to do with this

Use Architectural and engineering managers' numbers above to compare, not just read in isolation.

AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.

Sources: BLS Employment Projections 2024-2034, O*NET Database 30.0.