entityType = "role"
schemaVersion = "role.v1"
slug = "role-17-2199-00"
socCode = "17-2199.00"
title = "Engineers, All Other"
summary = "All engineers not listed separately."
aliases = ["Application Engineer", "Bioengineer", "Biomedical Engineer", "Coastal Engineer", "Commercial Engineer", "Consulting Engineer", "Corrosion Control Engineer", "Design Engineer", "Director Engineering", "Distribution Engineer", "Engineer", "Engineering Analyst"]
tasks = []
emergingTasks = []
activities = []
capabilities = []
skills = []
tools = []
workContext = []
personFit = []
relatedRoles = []

[preparation]
educationDistribution = []

[educationLevel]
category = "Bachelor's degree"
slug = "bachelor-s-degree"

[market]
medianWage = 117750
meanWage = 121720
pct10Wage = 62840
pct25Wage = 85750
pct75Wage = 152670
pct90Wage = 183510
employment = 150750
areaTitle = "U.S."

[industries]
count = 36

[[industries.top]]
naics = "54"
slug = "54"
title = "Professional, Scientific, and Technical Services"
level = "Sector"
employment = 37330
medianWage = 112040
lq = 3.55

[[industries.top]]
naics = "31-33"
slug = "31-33"
title = "Manufacturing"
level = "Sector"
employment = 36850
medianWage = 107590
lq = 2.95

[[industries.top]]
naics = "541330"
slug = "541330"
title = "Engineering Services"
level = "National industry"
employment = 16150
medianWage = 101730
lq = 14.29

[[industries.top]]
naics = "42"
slug = "42"
title = "Wholesale Trade"
level = "Sector"
employment = 6470
medianWage = 103760
lq = 1.1

[[industries.top]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 6030
medianWage = 95040
lq = 0.68

[[industries.top]]
naics = "55"
slug = "55"
title = "Management of Companies and Enterprises"
level = "Sector"
employment = 5210
medianWage = 122930
lq = 1.9

[[industries.top]]
naics = "51"
slug = "51"
title = "Information"
level = "Sector"
employment = 3800
medianWage = 159700
lq = 1.34

[[industries.top]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 3680
medianWage = 88000
lq = 1.42

[[industries.top]]
naics = "23"
slug = "23"
title = "Construction"
level = "Sector"
employment = 3520
medianWage = 81570
lq = 0.44

[[industries.top]]
naics = "22"
slug = "22"
title = "Utilities"
level = "Sector"
employment = 2970
medianWage = 118630
lq = 5.24

[[industries.top]]
naics = "541380"
slug = "541380"
title = "Testing Laboratories and Services"
level = "National industry"
employment = 2780
medianWage = 102200
lq = 16.69

[[industries.top]]
naics = "61"
slug = "61"
title = "Educational Services"
level = "Sector"
employment = 2720
medianWage = 98560
lq = 0.2

[[industries.concentrated]]
naics = "221114"
slug = "221114"
title = "Solar Electric Power Generation"
level = "National industry"
employment = 270
lq = 19.8

[[industries.concentrated]]
naics = "541380"
slug = "541380"
title = "Testing Laboratories and Services"
level = "National industry"
employment = 2780
lq = 16.69

[[industries.concentrated]]
naics = "541330"
slug = "541330"
title = "Engineering Services"
level = "National industry"
employment = 16150
lq = 14.29

[[industries.concentrated]]
naics = "221115"
slug = "221115"
title = "Wind Electric Power Generation"
level = "National industry"
employment = 110
lq = 11.33

[[industries.concentrated]]
naics = "22"
slug = "22"
title = "Utilities"
level = "Sector"
employment = 2970
lq = 5.24

[[industries.concentrated]]
naics = "221113"
slug = "221113"
title = "Nuclear Electric Power Generation"
level = "National industry"
employment = 190
lq = 5.23

[[industries.concentrated]]
naics = "221112"
slug = "221112"
title = "Fossil Fuel Electric Power Generation"
level = "National industry"
employment = 360
lq = 5.16

[[industries.concentrated]]
naics = "54"
slug = "54"
title = "Professional, Scientific, and Technical Services"
level = "Sector"
employment = 37330
lq = 3.55

[aiOutlook]
teleworkable = true
usageTasks = []

[aiOutlook.index]
value = 69
percentile = 69
band = "High"
version = "ai-exposure-index-v1"
componentCount = 3

[[aiOutlook.index.components]]
percentile = 67
source = "felten_aioe"

[[aiOutlook.index.components]]
percentile = 70
source = "openai_gpts_are_gpts"

[[aiOutlook.index.components]]
percentile = 71
source = "microsoft_working_with_ai"

[aiOutlook.freyHistorical]
source = "frey"
label = "Computerization probability (Frey & Osborne, 2013)"
value = 0.014
percentile = 9
band = "Low"
note = "A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking."

[aiOutlook.eloundou]
alpha = 0.08
beta = 0.46
gamma = 0.8400000000000001

[aiOutlook.bls]
growthPercent = 2.1
growthPercentile = 42
direction = "About average"
annualOpeningsThousands = 9.3
annualOpeningsPercentile = 61
employment2024Thousands = 158.8
employment2034Thousands = 162.1

[[aiOutlook.exposure]]
source = "felten_aioe"
label = "Overall AI exposure (Felten et al.)"
value = 0.787566
percentile = 67
band = "High"
note = "How much this job's abilities overlap with what AI systems can do, across many AI capabilities. A relative research score, not a forecast of job loss."

[[aiOutlook.exposure]]
source = "eloundou_gamma"
label = "LLM task exposure, γ (OpenAI / Eloundou)"
value = 0.8400000000000001
percentile = 70
band = "High"
note = "Share of this job's tasks where a large language model plus simple tools could cut the time to do them by at least half. γ is capped at 1.0 and many jobs reach that ceiling, so treat a top score as 'in the top group', not a precise rank."

[[aiOutlook.exposure]]
source = "microsoft_applicability"
label = "AI assistant applicability (Microsoft)"
value = 0.21127710657439736
percentile = 71
band = "High"
note = "How applicable today's AI assistants are to this job's activities, measured from real Microsoft Copilot conversations. Applicability is not the same as replacement."

[[aiOutlook.sources]]
source = "bls_employment_projections"
version = "2024-2034"

[[aiOutlook.sources]]
source = "dingel_neiman"
version = "dingel-neiman-workathome"

[[aiOutlook.sources]]
source = "felten_aioe"
version = "felten-raj-seamans-aioe"

[[aiOutlook.sources]]
source = "frey_osborne"
version = "frey-osborne-automation"

[[aiOutlook.sources]]
source = "microsoft_working_with_ai"
version = "working-with-ai"

[[aiOutlook.sources]]
source = "openai_gpts_are_gpts"
version = "gpts-are-gpts"

[counts]
tasks = 0
skills = 0
capabilities = 0
tools = 0
relatedRoles = 0

[source]
dataset = "gold.onet_role_starter_surface"
version = "30.3"
generatedAt = "2026-06-02T21:00:32.945303+00:00"
contentHash = "ce3216550e1e6775"

[[careerClusters]]
cluster = "Advanced Manufacturing"
slug = "advanced-manufacturing"

[[careerClusters]]
cluster = "Agriculture"
slug = "agriculture"

[[careerClusters]]
cluster = "Construction"
slug = "construction"

[[careerClusters]]
cluster = "Energy & Natural Resources"
slug = "energy-natural-resources"

[[studyPrograms]]
title = "Engineering"
slug = "engineering"

[[studyPrograms]]
title = "Engineering/Engineering-Related Technologies/Technicians"
slug = "engineering-engineering-related-technologies-technicians"

[[studyPrograms]]
title = "Health Professions and Related Programs"
slug = "health-professions-and-related-programs"

[[aiSignals]]
source = "frey_osborne"
label = "Computerization probability"
score = 0.014
scale = "0-1 probability"
release = "2013-baseline-2016-employment-snapshot"

[[aiSignals]]
source = "felten_aioe"
label = "AI occupational exposure"
score = 0.787566
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_image_generation_aioe"
label = "Image generation occupational exposure"
score = 1.212927
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_language_modeling_aioe"
label = "Language modeling occupational exposure"
score = 0.5808077
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"
