# Architectural and Engineering Managers

> Plan, direct, or coordinate activities in such fields as architecture and engineering or research and development in these fields.

- **SOC code:** 11-9041.00
- **Canonical URL:** https://singulariki.com/roles/role-11-9041-00
- **Also known as:** Engineering Director, Engineering Program Manager, Project Engineering Manager, Project Manager, Civil Engineering Manager, Electrical Engineering Manager, Engineering Group Manager, Mechanical Engineering Manager
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Manage the coordination and overall integration of technical activities in architecture or engineering projects.
- Direct, review, or approve project design changes.
- Consult or negotiate with clients to prepare project specifications.
- Prepare budgets, bids, or contracts.
- Present and explain proposals, reports, or findings to clients.
- Confer with management, production, or marketing staff to discuss project specifications or procedures.
- Assess project feasibility by analyzing technology, resource needs, or market demand.
- Review, recommend, or approve contracts or cost estimates.
- Develop or implement policies, standards, or procedures for engineering and technical work.
- Plan or direct the installation, testing, operation, maintenance, or repair of facilities or equipment.
- Identify environmental threats or opportunities associated with the development and launch of new technologies.
- Establish scientific or technical goals within broad outlines provided by top management.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Design _(knowledge)_
- Engineering and Technology _(knowledge)_
- Written Comprehension _(ability)_
- Reading Comprehension _(essential_skill)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_
- Active Listening _(essential_skill)_
- Writing _(essential_skill)_
- Speaking _(essential_skill)_
- Complex Problem Solving _(transferable_skill)_
- Speech Clarity _(ability)_
- Mathematics _(knowledge)_

**Skills in demand:**
- Reading Comprehension _(Common Skill)_
- Writing _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- Active Listening _(Common Skill)_
- Mathematics _(Common Skill)_
- Time Management _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Active Learning _(Common Skill)_
- English Language _(Common Skill)_
- Visualization _(Specialized Skill)_

**Tools & technology:**
- Autodesk AutoCAD _(hot technology, in demand)_
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology, in demand)_
- Amazon DynamoDB _(hot technology)_
- Amazon Elastic Compute Cloud EC2 _(hot technology)_
- Amazon Redshift _(hot technology)_
- Amazon Web Services AWS software _(hot technology)_
- Ansible software _(hot technology)_
- Apache Cassandra _(hot technology)_
- Apache Hadoop _(hot technology)_
- Apache Hive _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 70th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 68th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 85th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 56th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 13th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 3.8% growth (About average); 14.5k annual openings; 212.5k → 220.5k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $167,740; 210,340 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 26% automation, 66% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** task iteration.

**Tasks most handed to AI here:**
- Present and explain proposals, reports, or findings to clients. _(6.4% of measured AI use; task iteration)_
- Assess project feasibility by analyzing technology, resource needs, and market demand. _(0.8% of measured AI use; directive)_
- Administer highway planning, construction, or maintenance. _(0.6% of measured AI use; task iteration)_
- Direct the engineering of water control, treatment, or distribution projects. _(0.4% of measured AI use; task iteration)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me present and explain proposals, reports, or findings to clients.
- Help me assess project feasibility by analyzing technology, resource needs, and market demand.
- Help me administer highway planning, construction, or maintenance.
- Help me direct the engineering of water control, treatment, or distribution projects.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-11-9041-00_