# Your Win Rate Depends On What You Can Find

**By Dan Cumberland** · Published June 19, 2026 · Categories: AI Strategy

> Architecture pay rates vary by experience, licensure, and geography— with entry-level roles starting around $55,000 and principals earning $140,000 to $200,000...

## Architecture Pay Rates by Career Stage

Architecture pay rates vary by experience, licensure, and geography— with entry\-level roles starting around $55,000 and principals earning $140,000 to $200,000 or more nationally[2](/blog/blog-architecture-pay-rate#ref-2)\.

```html-table
<table><thead><tr><th>Career Stage</th><th>Salary Range</th><th>Notes</th></tr></thead><tbody><tr><td>Entry-level (0–5 years)</td><td>$55,000–$70,000</td><td>Pre-licensure; varies by market</td></tr><tr><td>Mid-career (5–10 years, licensed)</td><td>$80,000–$110,000</td><td>Licensure milestone drives jump</td></tr><tr><td>Senior (10–15 years)</td><td>$95,000–$130,000</td><td>Project lead roles</td></tr><tr><td>Principal</td><td>$140,000–$200,000+</td><td>High-cost metros reach $310,000+</td></tr></tbody></table>
```

The American Institute of Architects 2025 Compensation & Benefits Report[3](/blog/blog-architecture-pay-rate#ref-3) tracked 13,227 positions across 817 firms— one of the most comprehensive datasets available on architectural compensation\.  Overall compensation grew at less than 3% per year between 2023 and 2025\.  Principals saw particularly stagnant growth, while specialized roles like medical planners \(\+14%\) and specifications writers \(\+11%\) outperformed\.

Geography moves these numbers significantly\.  A principal architect in San Francisco or New York can earn $180,000 to $310,000\+, while the same role in a mid\-tier city like Chicago or Dallas typically runs $150,000 to $180,000[4](/blog/blog-architecture-pay-rate#ref-4)\.  Rural markets sit lower, around $110,000 to $145,000\.  Bonuses at the principal level range from 10–25% of base; equity programs appear in about 12% of firms\.

Those are the pay rates\.  Here's how firms translate them into what they actually charge clients\.

## Billing Rate vs\. Salary: How the Math Works

Architecture firms typically bill clients at 3\.0 to 3\.5 times an employee's hourly salary rate— a multiple that covers overhead, indirect costs, and target profit\.  That ratio is called the net multiplier\.

The formula: take the annual salary, divide by 2,087 standard work hours[5](/blog/blog-architecture-pay-rate#ref-5) to get the hourly rate, then multiply by the net multiplier to arrive at what the firm bills the client\.  A project architect earning $57 per hour, for example, bills at approximately $178 per hour at a 3\.13 multiplier[5](/blog/blog-architecture-pay-rate#ref-5)\.  Simple math\.  But it depends entirely on having the right inputs\.

```html-table
<table><thead><tr><th>Component</th><th>Formula</th><th>Example</th></tr></thead><tbody><tr><td>Hourly salary rate</td><td>Annual salary ÷ 2,087 hours</td><td>$120,000 ÷ 2,087 = $57/hr</td></tr><tr><td>Client billing rate</td><td>Hourly rate × net multiplier</td><td>$57 × 3.13 = $178/hr</td></tr></tbody></table>
```

According to Deltek's Clarity A&E Study[6](/blog/blog-architecture-pay-rate#ref-6), the average net multiplier across the A&E industry is 3\.02— top\-performing firms average 3\.50\.  A healthy profit requires at least 2\.75\.  Average overhead rates run around 162%[7](/blog/blog-architecture-pay-rate#ref-7), with a desirable range of 150–175%\.  And 67% of A&E firms use hourly billing as their primary pricing mechanism[8](/blog/blog-architecture-pay-rate#ref-8)\.  In practical terms: if your multiplier is below 2\.75, your overhead is eating your margin before a project has any surprises\.  If it's above 3\.5, your rates may not have been benchmarked recently\.

The Zweig Group[9](/blog/blog-architecture-pay-rate#ref-9) found that every AEC firm surveyed raised fees, averaging 10% over the past three years\.  Are you raising based on market data, or just because it felt like time?

The math is straightforward\.  What isn't straightforward is what happens when you sit down to price a proposal and need to know whether those numbers were accurate on your last similar job\.

## Where AEC Firms Actually Stand on Win Rate

Architecture and engineering firms win roughly 40 to 50 percent of the proposals they submit— and 71% of firms report new\-client win rates in the 25–49% range[10](/blog/blog-architecture-pay-rate#ref-10)\.

```html-table
<table><thead><tr><th>Discipline</th><th>Average Win Rate</th></tr></thead><tbody><tr><td>Engineering</td><td>44.2%</td></tr><tr><td>Architecture</td><td>~40%</td></tr><tr><td>Construction</td><td>37.9%</td></tr></tbody></table>
```

The SMPS Foundation surveyed 303 U\.S\.\-based AEC firms[11](/blog/blog-architecture-pay-rate#ref-11) and found this range consistent across disciplines\.  Unanet's 2025 AEC Inspire Report[12](/blog/blog-architecture-pay-rate#ref-12) puts the overall figure closer to 50%\.  Either way, only 21% of AEC firms achieve win rates above 50% on new clients[10](/blog/blog-architecture-pay-rate#ref-10)\.

The part that should concern you: 10 to 19% of incoming RFPs go unanswered altogether[10](/blog/blog-architecture-pay-rate#ref-10) due to capacity constraints\.  That's not a losing bet— that's not playing\.  And only 40% of firms use a formal go/no\-go decision process[12](/blog/blog-architecture-pay-rate#ref-12) to evaluate which proposals to pursue\.  That means 60% are running pursuit decisions on gut\.

Gut feel at a 40% win rate means your instincts are wrong more often than they're right\.

The firms above 50% aren't doing architecturally better work\.  They're faster at finding the right information\.  Which brings up the question most firm owners don't want to answer: how quickly can your team pull actual billing rates, by role and project type, from the past three years?

## Most Firms Have the Data\.  They Just Can't Find It\.

Most architecture firms that have been in business for more than a few years already have the data they need to price more accurately\.  The problem isn't that the data doesn't exist\.  Monograph's fee estimating research[8](/blog/blog-architecture-pay-rate#ref-8) states it plainly: "most firms that have been in business for more than a few years have this data, but very few have organized it in a way that informs the next proposal\."

That's the real problem\.  Not a missing dataset— an unorganized one\.

Consider what a typical RFP response actually looks like\.  Average team size: 11 to 20 contributors\.  Typical timeline: 6 to 10 working days[10](/blog/blog-architecture-pay-rate#ref-10)\.  Proposal teams spend an average of 33 hours per response— and most of that time goes to searching for data, not writing the proposal— per research documented in our guide to [building an AEC master project list](https://dancumberlandlabs.com/blog/master-in-engineering-project-management/)\.  46% of proposal teams report that locating and managing content during an active RFP is one of their top challenges[10](/blog/blog-architecture-pay-rate#ref-10)\.

Why can't firms find their own data?  Three reasons come up consistently:

1. **No capture protocol\.** There's no standard procedure for recording what actually happened at project close\.
2. **Data in the wrong format\.** Fee history lives in invoices and timesheets— not structured in a way that maps to future proposals\.
3. **The person who knew it left\.** More on that next\.

One engineering firm that analyzed 20 past projects using project accounting software found services they'd been systematically underpricing— and corrected them\.  The result: a 9% margin increase without losing a single client[13](/blog/blog-architecture-pay-rate#ref-13)\.  The data existed all along\.

The firms that can't find their own fee data aren't disorganized\.  They just trusted the wrong storage system\.

## Your Project History Is Leaving — One Retirement at a Time

The average AEC employee now stays at a firm for 4\.9 years— down from 7 years a decade ago[14](/blog/blog-architecture-pay-rate#ref-14)\.  That means the principal who priced your last healthcare renovation may not be around when the next one comes in\.

This is [the memory problem in AEC project management](https://dancumberlandlabs.com/blog/aec-project-management/) stated plainly: the real project management system at most firms isn't the software on the server\.  It's a person\.

What walks out the door with them:

- **Fee history by project type** — what was proposed vs\. what was actually spent on schematic design \(SD\), design development \(DD\), construction documents \(CDs\), and construction administration \(CA\)
- **Actual vs\. budgeted hours by phase** — the most accurate pricing data in the firm, and the least documented
- **Client relationship context** — who the real decision\-makers are, what they actually weight in selection, where the last negotiation ended

About 42% of institutional knowledge in AEC firms remains individual\-specific and undocumented\.  By 2030, an estimated 40% of the construction workforce will have retired— per AGC and industry research cited in our [master project list guide](https://dancumberlandlabs.com/blog/master-in-engineering-project-management/)\.

Tacit knowledge— fee instincts, risk intuition, the "we always add 15% contingency on government interiors" judgment built over 20 years— rarely transfers\.  It retires\.

The fix isn't complicated\.  But it requires building the habit before you need it\.

## The Project Close Checklist You're Probably Skipping

The data that improves your next proposal already exists in every project you finish\.  The question is whether you capture it before everyone moves on\.

Here's what to record at substantial completion or invoice close\-out:

1. **Actual vs\. budgeted labor hours by phase** — schematic design \(SD\), design development \(DD\), construction documents \(CDs\), and construction administration \(CA\) broken out separately
2. **Billing rates used by role** on this specific project
3. **Project type, size, and client sector** — these predict how comparable the next project will be
4. **What was proposed vs\. what was spent** — the gap is where your pricing accuracy data lives
5. **Win/loss outcome and primary reason** — if you debriefed the client, record it here

Firms that mature their RFP and proposal workflows see up to 16% better win rates[15](/blog/blog-architecture-pay-rate#ref-15)\.  And it starts with what you record at project close— not what software you buy\.

Don't overcomplicate the system\.  A shared spreadsheet with a defined schema beats a perfect platform that never gets implemented\.  The Zweig Group tracks billing rates across 33 employee levels in their annual Fee and Billing Report[9](/blog/blog-architecture-pay-rate#ref-9)— that's a benchmark you can check your captured data against annually\.  For a practical structure to organize what you collect, see our guide on [building an AEC master project list](https://dancumberlandlabs.com/blog/master-in-engineering-project-management/)\.

There's a floor to this: AI makes data capture faster and more useful— but only if the data is already there\.

## AI Doesn't Fix a Data Problem\.  It Accelerates One\.

53% of A&E firms now use AI tools— up from 38% the prior year\.  Most are discovering the same thing: AI is only as useful as the data it has to work with\.

AI applied to a disorganized project archive doesn't solve the problem\.  It accelerates it\.  An AI that can surface "we priced a similar K\-12 renovation at $185/hour in 2022 and came in 11% under budget" is a real competitive tool\.  An AI searching unstructured email threads and PDFs is just burning compute on noise\.

The firms winning with AI in proposal development built data capture habits first\.  The tool comes after the system\.  And once the system is there, the range of what's possible expands fast— firms surfacing decade\-old fee history in seconds, flagging underpriced service lines before the next RFP goes out, building pattern libraries from past project performance that a new principal can actually use\.

If you're working through how to build that foundation— project history capture, fee data organization, AI integration for proposal workflows— that's exactly what our [AI implementation services for AEC firms](/services/ai-implementation) are designed to support\.  Once the system exists, [tracking where you stand](/blog/measuring-ai-success) gives you something to measure against\.  Not selling a tool\.  Building the system the tool needs to actually work\.

The architecture pay rate question is easy\.  The harder question is what you can actually find when the next proposal is due\.

## FAQ

### What is the average architecture pay rate?

The median annual salary for architects in the United States was $96,690 in 2024, according to the Bureau of Labor Statistics[1](/blog/blog-architecture-pay-rate#ref-1)\.  Entry\-level roles start around $55,000–$70,000; principals earn $140,000–$200,000\+ nationally, with top\-tier metro areas reaching $310,000\+[4](/blog/blog-architecture-pay-rate#ref-4)\.  Overall compensation grew at less than 3% annually between 2023 and 2025[3](/blog/blog-architecture-pay-rate#ref-3)\.

### How do architecture firms calculate billing rates?

Firms divide the annual salary by 2,087 standard work hours to get an hourly rate, then multiply by a net multiplier to arrive at the client billing rate[5](/blog/blog-architecture-pay-rate#ref-5)\.  The average A&E industry net multiplier is 3\.02, with top\-performing firms averaging 3\.50[6](/blog/blog-architecture-pay-rate#ref-6)\.  At a 3\.13 multiplier, a $57/hour project architect bills at approximately $178/hour\.

### What is a good win rate for an architecture firm?

Industry\-wide, architecture firms win roughly 40–50% of proposals submitted\.  Engineering firms perform best at 44\.2%, construction firms average 37\.9%, per SMPS Foundation research on 303 U\.S\.\-based AEC firms[11](/blog/blog-architecture-pay-rate#ref-11)\.  Only 21% of AEC firms achieve win rates above 50% on new clients[10](/blog/blog-architecture-pay-rate#ref-10)\.

### Why do architecture firms lose proposals?

Most lose not because of weaker work, but because of weaker preparation\.  60% of firms make pursuit decisions without a formal go/no\-go process[12](/blog/blog-architecture-pay-rate#ref-12), and 46% struggle to surface relevant past project experience during the RFP timeline[10](/blog/blog-architecture-pay-rate#ref-10)\.  The firms that win more consistently aren't better architects— they're better at finding the right information faster\.

### How much does a principal architect charge per hour?

Principal billing rates typically range from $175 to $250 per hour, with higher rates in major metro markets\.  The salary range for principals is $140,000–$200,000\+ nationally[4](/blog/blog-architecture-pay-rate#ref-4), and firms bill at roughly 3–3\.5x the hourly salary rate[6](/blog/blog-architecture-pay-rate#ref-6)\.  In high\-cost markets, principal billing rates can exceed $300/hour\.

## References

1. U\.S\. Bureau of Labor Statistics, "Architects: Occupational Outlook Handbook" \(2024\) — [https://www\.bls\.gov/ooh/architecture\-and\-engineering/architects\.htm](https://www.bls.gov/ooh/architecture-and-engineering/architects.htm)
2. ArchitectureCourses\.org, "Architect Salary in the United States: What Changes the Pay" \(2025\) — [https://architecturecourses\.org/learn/architect\-salary\-united\-states](https://architecturecourses.org/learn/architect-salary-united-states)
3. American Institute of Architects, "AIA Compensation & Benefits Report 2025" \(2025\) — [https://www\.aia\.org/resource\-center/aia\-compensation\-benefits\-report](https://www.aia.org/resource-center/aia-compensation-benefits-report)
4. Monograph, "Architecture Principal Salary: 2025 Rates & Location Trends" \(2025\) — [https://monograph\.com/blog/architecture\-principal\-salary\-2025](https://monograph.com/blog/architecture-principal-salary-2025)
5. Monograph, "6 Steps to Calculate Hourly Billing Rate for Architects" \(2024\) — [https://monograph\.com/blog/how\-to\-calculate\-hourly\-billing\-rate\-for\-architects](https://monograph.com/blog/how-to-calculate-hourly-billing-rate-for-architects)
6. Deltek, "KPIs for Architects" \(2024\) — [https://www\.deltek\.com/en/architecture\-and\-engineering/architecture\-project\-management/kpis\-for\-architects](https://www.deltek.com/en/architecture-and-engineering/architecture-project-management/kpis-for-architects)
7. Hyperfine Architecture \(citing Deltek Clarity A&E Study\), "Overhead Rate and Break\-Even Rate" \(2024\) — [https://hyperfinearchitecture\.com/are\-5\-0\-overhead\-rate\-break\-even\-rate/](https://hyperfinearchitecture.com/are-5-0-overhead-rate-break-even-rate/)
8. Monograph, "Architectural & Engineering Fee Estimating Guidelines" \(2024\) — [https://monograph\.com/blog/architectural\-engineering\-fee\-estimating\-guidelines](https://monograph.com/blog/architectural-engineering-fee-estimating-guidelines)
9. Zweig Group, "Fee and Billing Trends" \(2024\) — [https://zweiglist\.com/fee\-and\-billing\-trends/](https://zweiglist.com/fee-and-billing-trends/)
10. Stargazy, "4 Numbers Every AEC Proposal Leader Should Know in 2026" \(2026\) — [https://stargazy\.io/resources/4\-numbers\-every\-aec\-proposal\-leader\-should\-know\-in\-2026](https://stargazy.io/resources/4-numbers-every-aec-proposal-leader-should-know-in-2026)
11. SMPS Foundation \(via Building Design \+ Construction\), "How Does Your Firm's Hit Rate Stack Up to the AEC Competition?" \(2023\) — [https://www\.bdcnetwork\.com/how\-does\-your\-firms\-hit\-rate\-stack\-aec\-competition](https://www.bdcnetwork.com/how-does-your-firms-hit-rate-stack-aec-competition)
12. Unanet, "Half the Battle: Why AEC Firms Are Only Winning 50% of Bids" \(2025\) — [https://unanet\.com/blog/half\-the\-battle\-why\-aec\-firms\-are\-only\-winning\-50\-of\-bids](https://unanet.com/blog/half-the-battle-why-aec-firms-are-only-winning-50-of-bids)
13. SPRCHRGR, "Strategic Pricing for A&E Firms: Combat Rising Costs with Data\-Driven Fee Structures" \(2024\) — [https://sprchrgr\.com/resources/strategic\-pricing\-for\-ae\-firms\-combat\-rising\-costs\-with\-data\-driven\-fee\-structures](https://sprchrgr.com/resources/strategic-pricing-for-ae-firms-combat-rising-costs-with-data-driven-fee-structures)
14. Unanet, "The 2025 AEC Inspire Report: Key Insights and Strategic Takeaways" \(2025\) — [https://unanet\.com/blog/a\-comprehensive\-look\-at\-the\-2025\-aec\-inspire\-report\-key\-insights\-and\-strategic\-takeaways](https://unanet.com/blog/a-comprehensive-look-at-the-2025-aec-inspire-report-key-insights-and-strategic-takeaways)
15. Hitachi Solutions, "Transforming AEC Proposals: CRM's Role in Analytics, Benchmarking, and AI Insights" \(2024\) — [https://global\.hitachi\-solutions\.com/blog/aec\-crm\-proposal\-optimization/](https://global.hitachi-solutions.com/blog/aec-crm-proposal-optimization/)


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Source: https://dancumberlandlabs.com/blog/architecture-pay-rate/
