Which companies make architecture for AI data centers?

This catalog lists 30 companies on Architecture, engineering & MEP design, 8 of them with listed equity: AECOM, AtkinsRéalis, Fluor, Jacobs, Stantec, Sweco, Tetra Tech, WSP, Arup, Bechtel, and 20 more.

How reliable are these architecture, engineering & MEP design supplier placements?

The 30 placements on this part break down as 30 inferred. "disclosed" means the company or a filing says so; "reported" comes from trade press or a reference-design list; "inferred" is a taxonomy lead with no citation yet.

9.03

Who makes architecture for AI data centers

Architecture and engineering firms that design a data center's building envelope and its mechanical, electrical, and plumbing (MEP) systems before construction begins.

This is the design layer that sits between the developer/tenant (9.01, 9.02) and the general contractors (9.04) who build to the design. Architecture covers the shell and site layout; MEP engineering specifies the power distribution, cooling, and plumbing systems that Layers 5 through 8 of this taxonomy physically supply, translating a target IT load and density into drawings a contractor can build from and equipment vendors can quote against. AI campuses have compressed design timelines even as the systems being designed have gotten more complex — liquid cooling loops, higher-voltage electrical distribution, and larger single-site power capacities all require MEP engineering that a decade of enterprise-colocation templates didn't anticipate. Firms that have built repeatable, pre-engineered designs for hyperscale and AI-campus MEP can turn projects faster than those still customizing each site from scratch, which is the main differentiator investors watching this space should track — that and the engineering labor capacity to staff a larger pipeline of concurrent projects at all.

AI delta: AI campuses require MEP designs for higher-voltage electrical distribution and liquid cooling loops that a decade of enterprise-colocation templates didn't anticipate.

Appears at:Enterprise / small colo Large colo / hyperscale building AI campus GW-class campus· cooling:any — Engaged on essentially every purpose-built data center above the smallest edge deployments; the scope of work (and the premium commanded by firms with AI-campus experience) grows with scale and with liquid-cooling complexity.

Companies on this part (30)

Show:

Company	Role	Ownership	Ticker	Price	1d	Confidence	Note
AECOM	designer	public	ACM	60.49 USD	+1.0%	inferred
AtkinsRéalis	designer	public	ATRL.TO	85.22 CAD	-1.4%	inferred
Fluor	designer	public	FLR	44.05 USD	+1.5%	inferred
Jacobs	designer	public	J	145 USD	-1.8%	inferred
Stantec	designer	public	STN	71.11 USD	-2.3%	inferred
Sweco	designer	public	SWEC-B.ST	138 SEK	+1.0%	inferred
Tetra Tech	designer	public	TTEK	36.98 USD	+0.5%	inferred
WSP	designer	public	WSP.TO	184 CAD	+0.6%	inferred
Arup	designer	private				inferred
Bechtel	designer	private				inferred
Black & Veatch	designer	private				inferred
Burns & McDonnell	designer	private				inferred
Buro Happold	designer	private				inferred
Corgan	designer	private				inferred
Cundall	designer	private				inferred
Deerns	designer	private				inferred
Exyte	designer	private				inferred
Gensler	designer	private				inferred
HDR	designer	private				inferred
kW Mission Critical	designer	private				inferred
M Moser	designer	private				inferred
Mott MacDonald	designer	private				inferred
NV5	designer	unknown				inferred	Acuren
Page	designer	private				inferred
Ramboll	designer	private				inferred
Salas O'Brien	designer	private				inferred
Sargent & Lundy	designer	private				inferred
Sheehan Nagle Hartray	designer	private				inferred
Syska Hennessy	designer	private				inferred
Ware Malcomb	designer	private				inferred

Who competes here

The same table read the other way: every company above competes for architecture, engineering & MEP design sockets. Confidence tags matter — an inferred placement is a lead, not a confirmed rivalry.

Nearby parts

Previous in layer: Hyperscalers, neoclouds & model labs
Next in layer: General contractors & design-build
Layer: Layer 9 — Building shell, site & construction

From the blog

The further you get from the chip, the less of the supply chain is listed 2026-09-02

Latest feed

[AI Infrastructure Insight] How AI infrastructure will be designed for the future — newsroom:sk-hynix, 2026-10-22
The article discusses future data center designs for AI infrastructure, touching on cooling, power, and overall planning.
Memphis councilors reject 18-month data center moratorium — Data Center Dynamics, 2026-10-21
The Memphis councilors rejected an 18-month moratorium on data centers and instead implemented a 135-day ban on new projects.
Sponsored: From power to AI readiness: The architecture decisions behind TeraWulf’s AI and high-performance computing campus — Data Center Dynamics, 2026-10-21
The article discusses the architectural decisions made for TeraWulf's AI and high-performance computing campus, emphasizing that securing power is just the initial step.
Canada puts out Advanced Procurement Notice for data center in Ontario — Data Center Dynamics, 2026-10-19
Canada issued an advanced procurement notice for a data center facility in Ontario with an estimated cost range of CA$1.5bn to $1.85bn.
400MW data center eyed at old Navy cyber site in San Diego, California — Data Center Dynamics, 2026-10-19
Manchester Financial Group is considering developing a 400MW data center at the former Navy cyber site in San Diego.
Anthropic named as customer of EverWind's data center project in Nova Scotia — Data Center Dynamics, 2026-10-19
Anthropic will be a customer for a data center project by EverWind in Nova Scotia which is currently in the pre-construction phase.
Google explores data center site in Roanoke County, Virginia — Data Center Dynamics, 2026-10-19
Google is evaluating the Wood Haven Technology Park in Roanoke County, Virginia, as a potential location for a new data center project.
Sponsored: Data center siting in the AI era: A smarter approach to environmental and community impact — Data Center Dynamics, 2026-10-19
The article discusses the importance of thoughtful site selection for data centers impacted by AI growth, focusing on environmental and community considerations.
AIDC white paper flags energy efficiency, power management as key to site selection — DigiTimes, 2026-10-16
A white paper from AIDC highlighted energy efficiency and power management as crucial factors influencing data center site selection.
Infrastructure Highlights from OCP Global Summit — HPCwire, 2026-10-15
The OCP Global Summit provided updates covering the entire physical infrastructure scope of data center development.

Questions about architecture, engineering & MEP design

What is architecture, engineering & MEP design?: Architecture and engineering firms that design a data center's building envelope and its mechanical, electrical, and plumbing (MEP) systems before construction begins.
Which companies make architecture for AI data centers?: This catalog lists 30 companies on Architecture, engineering & MEP design, 8 of them with listed equity: AECOM, AtkinsRéalis, Fluor, Jacobs, Stantec, Sweco, Tetra Tech, WSP, Arup, Bechtel, and 20 more.
How does AI change demand for architecture, engineering & MEP design?: AI campuses require MEP designs for higher-voltage electrical distribution and liquid cooling loops that a decade of enterprise-colocation templates didn't anticipate.
How reliable are these architecture, engineering & MEP design supplier placements?: The 30 placements on this part break down as 30 inferred. "disclosed" means the company or a filing says so; "reported" comes from trade press or a reference-design list; "inferred" is a taxonomy lead with no citation yet.

Sources: placements without a source URL come from the taxonomy seed and are tagged accordingly. How this data is built.· Markdown · JSON