What is Event-Driven Architecture and how common is it in AI job postings?

Event-Driven Architecture is a skill in the "Infrastructure & Systems" category. It currently appears in 5 active AI roles across 5 companies in our index.

Which companies are hiring for Event-Driven Architecture?

The top employers with active AI roles mentioning Event-Driven Architecture are: Northrop Grumman (1), Microsoft (1), Google (1), Fireworks AI (1), Figure AI (1).

At which stage of AI development is Event-Driven Architecture used?

Roles requiring Event-Driven Architecture are concentrated in: serving infrastructure (60%), application (20%), agents (20%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

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Event-Driven Architecture

5 active AI roles across 5 companies mention Event-Driven Architecture. Category: Infrastructure & Systems.

Top employers

Northrop Grumman1Aerospace Microsoft1Big Tech Google1Big Tech Fireworks AI1Data AI Figure AI1Robotics

Demand trend

New AI postings mentioning Event-Driven Architecture per week — 5 total over 3 weeks.

Sector

All Big Tech · 3 Robotics · 1 Data AI · 1 Aerospace · 1

Function

All Engineering · 5 Product · 1

Status

All Active only

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1 AI role requiring this skill.

Company	Title	Sector	AI score	Stage
Microsoft	Principal Product Manager - M365 Messaging	Big Tech	7	L4

Frequently asked questions

What is Event-Driven Architecture and how common is it in AI job postings?
Event-Driven Architecture is a skill in the "Infrastructure & Systems" category. It currently appears in 5 active AI roles across 5 companies in our index.
Which companies are hiring for Event-Driven Architecture?
The top employers with active AI roles mentioning Event-Driven Architecture are: Northrop Grumman (1), Microsoft (1), Google (1), Fireworks AI (1), Figure AI (1).
At which stage of AI development is Event-Driven Architecture used?
Roles requiring Event-Driven Architecture are concentrated in: serving infrastructure (60%), application (20%), agents (20%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.