---
title: "Which AI jobs are in demand?"
description: "**Canonical URL:** https://jobspipe.dev/answers/which-ai-jobs-are-in-demand"
canonical: https://jobspipe.dev/answers/which-ai-jobs-are-in-demand
last_updated: 2026-09-10
---

# Which AI jobs are in demand?

> The AI jobs employers post for fall into a few families: machine learning engineers who train and ship models, applied scientists and research engineers, data engineers who build the pipelines models depend on, AI product managers, and a newer group of prompt, agent and integration engineers who wire models into products. The titles overlap heavily.

**Canonical URL:** https://jobspipe.dev/answers/which-ai-jobs-are-in-demand
**Topic:** Job market data (https://jobspipe.dev/pulse)

The chart below shows the skills named most often in engineering postings across the ten collected boards. It is dominated by generic tags and by the cloud, delivery and language skills every engineering team asks for, and an explicit artificial-intelligence tag appears in only a minority of engineering postings, below the group shown. That is the honest reading: AI work is a slice of engineering hiring rather than the bulk of it, and much of it is written into ordinary software postings that mention a model API alongside Python and AWS rather than into roles titled AI engineer.

To measure the families directly, call POST /v1/jobs/search with job_title_or set to machine learning engineer, applied scientist, AI engineer, data engineer and AI product manager, and compare each against the unfiltered count for a share. To catch AI work hidden under other titles, use skills_or with slugs such as artificial-intelligence, openai, langchain or pytorch, and read technology_slugs on each returned row to see which model providers and frameworks the posting names. The Labour Market Pulse publishes the share of postings mentioning AI tooling per occupation and the gap in median advertised pay between AI and non-AI roles.

For a candidate, the families differ in what they require. Machine learning engineer and applied scientist postings ask for modeling depth, usually with Python and a training framework; data engineer postings ask for SQL, pipelines and a cloud platform; agent and integration roles ask for ordinary backend skills plus familiarity with a model API. For a vendor selling AI infrastructure, a company's first posting in any of these families is a hiring signal that it is standing up the capability, and several such postings open at once is the rarer, stronger pattern.

## Related questions

### What is the most in demand AI job?

There is no clean ranking, because employers label the same work differently and the titles overlap. Machine learning engineer is the most established title, data engineer is the family most often hired alongside it, and agent and integration roles are the newest. The defensible answer is a query by job_title_or against the current corpus rather than a league table.

### Are AI skills in demand outside engineering?

Not measurably in the skills data. Outside the Engineering function, no AI tool or framework slug reaches the published skill list for any function, which means the share is below the last skill shown rather than zero. The Pulse tracks the share of postings mentioning AI tooling per occupation, which is the better place to look for AI demand in non-engineering roles.

### Do AI jobs pay more?

The Labour Market Pulse publishes the gap in median advertised pay between postings that mention AI tooling and those that do not, per occupation, computed only from postings that state pay and with the sample size behind each row. Read the current snapshot for the figure; it is a cross-section of advertised pay, not a measure of what people in those roles earn.

### How do I find companies hiring for AI roles right now?

Call POST /v1/jobs/search with skills_or set to artificial-intelligence or a provider slug, status set to active and discovered_at_gte set to the start of the window, then group the rows by the company field. The search_jobs tool on the MCP server at mcp.jobspipe.dev runs the same query for an agent, and the Signals product delivers new matches on a schedule.

## More answers

- [Are data analysts in demand?](https://jobspipe.dev/answers/are-data-analysts-in-demand)
- [What are the most in demand jobs?](https://jobspipe.dev/answers/what-are-the-most-in-demand-jobs)
- [Are tech companies hiring?](https://jobspipe.dev/answers/are-tech-companies-hiring)

Data behind these answers is published as shares only; every figure can be reproduced against the JobsPipe API (https://jobspipe.dev/jobs-api).

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