Recruiting for AI Roles
How to hire when 'AI' means different things to different companies
The Problem
Almost every company now says 'AI is a priority.' Very few mean the same thing by it. Recruiters are asked to hire for 'AI engineers' with unclear scope, roles that mix data, backend, and product, positions copied from competitors without context, and job titles that don't reflect real responsibilities. And recruiters are expected to make sense of it — fast. This workshop is about recruiting for AI roles when the language is broken — and how to turn vague AI ambition into clear, recruitable hiring decisions.
What You'll Get
We'll look at AI hiring through the recruiter's lens. You'll learn how to decode AI hiring requests before you start sourcing.
This workshop is about interpreting AI-related hiring needs realistically, understanding where AI work actually lives inside teams, distinguishing real demand from copied narratives, and recruiting for capability, not buzzwords. It is NOT about AI fundamentals, ML theory, trend forecasting, or lists of 'hot AI job titles'.
- What does 'AI' actually mean in this company?
- Is this role about building, integrating, or operating AI?
- Where does responsibility really sit — data, platform, product?
- What seniority is genuinely required?
- What mistakes recruiters make when they take AI language literally
How It Works
1) Private workgroup (async, pre-session)
Before the live session, you'll join a private group to ensure the live session stays practical and grounded.
- Collect real examples of vague or confusing AI role requests
- Map common AI hiring misunderstandings recruiters face
- Align on the main categories of AI-related work recruiters encounter
- Set boundaries: what recruiters can clarify — and what they can't
2) Live session (75 minutes)
This is about making better calls earlier, not fixing problems later.
- Part 1 — Understanding AI roles in practice: where AI work usually sits inside IT teams, why many 'AI roles' are mislabelled existing roles
- How responsibilities shift before titles change
- When companies over-hire specialists too early
- Part 2 — Recruiting with clarity: how to ask clarifying questions without challenging authority
- How to identify the real hiring intent behind AI language, avoid seniority and scope mismatches, and translate AI ambition into a recruitable role profile
What You'll Walk Away With
A clearer mental model of AI-related roles recruiters actually hire for
Better instincts for interpreting vague AI hiring language
A practical way to separate hype from real capability needs
More confidence in recruiting for unfamiliar or evolving roles
Fewer false starts, fewer rewrites, fewer 'this role isn't what we thought' moments
What's Included
Replay access is provided to attendees for a limited time to keep sessions interactive and discussion-driven.
per seat
Secure checkout · Instant confirmation
You'll be invited to our online workgroup within 24 hours of registration.
About the Host
Michal Juhas
20+ years in tech, trained 50,000+ students in IT & HR, sold 5,000+ training products, with 35k+ YouTube subscribers, 33k+ LinkedIn followers, and 190+ Trustpilot reviews.
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