EY AI Engineer interview typically runs 3 rounds: HR screen, manager interview, technical interview. It usually takes 2-4 weeks and is conversational, with a strong focus on fit and experience.
$148K
Avg. Base Comp
$208K
Avg. Total Comp
3-4
Typical Rounds
2-4 weeks
Process Length
Our candidates report that EY is looking for people who can connect AI concepts to real client work, not just recite frameworks. The strongest signal across experiences is clear, grounded explanation of your own background: one interviewer spent most of the conversation walking through the CV in detail, while another focused on how the candidate had handled software architecture and agentic AI in customer-facing settings. That tells us EY is checking for fit against the role spec as much as technical fluency, especially for more senior AI positions.
A recurring theme is the emphasis on applied AI tradeoffs. One candidate described a technical discussion centered on AI, cloud, and especially RAG, including comparisons between simpler and more complex implementations and the reasoning behind each choice. Even the lighter technical probing included fundamentals like singleton patterns, which suggests EY wants candidates who can move comfortably between modern AI systems and basic engineering concepts. The process feels less adversarial than many consulting interviews; multiple candidates noted that interviewers helped them reason through answers rather than trying to trap them.
We also see a very EY-specific pattern: the interview can feel straightforward, but the real surprise may come outside the technical conversation. One candidate said the compensation discussion was dramatically below expectations for the level, so it’s worth aligning on scope and pay early. In practice, EY seems to value candidates who are credible, client-ready, and technically solid — especially those who can explain why a solution is the right one, not just how to build it.
Synthetized from 2 candidates reports by our editorial team.
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Featured question at Ey
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Synthesized from candidate reports. Individual experiences may vary.
An initial conversation with HR or a recruiter focused on introductions, your background, and basic fit for the role. In one experience, the recruiter led most of the discussion while the candidate gave a concise overview of their experience; in another, HR later handled salary and compensation expectations.
A deeper interview with a manager or senior manager that reviews your CV and past projects in detail. The discussion centers on your software, AI, and client-facing experience, and whether your background matches the job requirements.
A more technical round with a manager that covers AI and cloud topics, with a strong focus on RAG. Candidates were asked to compare simple versus more complex RAG approaches, discuss tradeoffs between techniques, and explain foundational programming concepts such as singleton.
If you progress to the final stage, HR may discuss salary and compensation details before an offer is finalized. One candidate noted that this conversation was the point where expectations needed to be clarified early, as the compensation discussed was significantly lower than expected.