Workday interview questions
Big tech · 1 question reported
- junior 0
- mid 0
- senior 1
These are 1 technical questions candidates reported being asked in Workday interviews for AI engineer, ML engineer and applied AI engineer roles, each with a model answer you can say out loud in a minute or two. They cover rag: 0 junior, 0 mid-level and 1 senior questions. Every question comes from a public interview write-up that names Workday.Updated
Workday retrieval-augmented generation questions
Model answer
Stages, each tracked per document: detect type, OCR scans while keeping page and box positions with confidence, extract metadata and keywords, chunk, embed, and write to a hybrid index with access-control fields.
Each stage is idempotent, keyed by document hash and stage version, and persists its output, so a failure retries only that stage with backoff, and poison documents land in a dead-letter queue. Reprocessing is a version bump: a new OCR model reruns affected stages, then the index swaps over.
Queries: hybrid retrieval, metadata filters, a reranker. Monitor OCR confidence and search quality.
Each question comes from a public interview write-up or video that names Workday; the answers are ours. Not affiliated with Workday.