Accenture
Consulting giant with a large data-science and GenAI practice in India
Interview in a few hours? A quick sprint for Accenture
AI in interviews
You may use AI to research the company, polish your resume and rehearse, but not to generate answers in interviews (voice cloning and deepfakes are also banned). External AI tools are not allowed in technical assessments; some coding questions include a built-in AI assistant you may choose to use.
Typical interview loop
How Accenture usually runs it for applied AI and LLM engineer roles.
- Focus: Profile and role fit
Application review
Recruiters check how your profile fits the role and contact you to schedule interviews if you're selected.
- Focus: Role-specific expertise, presence
Skills interview
After screening, a phone, video or in-person conversation where you show the experience the role needs and how you'd add value.
- Focus: Problem solving, applied coding
Online technical assessment
For some roles, a 30-90 minute online test in one sitting, including coding-environment problems, scored against a threshold.
- Focus: Final hiring decision
Offer
Selected candidates receive an offer; failing the assessment means a 90-day wait before retaking it.
Topics to prepare for Accenture
The topics its loop weighs most, each with what interviewers check and what to study.
- Behavioral interviews: STAR stories for AI engineersBehavioral
- The project deep-dive roundBehavioral
- Story bankBehavioral
- Interview openers and closersBehavioral
- Retrieval for RAG: chunking, hybrid search, rerankingRAG
- Embeddings and vector searchRAG
- Evaluating RAG: retrieval metrics and faithfulnessRAG
- Tool use and function callingAgents
How it weights your plan
Selecting Accenture when you build a plan multiplies each topic’s priority score:
Official prep and resources
Public candidate write-ups
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