How do I apply for the GenAI Engineering Internship Program position at Accenture and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at Accenture paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the GenAI Engineering Internship Program role?

This position is a part-time, structured as a hybrid role, with an expected duration of 3 months.

What educational background or degree level is required for the GenAI Engineering Internship Program at Accenture?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor.

Does Accenture provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

GenAI Engineering Internship Program

Accenture

Found 1 month ago

Location

Warsaw, Poland

Duration (Months)

3 Months

Time

Part-time

Work Mode

Hybrid

Salary

Paid

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor

Skills & Qualifications

Technical Skills

Python
Git
REST APIs
Generative AI
LLMs
modern AI tools

Soft Skills

Curiosity
willingness to learn
good communication skills

Job Description

Support the team in building and develop GenAI‑based prototypes and solutions using Python Assist in creating and testing GenAI use cases such as automation, conversational analytics, information extraction, and RAG solutions Evaluate the quality of model outputs and identify errors or potential hallucinations Learn effective prompt design, model context handling, and LLM limitations Collaborate with experienced engineers and consultants on client projects Support documentation, demos, and iterative improvement of solutions

Requirements

Active student status and availability of at least 30 hours per week
Basic knowledge of Python, Git, and REST APIs
Interest in Generative AI / LLMs and familiarity with modern AI tools
First technical projects (academic, personal, or hackathon‑based)
Curiosity, willingness to learn, and good communication skills
Communicative level of English and Polish

AI & Machine Learning

AI Research

Languages

English
Polish

Nice to Haves

Basic understanding of LLMs, embeddings, and semantic search
Familiarity with concepts such as RAG, vector databases, or prompt engineering
Introductory experience with agentic frameworks (e.g. LangChain, LangGraph)
GitHub portfolio, hackathons, or other hands‑on AI / software projects
Basic knowledge of cloud platforms (Azure, AWS, or GCP)

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