Electronic Arts (EA) is offering a Data and AI Engineering Intern opportunity in Hyderabad, Telangana, for students interested in data engineering, artificial intelligence, Generative AI, and modern cloud technologies.
The Data and AI Engineer Internship is part of EA’s Data and Analytics team. Interns will work alongside data engineers, architects, and analysts to build AI-assisted data solutions using technologies such as Python, SQL, Large Language Models (LLMs), and cloud data platforms.
This internship is particularly relevant for students pursuing Data Science, Artificial Intelligence, Engineering, or related fields who want practical exposure to the growing intersection of AI and data engineering.
Data and AI Engineer Internship โ Job Overview
| Job Information | Details |
|---|---|
| Company | Electronic Arts (EA) |
| Role | Data and AI Engineering Intern |
| Focus Keyword | Data and AI Engineer Internship |
| Location | Hyderabad, Telangana, India |
| Work Model | Hybrid |
| Worker Type | Intern โ Temporary Employee |
| Role ID | 215934 |
| Department | Data and Analytics |
| Education | Bachelor’s Degree โ Pursuing |
| Key Skills | Python, SQL, AI, Data Engineering |
| Experience | Internship / Student Role |
About the Data and AI Engineer Internship
The Data and AI Engineer Internship focuses on using Generative AI and agentic engineering techniques to solve modern data engineering and analytics problems.
As an intern, you will work with experienced technical professionals and explore how AI can improve traditional data workflows.
Some of the areas you may work on include:
- Data ingestion and transformation
- Data validation
- Data-quality automation
- ETL/ELT pipelines
- AI-assisted analytics
- Generative AI
- LLM applications
- Agentic workflows
- Technical documentation
- Pipeline monitoring
- Anomaly investigation
The role also emphasizes human oversight, responsible AI, security, governance, and data quality, making it more than just an LLM experimentation internship.
What Will You Do as a Data and AI Engineering Intern?
1. Build Python and SQL Solutions
Python and SQL are two of the most important technologies for this internship.
Interns will develop solutions for:
- Data ingestion
- Data transformation
- Data validation
- Data analysis
A strong foundation in Python programming and SQL is therefore essential.
2. Work With Generative AI and LLMs
A major highlight of this Data and AI Engineer Internship is its focus on Generative AI.
You may build prototypes using:
- Large Language Models
- Prompt engineering
- Retrieval-Augmented Generation (RAG)
- Embeddings
- Vector search
- Tool calling
- Agentic workflows
The goal is to explore practical ways AI agents can assist with real data engineering tasks.
3. Build AI-Assisted Data Solutions
The internship involves investigating how AI agents can interpret requirements, generate and validate code, automate data-quality checks, create technical documentation, and investigate anomalies.
This gives interns exposure to the practical use of AI rather than focusing only on theoretical machine learning concepts.
4. Work on ETL/ELT Pipelines
Interns may assist with scalable data pipelines and data products.
The work can include:
- ETL/ELT
- Data models
- APIs
- Reusable data products
- Pipeline monitoring
Understanding how data moves from source systems to analytics platforms will be useful.
5. Testing and Data Quality
Data engineering requires reliable and accurate information.
The Data and AI Engineer Internship includes exposure to testing, data-quality practices, security, governance, and responsible AI.
This is particularly important when AI-generated outputs or automated data processes are involved.
6. Collaborate With Teams
Interns will work with technical and business teams and may be expected to present:
- Findings
- Prototypes
- Recommendations
- Technical approaches
Good communication skills will therefore complement the technical requirements.
Eligibility Criteria
Candidates applying for this Data and AI Engineer Internship should be pursuing a bachelor’s degree in:
- Data Science
- Artificial Intelligence
- Engineering
- Related technical fields
The job description does not mention a specific graduation year.
Candidates should also have strong fundamentals in:
- Python
- SQL
- Programming
- Problem-solving
Required Technical Skills
Python
Strong Python fundamentals are required. Candidates should understand functions, data structures, modules, error handling, and basic object-oriented programming.
SQL
SQL is another core requirement. Candidates should be comfortable querying and manipulating data stored in databases.
Databases
A basic understanding of databases and data structures is expected.
Data Pipelines
Candidates should understand the basic purpose of data pipelines and how data is collected, transformed, validated, and delivered for analysis.
APIs
Basic API knowledge is useful because modern data and AI systems often communicate through APIs.
Generative AI
Candidates should have a basic understanding of Generative AI and Large Language Models.
What Is Agentic AI in This Internship?
One of the most interesting aspects of the Data and AI Engineer Internship is the focus on agentic engineering.
Instead of using an LLM only to generate text, AI agents can be designed to perform multiple steps using tools and external data.
For example, an AI-assisted data engineering workflow could potentially:
- Understand a data requirement.
- Generate a preliminary solution.
- Validate the generated code.
- Run data-quality checks.
- Investigate anomalies.
- Produce documentation.
- Escalate uncertain results for human review.
The internship provides an opportunity to explore these kinds of workflows with appropriate human oversight.
Is This Data and AI Engineer Internship Suitable for Students?
Yes.
The position is explicitly an internship, and candidates are expected to be pursuing a bachelor’s degree in Data Science, Artificial Intelligence, Engineering, or a related field.
This makes the Data and AI Engineer Internship particularly suitable for students who want to gain professional experience before graduation.
The JD does not specify a particular year of study or graduation batch, so students should verify any additional application requirements on the official listing.
About Electronic Arts
Electronic Arts is a global entertainment company known for creating games and interactive experiences for players around the world.
EA emphasizes creativity, curiosity, adaptability, resilience, learning, and experimentation.
The company also describes its benefits approach as covering areas such as physical, emotional, financial, career, and community wellness, with offerings varying by location.
Why Consider This Internship?
The Data and AI Engineer Internship combines several rapidly growing areas of technology.
Interns can potentially gain exposure to:
- Data Engineering
- Artificial Intelligence
- Generative AI
- LLMs
- Agentic AI
- Cloud Data Platforms
- ETL/ELT
- Data Quality
- APIs
- Machine Learning
- Software Development
For students interested in building a career around AI Engineering or Data Engineering, this combination can be particularly valuable.
Important Details
| Particular | Information |
|---|---|
| Role | Data and AI Engineering Intern |
| Company | Electronic Arts |
| Location | Hyderabad, Telangana |
| Work Model | Hybrid |
| Worker Type | Intern โ Temporary Employee |
| Role ID | 215934 |
| Education | Bachelor’s Degree โ Pursuing |
| Eligible Fields | Data Science, AI, Engineering or Related |
| Core Skills | Python, SQL, Programming |
| AI Skills | LLMs, Prompt Engineering, RAG, Agentic Workflows |
| Preferred Tools | Snowflake, Databricks, Spark, dbt, Airflow |
| ML Advantage | scikit-learn, PyTorch, TensorFlow |
Final Words
The Data and AI Engineer Internship at Electronic Arts is an exciting opportunity for students who want to explore the intersection of data engineering, Generative AI, and modern software development.
The role goes beyond basic data analysis by introducing interns to LLMs, RAG, vector search, AI agents, automated data-quality checks, ETL/ELT pipelines, APIs, and cloud data platforms.
If you are pursuing Data Science, Artificial Intelligence, Engineering, or a related degree and have strong Python and SQL fundamentals, building a few practical AI and data projects can help you prepare for this opportunity.
For students looking to enter the rapidly evolving field of Data and AI Engineering, this internship can provide valuable exposure to technologies that are increasingly being used to build intelligent and automated data solutions.
