Infosys
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Noida · On-site · 17 hours ago
Information Technology Support Services · 10000+ Employees · Bengaluru, India
Infosys is a global leader in next-generation digital services and consulting. Over 300,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace. Visit www.infosys.com to see how Infosys (NSE, BSE, NYSE: INFY) can help your enterprise navigate your next. Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.
Hiring: Engineering
What employees say
+ they are asking to do 1 question out of 2 by making the candidates login in their wingspan , mostly focused on asking dp , sliding , kadane
− Difficulty level varies progressively , but overall it is a medium to hard interview
More reviews on the company profile.
Interview experience · Dse
DSA , SQL, OOPS and DBMS was aksed but the questions was of easy to medium level, I performed very bad, so I got rejected but my friends who performed average got selected.
Average difficulty · India · 18,428 reports
More interview insightsJob description
Overview
• We are seeking a highly skilled AI Data Engineer to design build and optimize scalable AI ML data platforms and pipelines supporting Generative AI Large Language Models LLMs and advanced analytics solutions • The ideal candidate will have hands on experience with Databricks DBRX ecosystem cloud platforms AWS Azure or GCP modern data engineering frameworks and Snowflake data warehousing solutions Key Responsibilities: • Data Engineering AI Platform Development • Design and develop scalable batch and real time data pipelines using Databricks Spark and cloud native services • Build and maintain
Responsibilities
- Data Engineering AI Platform Development
- Design and develop scalable batch and real time data pipelines using Databricks Spark and cloud native services
- Build and maintain enterprise grade data lakes lakehouses and data warehouses
- Create ingestion frameworks for structured semi structured and unstructured data
- Develop AI ready data pipelines supporting LLM RAG Agentic AI and predictive analytics use cases
- Implement metadata management data governance lineage and data quality controls
- AI Generative AI Enablement
- Prepare and transform data for LLM training fine tuning and inference workloads
- Build Retrieval Augmented Generation RAG pipelines integrating vector databases and enterprise knowledge sources
- Develop data workflows supporting DBRX and other foundation models
- Optimize AI data pipelines for performance scalability and cost efficiency
- Cloud Data Platform Engineering
- Design solutions on AWS Azure or GCP environments
- Leverage cloud native data services for ingestion storage orchestration and monitoring
- Implement CI CD and Infrastructure as Code IaC practices for data platforms
- Ensure security compliance and governance across cloud data ecosystems
- Experience building enterprise GenAI or AI Agent solutions
- Exposure to DBRX foundation models and Databricks AI platform
- Hands on experience with vector search and semantic retrieval systems
- Knowledge of DataOps MLOps and LLMOps best practices
- Experience with multi cloud data architectures
- Understanding of Responsible AI and model governance frameworks
- Bachelor s or Master s degree in Computer Science Data Engineering Information Technology Artificial Intelligence or related field
- Key Skillset Databricks DBRX PySpark Spark Python Snowflake AWS Azure GCP Delta Lake Unity Catalog MLflow RAG LangChain Vector Database Pinecone Feature Store Airflow CI CD Docker Kubernetes Data Lakehouse GenAI LLM Data Engineering
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Job application FAQ
Last updated 11 October 2026
- How do I apply for AI Data Engineers at Infosys?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Infosys may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI Data Engineers role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI Data Engineers remote or on-site in Noida, Uttar Pradesh?
- This listing is marked on_site with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this AI Data Engineers role at Infosys?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.