Jobs / Kyndryl Hiring AI Data Engineer | Hybrid Multiple Locations
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Kyndryl

Kyndryl Hiring AI Data Engineer | Hybrid Multiple Locations

location_on Pune, Bangalore, Hyderabad, Chennai | Hybrid
work 5+ years Experience
payments Competitive Salary (Not disclosed)
schedule Full Time

Role Overview

Job Overview Kyndryl is seeking an AI Data Engineer to build enterprise-grade AI data platforms that power intelligent business applications. This full-time hybrid opportunity is available across Bangalore, Hyderabad, Gurgaon, Chennai, and Pune. You will design secure, scalable, and AI-ready data pipelines that support retrieval-augmented generation (RAG), semantic search, and enterprise AI agents. Working with operational data from platforms such as ServiceNow, SharePoint, Confluence, Git, and monitoring systems, you will help transform raw information into trusted, governed, and searchable knowledge for modern AI solutions. Key Responsibilities - Build batch and real-time ingestion pipelines. - Design AI-ready data models and metadata strategies. - Develop RAG architectures including chunking, embeddings, indexing, and re-ranking. - Create vector search and knowledge graph solutions. - Integrate enterprise platforms and AI retrieval APIs. - Maintain data quality, lineage, governance, auditability, and security. - Evaluate retrieval performance and continuously improve AI data quality. Required Skills Strong experience in Python, SQL, ETL/ELT, data modeling, enterprise integration, AI data engineering, RAG, semantic search, vector databases, and cloud data platforms. Preferred Skills Master's degree, relevant certifications, ITSM experience, and expertise with enterprise AI frameworks. Education Bachelor's degree is expected. A Master's degree and relevant certifications are preferred. Experience Minimum 5 years in data engineering or platform development with at least 2 years supporting GenAI, RAG, search, or semantic AI products. Required Technologies Python, SQL, ETL, ELT, LangChain, LlamaIndex, LangGraph, Azure AI Search, Pinecone, Elasticsearch, Databricks, Snowflake, BigQuery, Airflow, dbt, ServiceNow, SharePoint, Confluence, Git, Vector Databases, RAG. Soft Skills Problem solving, collaboration, communication, customer focus, ownership, analytical thinking, adaptability, and continuous learning. Benefits of Working in this Role Work on enterprise AI initiatives, collaborate with global engineering teams, gain exposure to advanced GenAI technologies, and benefit from continuous learning and career growth opportunities. Work Mode Hybrid. Location Bangalore, Hyderabad, Gurgaon, Chennai, or Pune, India. Who Should Apply Experienced data engineers interested in enterprise AI, GenAI, search platforms, cloud data engineering, and secure data architecture. Career Growth The role offers opportunities to advance into senior engineering and leadership positions while building expertise in enterprise AI platforms. Application Advice Highlight your experience with Python, SQL, RAG, vector databases, cloud data platforms, enterprise integrations, AI frameworks, and governance. Apply now through SoftoJobs to explore this opportunity.

Technical Ecosystem

Eligibility Criteria

school

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. Master's degree preferred.

work_history

Experience

5+ years

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