Artificial Intelligence Data Engineer

Kyndryl Solutions Private Limited; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Be Well program

Hybrid-friendly culture

Learning opportunities

Job summary

Kyndryl Solutions Private Limited is seeking an AI Data Engineer to build secure, AI-ready data pipelines powering enterprise AI agents. You will ingest, normalize, and enrich data from ServiceNow, SharePoint, Confluence, Git, and monitoring tools, while shaping advanced semantic search, vector storage, and metadata tagging for high-precision AI retrieval.

You will implement ingestion, normalization, governance, and retrieval APIs, and ensure data lineage and compliance.

Qualifications

• 5+ years in data engineering or platform development; 2+ years in GenAI, RAG, or semantic data products.
• Experience connecting enterprise data sources to AI workflows and APIs.
• Strong embeddings, hybrid search, knowledge graphs, and vector databases.
• Hands-on with LangChain, LlamaIndex, LangGraph, and modern LLM endpoints.
• Proficiency in Python, SQL, ETL/ELT, data modeling, and orchestrators like Databricks, Snowflake, BigQuery, Airflow, or dbt.
• Experience with ServiceNow, SharePoint, Confluence, Git, monitoring tools.

Responsibilities

• Ingestion pipelines: Build batch and real-time data pipelines for tickets, CMDB records, knowledge bases, and operational logs.
• Data normalization & quality: Convert raw enterprise data into clean, AI-ready schemas with quality scoring, deduplication, and full metadata tracking.
• RAG architecture: Design chunking, embedding, indexing, and re-ranking strategies to drive high-accuracy vector search for AI agents.
• Knowledge mapping: Construct knowledge graphs and relationship maps across CMDB assets, applications, dependencies, and SLAs.
• Data governance & security: Enforce strict access controls, sensitive data handling, retention policies, and audit logging for AI retrieval.
• Lineage & compliance: Maintain clear data dictionaries, transformation logic, and evidence logs for security and compliance audits.
• Agent integration: Build retrieval APIs and structured context packages tailored for ticket, SLA, and knowledge-focused AI agents.
• Evaluation & testing: Measure retrieval precision and response freshness while curating golden datasets for continuous testing and tuning.

Skills

Python

SQL

ETL/ELT

Data modeling

Databricks

Airflow

GenAI/RAG

Knowledge graphs

Data governance

ServiceNow integration

Education

Master Degree

Tools

Azure AI Search

Pinecone

Elasticsearch

LangChain

LlamaIndex

LangGraph

Databricks

Snowflake

BigQuery

Airflow

Job description

AI Data Engineer

Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.

The Role

Your role: We are seeking a specialist to build secure, AI-ready data pipelines and retrieval architectures that power high-performing enterprise AI agents. In this role, you will ingest, normalize, and enrich complex operational data from sources like ServiceNow, SharePoint, Confluence, Git, and monitoring tools. You will be responsible for designing advanced semantic search, vector storage, and metadata tagging strategies to optimize grounded agent performance, while maintaining strict standards for data quality, lineage, access control, and privacy.

What you will do:

• Ingestion Pipelines: Build batch and real-time data pipelines for tickets, CMDB records, knowledge bases, and operational logs.
• Data Normalization & Quality: Convert raw enterprise data into clean, AI-ready schemas with quality scoring, deduplication, and full metadata tracking.
• RAG Architecture: Design chunking, embedding, indexing, and re-ranking strategies to drive high-accuracy vector search for AI agents.
• Knowledge Mapping: Construct knowledge graphs and relationship maps across CMDB assets, applications, dependencies, and SLAs.
• Data Governance & Security: Enforce strict access controls, sensitive data handling, retention policies, and audit logging for AI retrieval.
• Lineage & Compliance: Maintain clear data dictionaries, transformation logic, and evidence logs for security and compliance audits.
• Agent Integration: Build retrieval APIs and structured context packages tailored for ticket, SLA, and knowledge-focused AI agents.
• Evaluation & Testing: Measure retrieval precision and response freshness while curating golden datasets for continuous testing and tuning.

Your Future at Kyndryl

The career path ahead is full of exciting opportunities to grow and advance within the job family. With dedication and hard work, you can climb the ladder to higher bands, achieving coveted positions such as Principal Engineer or Vice President of Software. These roles not only offer the chance to inspire and innovate, but also bring with them a sense of pride and accomplishment for having reached the pinnacle of your career in the software industry.

Who You Are

You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.

Required Technical and Professional Experience

• Experience : 5+ years in data engineering or platform development, with 2+ years dedicated to supporting GenAI, RAG, search, or semantic data products (ITSM/ServiceNow experience preferred).
• AI Agent & Data Integration: Proven ability to connect enterprise data sources to platforms like Agent Builder, configure RAG pipelines, and package governed context/APIs for AI workflows.
• LLM & RAG Architecture: Strong background in embeddings, hybrid search, re-ranking, knowledge graphs, and vector databases (e.g., Azure AI Search, Pinecone, Elasticsearch).
• AI Frameworks: Hands‑on familiarity with GenAI stacks and orchestration frameworks, including LangChain, LlamaIndex, LangGraph, and modern LLM endpoints.
• Core Data Engineering: Expertise in Python, SQL, ETL/ELT pipelines, data modeling, and orchestration platforms like Databricks, Snowflake, BigQuery, Airflow, or dbt.
• Enterprise Systems & ITSM: Practical experience integrating operational data from ServiceNow (CMDB, tickets, SLAs), SharePoint, Confluence, Git, and monitoring tools.
• Data Governance & Security: Deep understanding of enterprise data lineage, access controls, auditability, and sensitive data handling for AI usage.

Key Delivery Track Record

Demonstrated ability to deliver AI-ready pipelines, metadata/knowledge models, vector configurations, and retrieval performance evaluation reports.

Preferred Technical and Professional Experience

• Master Degree & any relevant certification

Being You

The 'Kyn' in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way.

What You Can Expect

Your career with us isn’t just a job—it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best. From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth. We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands‑on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success. We want you to thrive here—and we’re committed to helping you do just that.