Req ID : 369798

We are currently seeking a Data AI Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Job Duties : Role Overview

We are looking for GenAI Data Engineers to build intelligent AI solutions that integrate with enterprise data platforms.

You will work on developing AI agents, data pipelines, and analytics solutions to support:

- Automated research and document generation
- Data-driven insights for compliance and risk
- Continuous monitoring of AFC, Compliance, and ORM MI datasets
- Key Responsibilities

GenAI AI Development

- Develop and implement LLM-based solutions using modern frameworks

- Build AI agents and workflows for:

- Research automation

- Document generation

- Data analysis

- Implement RAG pipelines over enterprise data

- Perform prompt engineering and output evaluation

- Data Engineering

- Build and maintain data pipelines for ingestion and transformation

- Work with:

- Structured data (SQL, warehouses)

- Unstructured data (documents, PDFs, logs)

- Perform data cleansing, transformation, and enrichment

- Support data modeling and query optimization

- Analytics Monitoring

- Develop solutions for continuous monitoring of compliance datasets
- Analyse AFC / Compliance / ORM MI data for trends and anomalies




- Build data-driven insights and integrate with AI workflows
- Integration Development

- Develop APIs and backend services for AI solutions
- Integrate AI models with enterprise systems
- Ensure performance, scalability, and reliability

Minimum Skills Required :

Required Skills : Core Skills

- 6+ years of experience in Data Engineering / Software Engineering / AI
- Solid hands-on programming in Python
- Experience with GenAI / LLMs and AI frameworks
- Strong SQL skills and experience with data processing

Data Skills

- Experience with:

- ETL/ELT pipelines

- Data transformation tools (Pandas, PySpark)

- Data warehouses / lakehouses

- Understanding of data quality and validation

AI Skills

- Knowledge of:

- RAG architecture

- Embeddings and vector search

- Prompt engineering

- Exposure to Agentic AI concepts

Engineering Skills

- Experience with APIs, microservices
- Familiarity with cloud platforms (AWS preferred, Azure, GCP)
- Nice to Have

- Experience in banking / compliance datasets
- Understanding of risk and regulatory reporting
- Exposure to dashboarding tools (Power BI, Tableau)
- Experience with real-time data processing

About NTT DATA

📌 Data & Ai Engineer (Bengaluru)
🏢 NTT
📍 Bengaluru