Senior AI Engineer

NTT DATA, Inc.; Indianapolis (IN); Hybrid; USD 120,000 - 210,000; Full time

Job summary

NTT DATA, Inc. is seeking a Senior AI Engineer to join our team in Bangalore, India, focusing on agentic AI design, RAG applications, and scalable AI services.

You will develop AI assistants, knowledge pipelines, and enterprise-grade solutions across engineering, data science, and product teams. The role emphasizes software engineering best practices, CI/CD, observability, and responsible innovation to help clients transform complex data into actionable insights.

Qualifications

• Experience designing agentic AI workflows and AI assistants.
• Proficient with RAG architectures, embeddings, and vector stores.
• Strong Python development skills and CI/CD practices.
• Familiarity with cloud-native AI platforms and observability.

Responsibilities

• Agentic AI design and develop AI assistants and agentic workflows.
• Build and optimize RAG applications for enterprise use.
• Develop knowledge ingestion, extraction, and retrieval pipelines.
• Implement chunking, semantic search, and graph-based retrieval.
• Develop scalable AI services, APIs, and automation workflows.
• Create browser automation solutions with Playwright or Puppeteer.
• Deploy, monitor, and optimize containerized AI applications.
• Contribute to AI testing, evaluation, benchmarking and experimentation.
• Apply software engineering best practices: testing, CI/CD, observability.

Skills

Agentic AI Design

RAG & Retrieval

AI Engineering

LLM-based Apps

Data Processing

Software Engineering

Cloud Architecture

MLOps / LLMOps

Model Evaluation

Browser Automation

Tools

LangGraph

Haystack

OpenAI SDK

LanceDB

FalkorDB

Playwright

Puppeteer

vLLM

SGLang

Azure Container Apps

Docker

Python

Ray

Job description

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us.

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

KEY RESPONSIBILITIES

• Agentic AI Design and develop AI assistants and agentic workflow solutions.
• Knowledge Systems Build and optimize RAG (Retrieval-Augmented Generation) applications.
• Data & Retrieval Develop knowledge ingestion, extraction, and retrieval pipelines from documents, APIs, databases, and web sources.
• Search & Context Implement chunking strategies, semantic search, vector search, and graph-based retrieval.
• Platform Engineering Develop scalable AI services, APIs, and automation workflows.
• Automation Build browser automation solutions using Playwright and Puppeteer.
• Operations Deploy, monitor, and optimize containerized AI applications.
• Quality & Eval Contribute to AI testing, evaluation, benchmarking, and experimentation practices.
• Eng. Excellence Apply software engineering best practices: testing, CI/CD, observability, and operational excellence.

CORE SKILLS GOOD TO HAVE

• Programming Strong Python development skills.
• AI Engineering Experience building AI, ML, or data-driven solutions.
• Generative AI Experience with LLM-based applications and Generative AI solutions.
• RAG & Retrieval Hands‑on experience with RAG, embeddings, vector databases, semanticsearch, and chunking strategies.
• Data Processing Understanding of web scraping and unstructured data processing.
• Soft. Engineering Experience with Git, testing frameworks, and CI/CD pipelines.
• Cloud Good understanding of Azure and cloud‑native architectures.
• MLOps / LLMOps Familiarity with deployment, monitoring, and operational workflows for AI solutions.
• AI Evaluation Experience with AI testing, model evaluation, benchmarking, and performance optimization.
• Browser Auto. Experience with Playwright or Puppeteer.
• Soft Skills Strong analytical and problem‑solving skills.
• Agentic AI Workflow orchestration and agentic design patterns.
• Adv. Retrieval Hybrid search, retrieval optimization, and advanced RAG architectures.
• KnowledgeGraphs Graph‑based retrieval and knowledge graph solutions.
• Fine‑Tuning LoRA, QLoRA, Adapter‑based Tuning, and PEFT techniques.
• Model Serving Serving and deploying models using vLLM and SGLang.
• Observability Monitoring, tracing, and AI observability frameworks.
• AI Strategy Understanding when to use prompting, RAG, knowledge graphs, or fine‑tuning.

TECHNOLOGY STACK

• AI & AgentFrameworksLangGraph, Haystack, OpenAI SDK Observability & Eval Langfuse Knowledge & Retrieval LanceDB, FalkorDB Automation Playwright, Puppeteer Model Serving & Inf. vLLM, SGLang Platform & Infra Azure Container Apps, Azure Container Registry (ACR), Docker Development Python, Ray

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise‑scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future.

As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start‑up partners.

NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs.

While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements.

For employees near an NTT DATA office or client site, in‑office attendance may be required for meetings or events, depending on business needs.

At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.