Job Description

Req ID:

351255




NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.



We are currently seeking a AI Engineer / GenAI Developer to join our team in Chennai, Tamil N?du (IN-TN), India (IN).

Job Title

Intermediate / Senior AI Engineer - Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx

Job Summary

We are seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large Language Models (LLMs), Chatbots, Retrieval-Augmented Generation (RAG), and agentic AI architectures.



This role involves hands-on development with LLMs, embeddings, RAG pipelines, and multi-agent systems using modern frameworks like LangChain, LangGraph, and LlamaIndex. The ideal candidate has experience with Vertex AI on GCP and IBM WatsonX, fine-tuning, and Agent Development Kits (ADKs), and is excited about building scalable, production-grade AI platforms.

Responsibilities

Agentic AI Development:

Design, build, and deploy

agentic AI systems

using frameworks such as LangChain, LangGraph, and related libraries.



Develop and deploy

multi-agent systems

capable of autonomous decision-making, reasoning, planning, and collaboration.

RAG Pipelines:

Implement and optimize

retrieval-augmented generation (RAG)

systems, ensuring agents can access and incorporate external knowledge sources for

grounded, accurate responses

.

LLM Engineering:

Fine-tune and prompt-engineer LLMs for

task-specific reasoning, planning, and dynamic adaptation

.



Work with

LLM/SLM APIs, embeddings, and advanced generative AI techniques

.

Enterprise AI Platform:

Lead the development of enterprise-grade AI platforms integrating

LLMs, RAG, embeddings, and agentic AI protocols

.



Implement and standardize

Model Context Protocol (MCP)

for consistent context management across models and agents.

MLOps & Observability:

Establish and enforce best practices for

MLOps, monitoring, and observability

, ensuring scalable and maintainable AI solutions.

Applied AI Prototyping:

Rapidly

prototype, experiment, and iterate

to improve AI agent capabilities.

Collaboration & Research:

Participate in the

full research cycle

: literature review, data exploration, experimentation, and presentation of findings.



Collaborate effectively with other engineers, researchers, and data scientists.



Contribute to the

documentation and standardization

of technical code and practices.

Required Education

Bachelor's degree

in Computer Science, Engineering, or a related quantitative field.

Master's or Ph.D.

is a strong plus.

Required Experience

5+ years overall experience

in software development, data science, or machine learning.

1+ year of hands-on experience

developing AI applications with LLMs and systems such as

retrieval-based methods, fine-tuning, or agent-based architectures

.

1+ year of experience

with frameworks like

LangChain, LlamaIndex, OpenAI, or similar tools

.

Required Technical Skills

Strong programming skills in

Python

and basics in

SQL

. Expertise with

LLM/SLM APIs, embeddings, and RAG systems

. Experience deploying on

Google Cloud Platform (GCP)

with

Vertex AI,

and

IBM WatsonX

. Familiarity with

agentic AI protocols

and exposure to

Agent Development Kits (ADKs)

.

Preferred Qualifications

Experience implementing

Model Context Protocol (MCP)

for agent coordination. Prior exposure to

LangGraph, AutoGen, or related orchestration frameworks

. Knowledge of

MLOps best practices

(CI/CD for ML, observability, monitoring, scaling). Familiarity with

responsible AI

principles (safety, fairness, interpretability). Experience in

enterprise-scale deployments

of AI-driven platforms. Contributions to

open-source AI/ML projects

are a plus.

About NTT DATA

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 recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. 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. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.