Tech Consultant - AI Engineer

NTT DATA Services; Bengaluru; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

NTT DATA seeks an experienced AI Engineer to design, develop, and deploy production-grade AI/ML and Generative AI solutions. You'll work with Python, ML frameworks, LLMs, RAG, APIs, and cloud platforms to deliver enterprise-grade AI capabilities across data scientists, data engineers, and software engineers.

The role emphasizes scalable AI integration, API development, and end-to-end deployment on cloud platforms (AWS/Azure/GCP) with an emphasis on observability, testing, and CI/CD for AI

Qualifications

• 5+ years of experience in Software Eng, Data Science, ML or AI Engineering.
• 3+ years hands-on Python, ML frameworks, and production AI/ML development.
• 2+ years deploying AI/ML on AWS, Azure or Google Cloud Platform.

Responsibilities

• Design, develop, test, and deploy AI/ML and Generative AI solutions for enterprise use cases.
• Build and integrate LLM-powered applications using enterprise data sources.
• Design and implement Retrieval-Augmented Generation (RAG) solutions.
• Develop AI services, microservices, and REST APIs using Python.

Skills

Python

SQL

AI/ML

LLMs

RAG

APIs

Cloud platforms

MLOps

Tools

Scikit-learn

PyTorch

TensorFlow

LangChain

Pinecone

FAISS

REST APIs

Docker

Kubernetes

Job description

Job Title: Tech Consultant - AI Engineer

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,

Role Summary

We are seeking an experienced AI Engineer with strong hands‑on expertise in designing, developing, and deploying production‑grade AI/ML and Generative AI solutions. The ideal candidate should have strong experience with Python, Machine Learning, LLMs, RAG, APIs, and cloud‑based AI platforms.

The role will collaborate with Data Scientists, Data Engineers, Software Engineers, Architects, and business stakeholders to develop scalable AI solutions and integrate AI capabilities into enterprise applications.

Day to Day Job Duties

• Design, develop, test, and deploy AI/ML and Generative AI solutions for enterprise use cases.


• Build and integrate LLM-powered applications using enterprise and external data sources.


• Design and implement Retrieval-Augmented Generation (RAG) solutions.


• Develop AI services, Microservices, and REST APIs using Python.


• Implement prompt engineering, embeddings, vector search, and context‑management techniques.


• Develop data preprocessing, feature engineering, model training, and evaluation pipelines.


• Integrate AI models with enterprise applications, APIs, databases, and business workflows.


• Evaluate model and LLM performance for accuracy, quality, latency, reliability, and cost.


• Deploy and operate AI solutions on AWS, Azure, or Google Cloud Platform.


• Implement monitoring, logging, evaluation, and observability for production AI applications.


• Develop automated testing and CI/CD processes for AI solutions.


• Troubleshoot production AI/ML issues and continuously improve model and application performance.


• Collaborate with business stakeholders to translate business problems into practical AI solutions.


• Participate in technical design discussions, code reviews, Agile ceremonies, and production releases.

Basic Qualifications

• 5+ years of experience in Software Engineering, Data Science, Machine Learning, or AI Engineering.


• 3+ years of hands‑on experience with Python, Machine Learning frameworks, and production AI/ML development.


• 2+ years of experience developing Generative AI, LLM, RAG, or AI‑enabled applications.


• 2+ years of experience deploying AI/ML solutions on AWS, Azure, or Google Cloud Platform.

Core Technical Skills

• Programming: Python, SQL


• AI/ML: Scikit‑learn, PyTorch, TensorFlow or similar


• Generative AI: LLMs, Prompt Engineering, RAG, Embeddings


• AI Frameworks: LangChain, LangGraph, LlamaIndex or similar


• Vector Search: Pinecone, FAISS, Chroma, pgvector or similar


• API Development: REST APIs, Microservices

Nice to Have

• Experience building Agentic AI solutions and AI agents.


• Experience with tool/function calling and multi‑step AI workflows.


• Knowledge of Model Context Protocol (MCP).


• Experience with AWS Bedrock, Azure AI Foundry, OpenAI, or Anthropic APIs.


• Experience developing production‑grade RAG solutions with retrieval evaluation and optimization.


• Knowledge of vector databases and semantic search.


• Experience with LLM evaluation, tracing, monitoring, and observability.


• Knowledge of AI guardrails, prompt‑injection prevention, data privacy, and Responsible AI.


• Experience with Docker and Kubernetes.


• Familiarity with Databricks, Spark/PySpark, or Snowflake.


• Experience with MLOps and model lifecycle management.


• Experience in Banking, Financial Services, Insurance, Healthcare, Retail, or other enterprise domains.


• Strong analytical, software engineering, communication, and problem‑solving skills.

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.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . 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.

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