Forward Deployed Engineer

NTT DATA, Inc.; Rajuwali; On-site; INR 1,500,000 - 4,000,000; Full time

Job summary

NTT DATA, Inc. seeks a Forward Deployed Engineer to build AI-powered enterprise applications on Azure, combining full-stack engineering with data engineering, AI/ML and GenAI capabilities.

The role emphasizes API development, AI agents, and secure integration across data sources, with Azure-based deployment and monitoring. Collaboration across teams is essential for delivering production-grade solutions.

Qualifications

• Hands-on experience building enterprise AI/ML and GenAI solutions.
• Experience integrating AI agents with enterprise apps and data sources.
• Deliver production-grade RAG/retrieval solutions and data pipelines.

Responsibilities

• Execute specification-driven development from approved specs.
• Develop UI in React/TypeScript and backend in Python/.NET.
• Build APIs, workflows, and AI-powered services for enterprise apps.
• Integrate AI/ML capabilities and agentic AI features.
• Develop data pipelines with Azure Data Factory and Databricks.
• Implement AI agents using Copilot Studio and Power Platform.
• Create and maintain tests, docs, and CI/CD pipelines.

Skills

Python

C#/.NET

React

TypeScript/JavaScript

AI/ML development

GenAI & Agentic AI

Azure data engineering

API development

Tools

Git

CI/CD

VS Code

GitHub Copilot

Azure Data Factory

Azure Databricks

Job description

India T&M Special Bonus:

Req ID: 390571

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

We are currently seeking a Forward Deployed Engineer to join our team in Anywhere, Karnātaka (IN-KA), India (IN).

Forward Deployed Engineer – Full Stack, Azure, AI/ML & Agentic AI

Role Overview

We are looking for a hands‑on Forward Deployed Engineer (FDE) to build and deploy enterprise applications and AI‑powered solutions based on approved business and technical specifications. The role combines full‑stack engineering, Azure data engineering, enterprise integration, AI/ML, GenAI, and Agentic AI development.

Key Responsibilities

• Execute specification‑driven development based on approved business and technical specifications.
• Develop user interfaces using React and TypeScript/JavaScript and backend/API services using Python and C#/.NET.
• Build APIs, integrations, workflows, orchestration logic, prompts, agents, business rules, and AI‑powered services.
• Develop and integrate AI/ML, GenAI, and Agentic AI capabilities within enterprise applications and decision‑support solutions.
• Develop data ingestion pipelines using Azure Data Factory (ADF) and data transformation/processing solutions using Azure Databricks and Python/PySpark, supporting Medallion Architecture (Bronze/Silver/Gold).
• Develop indexing, search, retrieval, RAG, embeddings, and grounding capabilities for enterprise AI applications.
• Build and integrate AI agents using Microsoft Copilot Studio, Power Apps/Power Platform, enterprise APIs, workflows, and approved data sources.
• Develop workflow, integration, and serverless components using Azure Logic Apps and Azure Functions/Function Apps.
• Extend existing AI Assistant capabilities within GIP through secure integration of APIs, enterprise knowledge, data sources, tools, actions, and agent workflows.
• Deploy and support applications using Azure App Service and implement monitoring, telemetry, and diagnostics using Azure Application Insights.
• Develop and maintain source code, configuration artifacts, prompts, rules, automated/unit tests, validation scripts, and technical documentation.
• Participate in code reviews, testing, defect remediation, CI/CD, deployment, environment configuration, quality assurance, and release management.
• Use GitHub Copilot and VS Code for rapid prototyping and AI‑assisted development while ensuring generated artifacts meet engineering, security, and quality standards.

Required Technical Skills

• Programming: Python, C#/.NET
• Frontend: React, TypeScript/JavaScript
• AI/ML: Python‑based AI/ML development, machine learning concepts, model development/integration, data preparation, evaluation and AI‑powered solution development
• GenAI & Agentic AI: LLMs, prompt engineering, AI agents, tool/action integration, RAG, embeddings, indexing, retrieval and grounding
• Data Engineering: Azure Data Factory (ADF), Azure Databricks, Python/PySpark, Medallion Architecture
• Microsoft AI & Power Platform: Microsoft Copilot Studio, Power Apps/Power Platform
• APIs & Integration: REST APIs, Azure Logic Apps, Azure Functions/Function Apps
• Azure: Azure App Service, Application Insights and associated Azure services
• DevOps & Quality: Git, CI/CD, unit/automated testing, code reviews, debugging and release management
• Development Tools: GitHub Copilot, Visual Studio Code

Preferred Experience

Hands‑on experience building enterprise AI/ML, GenAI and Agentic AI solutions, integrating AI agents with enterprise applications and data sources, developing production‑grade RAG/retrieval solutions, implementing data pipelines and delivering full‑stack applications on Azure.

Expected Engineering Lifecycle

Specification → UI/API → Data & Integration → AI/ML & Agents → Testing → Deployment → Monitoring & Support

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.

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