Engineering roles that build with AI models, from agents to generative AI. Based in and around Delhi NCR, Gurugram and Noida included. 20 of these come straight from employers' own careers sites, among them EY, PwC, EXL Service. Every job was confirmed open on 9 Nov 2026. 8 were posted in the last 7 days, the newest on 9 Nov 2026.
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EY
Senior · 6+ years
This role involves leading AI/ML assessments, designing AI transformation roadmaps, and implementing AI/ML solutions for clients, with a focus on Generative AI and enterprise-scale AI initiatives.
PwC
Senior · 8+ years
This role involves leading the development of advanced machine learning and statistical models to solve complex healthcare problems, collaborating with stakeholders, and mentoring the data science team.
EXL Service
Senior · 5+ years
The role involves building and deploying ML/AI models, with a focus on Databricks and Spark, and developing end-to-end ML pipelines.
Fractal Analytics
Senior
This role involves designing, developing, and implementing advanced solutions using Large Language Models (LLMs) and other Generative AI technologies, with a focus on creating scalable, modular, and production-grade AI systems.
Mastercard
Principal
This role involves leading the architecture, design, and implementation of enterprise AI and agentic systems, focusing on scalability, reliability, and security, and working on innovative AI and ML fraud solutions.
PayU India
Senior · 4+ years
This role involves building and deploying AI-powered backend services and autonomous agents for lending workflows, ensuring they are scalable, secure, and compliant with financial regulations.
Vinove
This role involves leading the design, development, and deployment of full-stack applications using the MERN stack, with a focus on integrating AI/ML-powered features and ensuring system reliability and scalability.
Techahead Software
Senior · 5+ years
This role involves designing, developing, and maintaining scalable backend applications with a focus on AI-powered features, while also contributing to web and mobile applications.
UPS
Staff · 8+ years
This role involves leading and scaling enterprise AI platforms, including IBM watsonx and Google Cloud Vertex AI, and managing AI model and application onboarding, pipeline automation, and governance.
Fractal Analytics
Mid level · 3+ years
This role involves building and maintaining machine learning operations (MLOps) systems, collaborating with data scientists and engineers to deploy and operate advanced analytics models, and automating model development and operations.
Fractal Analytics
Senior · 5+ years
This role involves building and maintaining machine learning operations (MLOps) systems, collaborating with data scientists and engineers to deploy and operate advanced analytics models, and troubleshooting issues in various environments.
Brillio
Mid level · 2+ years
This role involves designing and developing full-stack AI applications, focusing on agentic AI frameworks and cloud-native architectures, and collaborating with cross-functional teams to deliver intelligent solutions.
UPS
Senior · 5+ years
This role involves designing, developing, and deploying AI systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures, with a focus on hands-on development and enterprise-grade AI platforms.
UPS
Mid level · 5+ years
This role involves designing, developing, and deploying AI systems using Large Language Models (LLMs), Chatbots, Retrieval-Augmented Generation (RAG), and agentic AI architectures. The work includes hands-on development with LLMs, embeddings, RAG pipelines, and multi-agent systems using modern frameworks like LangChain, LangGraph, and LlamaIndex.
Wolters Kluwer
Senior · 5+ years
This role involves working with a team to develop and maintain software products using .NET and Angular technologies, ensuring high quality and business value while minimizing technical debt. The engineer will also participate in R&D, debugging, and security best practices.
Gartner
Junior
This role involves developing, testing, and deploying production-grade, scalable data pipelines and AI-ready data products, working with various teams to ensure reliable and scalable data solutions.
Accenture
Mid level · 3+ years
This role involves creating and delivering software solutions that integrate artificial intelligence at their core, focusing on applying AI-driven methodologies to enhance software development processes and operations.
LexisNexis
Senior
This role involves engineering, operating, and scaling enterprise AI platforms, focusing on Microsoft 365 Copilot, Copilot Studio, Power Platform, and Azure AI Foundry, to enable AI adoption across the organization.
EXL Service
Mid level · 3+ years
This role involves designing, developing, and deploying Generative AI solutions using Large Language Models (LLMs) and prompt engineering techniques, with a focus on enterprise applications and collaboration with various teams.
Boston Consulting Group
Manager · 2+ years
This role involves designing, developing, and optimizing GenAI products, with a focus on full stack development, performance, and stability of custom-built products. The work includes LLM expertise, data science/ML, backend development, and documentation.
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About this list
On 9 Nov 2026, 6:18 pm IST.
Every job here was confirmed open on 9 Nov 2026. A job not seen for 3 days leaves the list.
8 of the 20 were posted in the last 7 days, and the newest on 9 Nov 2026. Posted dates are the employer's own and never changed.
On this list: Fractal Analytics (3 jobs), UPS (3 jobs), EXL Service (2 jobs), EY (1 job), PwC (1 job), Mastercard (1 job) and 9 more companies.
On this list: 2 to 4 years (6), 5 to 9 years (9) and not stated (5).
None of the 20 state pay right now. A figure appears only when the employer gives one.
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