GenAI Engineer | Capgemini Invent

Location: Gurgaon, Haryana, India | Work Mode: Full-time (Flexible/Hybrid options) | Experience Level: 6+ Years | Ref. Code: 451847 | Posted On: July 8, 2026

Job Description

Company Overview

Capgemini Invent is the inventive transformation consulting arm of the Capgemini Group, a global technology powerhouse of 340,000 team members across 50 countries. We blend strategic, creative, and scientific capabilities to deliver purpose-built digital solutions. Our team guides enterprise clients through their dual transition to a digital and sustainable world using market-leading capabilities in data science, cloud engineering, and Generative AI.

Role Summary:

We are seeking a highly skilled OpenAI Developer / GenAI Engineer to join our Cloud Infrastructure Management team. In this position, you will design and deploy production-grade intelligent applications by integrating OpenAI models with Microsoft’s Power Platform, Azure AI Studio, and cutting-edge agentic frameworks. You will own the backend orchestration and scaling of multi-agent architectures built to solve complex, autonomous business workflows.

Key Responsibilities:

• Design, build, and optimize OpenAI-powered systems, conversational bots, and multi-agent customer support frameworks.
• Leverage agentic tech stacks—specifically the Microsoft AutoGen framework—to orchestrate collaborating, autonomous AI agent workflows.
• Build, secure, and maintain scalable backend microservices using either Python or .NET.
• Engineer data pipelines utilizing custom datasets, implementing structural chunking, token embedding, and vector database search optimization for **RAG platforms**.
• Integrate **Azure Cognitive Services** (Document Intelligence/Form Recognizer, Translator, Text Analytics) to maximize application capabilities.
• Ensure highly secure, scalable cloud deployment on Microsoft Azure leveraging **Azure Functions, App Services, and Azure Kubernetes Service (AKS)**.

Your Profile:

• Experience: 6+ years of professional experience in backend engineering and AI integration development using Python or .NET.
• Agentic Expertise: Hands-on proficiency with multi-agent design patterns using frameworks like AutoGen, LangGraph, or CrewAI.
• Cloud Ecosystem: Strong working familiarity with Azure AI Studio and Azure Cognitive Services.
• Theoretical Foundation: Solid understanding of ML fundamentals, Natural Language Processing (NLP), and large language model validation/fine-tuning.
• Education: Bachelor’s degree in Computer Science, Engineering, or a related technical domain.

Job details made easy by trendtoday360

Position: Senior OpenAI Infrastructure & Agentic Systems Architect
Core Technology Focus: AutoGen Multi-Agent Systems, Azure Kubernetes Service (AKS), Python/.NET Backend, RAG Architecture
Strategic Objective: Building Autonomous Enterprise Consulting Ecosystems via Azure Cloud

✅ Job Summary and Focus:

This role at Capgemini Invent is for a **Multi-Agent Systems Architect**. While basic prompt engineering is common, the technical focus here is centered on **Orchestrating Autonomous AI Collaborations**. You will be building multi-agent systems using **Microsoft AutoGen**, where discrete, specialized AI agents talk to one another, validate data, and execute complex workflows without human intervention. Your primary challenge lies in scaling these patterns within an enterprise environment—ensuring low-latency orchestration by wrapping Python/.NET backends into **Azure Kubernetes clusters (AKS)** while managing secure, enterprise-grade vector data extraction.

[Image structure recommendation: A multi-agent framework mapping an initial user request to an AutoGen Coordinating Agent, specialized Tool-Calling/RAG Agents, Azure Cognitive Services parsing, and final deployment in AKS]

📌 Key ATS Resume Keywords:

GenAI Engineer, Capgemini Invent, OpenAI Developer, AutoGen, LangGraph, CrewAI, Python, .NET, Azure Kubernetes Service, AKS, RAG, Vector Search, Azure AI Studio, Azure Cognitive Services, Microsoft Power Platform, Natural Language Processing, Gurgaon Tech Jobs.

💰 Compensation and Sector Dynamics:

Capgemini Invent provides a highly competitive permanent contract compensation model backed by elite institutional benefits:

• Work-Life Balance: Flexible work allocations including structured remote work options and highly adjustable core working hours.
• Upskilling Infrastructure: Direct access to enterprise-funded global certification pipelines specializing in bleeding-edge Generative AI and Azure cloud specializations.
• Gurgaon Tech Ecosystem: Operating from the national capital region’s top consulting hub exposes engineers to large-scale international enterprise digital transformations.

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