Live opening · Posted 12 days ago

AI Engineer

Capgemini India
Successfactors
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At a glance

The key details from the original listing.

Posted 12 days ago
CompanyCapgemini India
SourceSuccessfactors
Listed12 days ago

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About the role

Description supplied by the original job listing.

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Job Description
Job Objective
Design, develop, implement, and operate enterprise solutions based on Generative Artificial Intelligence, Machine Learning, and Intelligent Automation on Microsoft Azure. You will be responsible for building scalable AI components, integrating foundational models and cognitive services with enterprise applications, and ensuring the secure, efficient, and governed operation of solutions in production environments.
Main Responsibilities
AI Solution Development
Design and implement applications based on Generative AI and Large Language Models (LLM).
Build enterprise copilots, virtual assistants, and intelligent agents.
Develop semantic search and Retrieval-Augmented Generation (RAG) solutions.
Implement reasoning, orchestration, and automation mechanisms using AI agents.
Integrate AI services with enterprise applications, APIs, and data platforms.
Data Engineering for AI
Design data ingestion, transformation, and enrichment pipelines.
Implement knowledge indexing and vectorization strategies. Manage structured and unstructured knowledge repositories.
Ensure the quality, consistency, and traceability of data used by AI models.
Implementation and Operation
Deploy solutions using Azure managed services.
Implement LLMOps, MLOps, and DevSecOps best practices.
Monitor the performance, costs, accuracy, and adoption of solutions.
Manage versions of AI prompts, models, and components.
Quality and Security
Apply Responsible AI principles.
Implement security and data protection controls.
Ensure compliance with business and regulatory standards.
Participate in architecture and technical quality reviews.
Required Technology Stack
Azure AI & GenAI
Azure OpenAI Service
Azure AI Foundry
Azure AI Search
Azure AI Content Safety
Azure Machine Learning
Azure AI Document Intelligence
Azure AI Language Services
Azure Cognitive Services
Application Development
Python
C#
.NET 8
REST APIs
FastAPI
ASP.NET Core
JavaScript/TypeScript
AI Frameworks
Semantic Kernel
LangChain
LangGraph
AutoGen
CrewAI
OpenAI SDK
Azure AI SDK
#LI-DC10
#LI-Remote
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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