Senior Data Scientist

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Senior Data Scientist in Others new

Capgemini
Full time
Email

Others
11/06/2026
Report

Cairo, Egypt

Responsibilities

Design and develop agentic AI applications, LLM-driven workflows, and single-agent and multi-agent solutions.
Implement orchestration, reasoning, planning, memory, tool usage, RAG, embeddings, vector search, and knowledge-base integrations.
Develop Python backend components and APIs integrating agents with databases, enterprise applications, external services, and business systems.
Implement security controls, guardrails, evaluation, monitoring, observability, and Responsible AI practices.
Design evaluations for agent quality, accuracy, reliability, performance, and cost.
Deploy and operate AI solutions in cloud and containerized environments.
Collaborate with AI and Data Architects, Data Engineers, Product Owners, and business stakeholders to translate use cases into scalable solutions.
Own significant technical components, contribute to engineering decisions and standards, create reusable assets, and mentor junior engineers.

Requirements

At least 5 years of professional experience in software engineering, AI engineering, data engineering, or related technical roles.
Strong hands-on Python development skills and software engineering fundamentals, including API development, Git, testing, CI/CD, and production-quality coding.
Practical experience building Generative AI/LLM applications and agentic AI solutions, intelligent workflows, or advanced LLM-based applications.
Strong understanding of LLMs, prompt engineering, agent orchestration, tool/function calling, RAG architectures, embeddings, vector search, context and memory management, and enterprise integration.
Experience with at least one agentic AI or Generative AI framework such as LangGraph, LangChain, Microsoft Semantic Kernel, or AutoGen.
Experience with Docker and/or Kubernetes and at least one major cloud platform: Azure, AWS, or GCP.
Strong analytical, troubleshooting, problem-solving, independent ownership, and collaboration skills.
Data engineering experience with data pipelines, ETL/ELT, data integration, SQL, databases, data lakes, lakehouses, warehouses, data quality, metadata, governance, lineage, or security is a significant advantage.
Preferred qualifications include experience with Azure AI Foundry, Azure OpenAI, AWS Bedrock, vector search or vector databases, MLOps/LLMOps, LLM evaluation and tracing, cloud-native architectures, microservices, Responsible AI, content safety, AI governance, and enterprise AI delivery.

Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,...

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