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Capgemini

Global consulting, technology services, outsourcing

Managing Consultant - AI Solutions Architect

AI Application EngineeringPosted on Nov 11
Full-timeIn-person

About the Job

Requirements

  • At least 10 years of experience in solution architecture.
  • At least 2 years of experience designing and delivering generative AI, AI-powered, or agent-based solutions in production.
  • Proven experience architecting and implementing multi-agent systems, AI copilots, or agentic workflows.
  • Hands-on experience developing AI agents and orchestration workflows using Azure AI Foundry and Python.
  • Experience building end-to-end agentic solutions, including tool calling, workflow orchestration, retrieval-augmented generation (RAG), memory management, and enterprise integrations.
  • Ability to translate architecture designs into working prototypes and production-ready implementations.
  • Proven experience creating customer-facing demonstrations, proofs of concept (POCs), and reference implementations that demonstrate business value and technical feasibility.
  • Strong understanding of large language models (LLMs), prompt engineering, RAG architectures, AI evaluation frameworks, and Responsible AI principles.
  • Experience designing cloud-native solutions on Microsoft Azure.
  • Strong knowledge of application programming interfaces (APIs), microservices, integration patterns, and enterprise architecture best practices.
  • Experience defining non-functional requirements, including security, scalability, performance, reliability, compliance, and data residency.
  • Excellent communication, stakeholder management, documentation, and technical leadership skills.

Responsibilities

  • Lead the design, architecture, and delivery of enterprise AI solutions, focusing on agentic AI systems built on Azure AI Foundry.
  • Translate business requirements into scalable, secure, production-ready AI solutions.
  • Own end-to-end solution architecture, including agent design, orchestration patterns, system decomposition, integration boundaries, and non-functional requirements.
  • Work closely with product, engineering, data, and cloud teams to establish architecture standards, facilitate design reviews, and align business objectives with technical implementation.
  • Design, develop, test, and deploy AI agents and multi-agent workflows using Python and Azure AI Foundry.
  • Build prototypes, proofs of concept, and reference implementations.
  • Deliver executive and technical demonstrations that showcase solution value and validate architecture decisions.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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