Architect AI generative H/F

Devoteam
France
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Leadership","Collaboration","Problem-solving"]

Design end-to-end GenAI platform architectures on Azure, covering robustness, scalability, security, and overall coherence. Define architecture standards and build advanced RAG solutions using Azure AI Search, Azure OpenAI, Microsoft Foundry, embeddings, and LLMOps/FinOps. Develop agentic systems with Microsoft Agent Framework, LangChain, and LlamaIndex, integrate solutions into existing systems via APIs/microservices/serverless/containers, and set up monitoring, evaluation, and governance including Azure AI Content Safety.

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Devoteam
Devoteam
5 days ago

Architect AI generative H/F

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Design end-to-end GenAI platform architectures on Azure, covering robustness, scalability, security, and overall coherence. Define architecture standards and build advanced RAG solutions using Azure AI Search, Azure OpenAI, Microsoft Foundry, embeddings, and LLMOps/FinOps. Develop agentic systems with Microsoft Agent Framework, LangChain, and LlamaIndex, integrate solutions into existing systems via APIs/microservices/serverless/containers, and set up monitoring, evaluation, and governance including Azure AI Content Safety.
Location: France
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Define and lead end-to-end GenAI architectures, ensuring robustness, scalability, security, and coherence.
  • •Establish architecture standards and industrialization best practices (reference models, RAG patterns, design principles).
  • •Design advanced RAG systems integrating Azure AI Search, Azure OpenAI, Microsoft Foundry, embeddings, and LLMOps/FinOps.
  • •Develop complete agentic architectures using Microsoft Agent Framework, LangChain, LlamaIndex, and modern protocols (MCP, Agent-to-Agent).
  • •Integrate GenAI solutions into existing information systems via APIs, microservices, serverless, or containers, including landing zone setup and monitoring/governance.

Pay and Benefits

Perks:Learning Budget

Key Requirements

  • •Mastery of Azure technologies for GenAI, including RAG, multi-agent systems, and LLM orchestration.
  • •Proven experience defining scalable, production-ready GenAI architectures with strong software engineering foundations.
  • •Skills in building RAG solutions with Azure AI Search and Azure OpenAI, including embeddings and LLMOps/FinOps practices.
  • •Experience designing agentic architectures using Microsoft Agent Framework, LangChain, and LlamaIndex, plus modern protocols (MCP, Agent-to-Agent).
  • •Ability to ensure governance and security (e.g., Azure AI Content Safety, compliance, filtering, red teaming) and to establish monitoring/observability/evaluation strategies for LLM behaviors.
Experience:GenAICloudLLMOps
Skills:CommunicationLeadershipCollaborationProblem-solving
Languages:English (US)
Tech Stack:AzureAKSACAFunctionsTerraformLLMOpsAzure AI SearchAzure OpenAIMicrosoft FoundryEmbeddingsFinopsMicrosoft Agent FrameworkLangChainLlamaIndexMCPAgent-to-AgentAPIsMicroservicesServerlessContainers

Company Brief

Devoteam
Devoteam is an IT consulting firm specializing in digital transformation, cloud, cybersecurity, and data solutions for enterprise clients across Europe and the Middle East, combining technology partnerships with management consulting services.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Paris, France
Founded: 1995
WebsiteLinkedIn