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Inetum

Global IT services for digital transformation

Agentic AI Architect

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSaint-Ouen-sur-Seine, FranceNo salary listed

About the Job

Requirements

  • Master's-level higher education (Bac+5) in computer science, artificial intelligence, information systems architecture, or a related field.
  • At least 8 years of experience in artificial intelligence, automation, or cloud architecture, including significant experience in a regulated environment or a large multi-team organization.
  • Production experience with artificial intelligence and agentic architectures, ideally on Google Cloud or Vertex AI, including large language model systems, autonomous agents, orchestration, and retrieval-augmented generation.
  • Deep knowledge of multiple agentic frameworks, including Agent Development Kit, LangGraph, and LangChain, with the ability to compare them and justify an architectural choice.
  • Cross-stack knowledge covering n8n orchestration, UiPath robotic process automation, and Camunda business process management and modeling notation.
  • Strong software and cloud architecture expertise, Python, API design, systems integration, data pipelines, Model Context Protocol, agent-to-agent interoperability, security, scalability, and cost management.
  • Knowledge of responsible artificial intelligence topics, including compliance, General Data Protection Regulation, privacy, traceability, human-in-the-loop controls, and governance.
  • Ability to translate business requirements into technical solutions with a pragmatic delivery orientation.
  • Fluent French and fluent English.

Responsibilities

  • Define and maintain the reference architecture for agentic systems, including large language model systems, autonomous agents, orchestration layers, retrieval-augmented generation, knowledge-driven systems, data pipelines, model integration patterns, reusable accelerators, and guardrails.
  • Translate business use cases into scalable and secure architectures from requirements gathering with business teams through production.
  • Make framework and platform decisions, evaluate proprietary and open-source market solutions, and select approaches based on security, compliance, and scalability.
  • Determine when to use Camunda for regulated processes and Model Context Protocol or agent-to-agent interoperability for integration.
  • Own trade-off decisions involving risk, innovation, governance, scalability, and total cost of ownership.
  • Ensure responsible artificial intelligence in partnership with cybersecurity and data privacy teams.
  • Lead the technical aspects of presales, including scoping, estimating, client presentations, and responses to requests for proposals.
  • Mentor consultants, challenge designs, produce architecture playbooks, and disseminate standards across the practice.
  • Monitor innovation across the rapidly evolving agentic and generative artificial intelligence ecosystem and incorporate relevant developments into the offering.

About the Company

Inetum

Global IT services for digital transformation

Inetum provides IT services for digital transformation in 26 countries, serving enterprises, SMEs, and public sector clients. It offers cybersecurity, cloud computing, predictive maintenance, and augmented reality, delivered through consulting, managed services, and proprietary software. It differentiates itself through a broad service portfolio, strategic partnerships with Microsoft and Sage, and a focus on tailoring solutions to fit each client’s needs. Its goal is to help clients adapt to a changing digital landscape, improving business agility and creating economic, managerial, and social opportunities.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Saint-Ouen, France
Founded
1995

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