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Consultant Expert - Agentic AI Architect & AI Platform Tech Lead

Original title: Consultant Expert - Architecte IA Agentique & Tech Lead Plateforme IA

Raedy · Île-de-France, France · Hybrid · Senior

  • Île-de-France, France · Hybrid
  • 12 mois renouvelable
  • French

Indexed (today) · refreshed constantly

Start
ASAP
Duration
12 mois renouvelable
Work mode
Hybrid
Contract
Freelance / B2B
Seniority
Senior

Required skills

Nice to have:TypeScriptAzureAWSGCPKubernetesOpenShift

Languages: French

Job description

We are looking for an Expert Consultant - Agentic AI Architect & AI Platform Tech Lead to design, structure, and industrialize generative AI and agentic systems within the IA4IT initiative.

Project overview

Context

As part of the IA4IT project within the IT system modernization program, we are seeking an Expert Consultant - Agentic AI Architect & AI Platform Tech Lead to support the design, structuring, and industrialization of generative AI uses and agentic systems.

The consultant will be responsible for defining and implementing the technical architectures for building robust, secure, and industrializable AI agents and agentic solutions.

Missions

Tools & Environment

Expected Deliverables

Candidate Profile

  • Define reference architectures for agentic solutions and the company's AI uses.
  • Design integration models between the AI platform and the IT system.
  • Support the implementation of complex agentic workflows and multi-agent orchestration mechanisms.
  • Define development, testing, observability, and governance standards for AI agents.
  • Identify the most relevant technologies, frameworks, and components to meet business needs.
  • Supervise and challenge developments carried out by product teams and partners.
  • Design and evaluate integration patterns with GitHub, Jira, Confluence, ITSM, documentation bases, APIs, and business services.
  • Participate in work on interoperability protocols such as MCP, A2A, or any other emerging market standard.
  • Implement supervision, quality measurement, traceability, and AI usage control mechanisms.
  • Support the industrialization of solutions from proof of value to production deployments.
  • Maintain active monitoring of developments in AI platforms, LLMs, and agentic architectures.
  • LLM architectures, generative AI, single-agent and multi-agent systems, agentic workflow orchestration, RAG, conversational memory, and context management.
  • MCP, A2A protocols, agentic ecosystems, evaluation, monitoring, traceability, and control of AI agents.
  • Expertise in Python, TypeScript appreciated, APIs, microservices, connectors, complex IT system integration, CI/CD, and DevOps practices.
  • Application architecture, IT system urbanization, Azure/AWS/GCP, Kubernetes/OpenShift, AI platform security, observability, and operations.
  • Leading technical teams, coaching developers, defining standards, building a target vision, and the ability to drive its adoption.
  • Reference architectures and architecture documents.
  • Reusable frameworks, patterns, and components.
  • AI development, testing, and governance standards.
  • IT system integration patterns.
  • Industrializable use cases and scaling roadmap.
  • Architecture guides and technical recommendations.
  • Technology decision records (ADRs).
  • AI agent development and operation methodologies.
  • Demonstration materials and stakeholder support.
  • Over 10 years of experience in software engineering, architecture, or complex technical platforms
  • Hands-on experience with generative AI platforms or large-scale agentic projects
  • Experience supporting development teams and technological transformation
  • Recognized expertise in generative AI and agentic technologies (LLM architectures, single-agent and multi-agent systems, agentic workflow orchestration, RAG, conversational memory)
  • Mastery of AI protocols and governance: MCP, A2A, agentic ecosystems, evaluation, monitoring, traceability, and control of AI agents
  • Development and integration skills: Python, TypeScript appreciated, APIs, microservices, connectors, complex IT system integration, CI/CD, and DevOps practices
  • Knowledge in architecture and cloud: application architecture, IT system urbanization, Azure/AWS/GCP, Kubernetes/OpenShift, AI platform security, observability, and operations
  • Technical leadership: leading technical teams, coaching developers, defining standards, building a target vision, and the ability to drive its adoption
  • Ability to operate in an environment combining rapid innovation, industrialization constraints, and enterprise security requirements
  • Personal qualities: recognized technical leadership, strategic vision for AI platforms, strong innovation capacity, ability to simplify and educate
  • Culture of industrialization, software quality, security, and operations
  • Excellent communication with business, technical, architecture, security, and management teams
  • Ability to unite an ecosystem of stakeholders around a common technical vision

Project details

  • Start: ASAP
  • Duration: 12 mois renouvelable
  • Remote: hybrid
  • Location: Île-de-France, France, FR
  • Languages: French

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