An organization in the insurance sector is looking for an AI Agentic Architect & Tech Lead AI Platform to structure, design, and industrialize the use of generative artificial intelligence and agentic architectures across the enterprise, as part of a strategic transformation and modernization program of the information system.
The consultant will work within multidisciplinary teams to define technical standards, guide architectural choices, and contribute to the production of robust, secure, and scalable AI solutions.
What you do
- Define reference architectures for generative AI solutions and agentic systems
- Design integration models between AI platforms and the information system
- Develop industrialization roadmaps for AI solutions, from POC to production
- Identify and evaluate the most suitable technologies, frameworks, and components for business needs
- Design and support the implementation of complex agentic workflows
- Define mono-agent and multi-agent orchestration mechanisms
- Participate in the design of RAG architectures, context management, conversational memory, and agent supervision
- Contribute to the adoption of emerging market standards (MCP, A2A, etc.)
- Define development, testing, observability, and governance standards for AI solutions
- Implement monitoring, traceability, quality control, and supervision mechanisms for AI usage
- Ensure the integration of security, compliance, and operational requirements
- Challenge the technical and architectural choices of project teams and partners
- Support development teams in their technical decisions
- Define best practices, frameworks, and reusable components
- Carry the target vision and promote its adoption among various stakeholders
What they ask
- More than 10 years of experience in software engineering, architecture, or complex technical platforms
- Significant experience in generative AI projects or agentic systems in an industrial environment
- Solid experience in supporting development teams and technological transformation programs
- Ability to evolve in contexts combining innovation, industrialization, and high security requirements
What they ask
- LLM and generative AI architectures
- Mono-agent and multi-agent AI agents
- Orchestration of agentic workflows
- RAG (Retrieval Augmented Generation)
- Context management and conversational memory
- MCP, A2A protocols and emerging standards
- Evaluation and monitoring of AI systems
- Traceability, observability, and control of AI agents
- Essential Python expertise
- APIs, microservices, and service-oriented architectures
- Integration of complex IT systems
- CI/CD and DevOps practices
- Application architecture and SI urbanization
- Azure, AWS, or GCP environments
- Kubernetes, OpenShift, or equivalent platforms
- Security of AI platforms
- Observability and operations
- Animation and coordination of technical teams
- Coaching and support for developers
- Definition of standards and best practices
- Ability to build and disseminate a target architecture vision
Preferences.
- TypeScript
- Cloud
- K8S
- Openshift
Deliverables.
- Reference architectures and architecture dossiers
- Reusable frameworks, components
- Development, testing, and AI governance standards
- Integration patterns with the information system
- Architecture Decision Records (ADR)
- Technical guides and architecture recommendations
- Development and operation methodologies for AI agents
- Industrializable use cases and scaling roadmaps
- Demonstration support and stakeholder engagement
Qualities.
- Recognized technical leadership
- Strategic vision for AI platforms
- Strong analytical and decision-making skills
- Excellent communication and popularization skills
- Culture of software quality, operations
- Ability to unite business, technical, and organizational stakeholders around a common vision
How to apply
View the full assignment text and application details once your tailored application is ready.
Order a tailored application to view the full assignment and application details.
More context, less searching.
You get enough context to judge whether this job is relevant. The full brief, client details and next steps stay available inside the app.