The AI Delivery & Agentic Platform Manager is responsible for governing and driving the end-to-end delivery of Generative AI solutions across the organization, from ideation and architecture through development, production deployment, and operational excellence.

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The role combines strong technical expertise in AI technologies, including RAG, Agentic AI, Multi-Agent Systems, and MCP-based architectures, with delivery leadership and governance responsibilities
Key Responsibilities
- Govern and oversee the full lifecycle of AI initiatives, from use case assessment and solution design to deployment and operational support.
- Own and maintain the AI delivery roadmap, ensuring visibility, prioritization, dependency management, and risk mitigation across all AI initiatives.
- Define and enforce architectural standards, reference architectures, and delivery patterns for Generative AI, RAG, Agentic AI, Multi-Agent, and MCP-based solutions.




- Provide technical guidance and coaching to development teams during solution design, implementation, testing, and production rollout.
- Ensure AI solutions comply with enterprise requirements for security, scalability, resilience, observability, and operational readiness.
- Review AI architectures and implementation approaches, identifying technical risks and improvement opportunities before production deployment.
- Coordinate with platform, cloud, security, data, and operations teams to guarantee successful delivery and service adoption.
- Establish development guidelines, engineering best practices, and quality controls for AI applications and services.
- Drive production readiness activities, including monitoring, evaluation, observability, incident management, support processes, and operational governance.
- Promote the adoption of reusable AI assets, accelerators, frameworks, and

📌 AI Service Delivery (Reggio Emilia)
🏢 Crif
📍 Reggio Emilia