18 set - Reggio Emilia
Crif
Role Overview
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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.
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, an
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