18 set - Ravenna
Crif
AI Platform Architect
Role Overview
The AI Platform Architect is responsible for designing and leading the evolution of enterprise AI platforms, enabling the delivery of scalable, secure, and production-ready AI solutions across multiple business domains. The role focuses on Generative AI technologies, including RAG, Agentic AI, Multi-Agent Systems, and MCP-based architectures, leveraging platforms such as AWS Bedrock, Azure AI Foundry, and other emerging AI ecosystems. The architect defines reference architectures, governance standards, observability practices, and operational frameworks, while continuously exploring new technologies and transforming innovative AI concepts into enterprise-grade capabilities.
Key Responsibilities
- Lead the design and industrialization of Generative AI and Agentic AI solutions from prototype to production.
- Deliver enterprise-scale RAG, Agentic, Multi-Agent, and MCP-based architectures.
- Explore, evaluate, and integrate emerging AI technologies, frameworks, and foundation models into the enterprise AI ecosystem.
- Build reusable AI patterns,
accelerators, and platform capabilities that enable rapid adoption across multiple business domains.
- Define standards for AI engineering, observability, evaluation, governance, security, and reliability.
- Work closely with data, software, cloud, and business teams to transform AI use cases into production services.
- Drive continuous experimentation and innovation while maintaining enterprise-grade quality, security, and compliance standards.
- Mentor teams and promote best practices around modern AI architectures, cloud-native platforms, and operational AI.
Required Skills
- Proven experience designing and delivering AI-based solutions in production environments.
- Hands-on experience with Generative AI platforms such as Azure AI Foundry, AWS Bedrock, or equivalent AI ecosystems.
- Strong experience implementing and operating RAG (Retrieval-Augmented Generation) architectures in enterpris
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