:

- Role Purpose:
- Lead the architectural vision, governance and evolution of enterprise-grade Conversational AI and GenAI platforms driving multi-cloud, LLM orchestration and integration design for large-scale telecom ( preferred)) deployments.
- Strong focus on AI/ML and cloud-native platforms.
- Deep expertise in AI services around AWS Kiro & Bedrock — OpenAI, ML PromptFlow, Cognitive Services (CLU, Speech, Q&A;).
- Hands-on experience with LLM orchestration frameworks — LangChain, LangGraph, LangSmith, and RAG patterns.
- Proven ability to design multi-cloud architectures spanning AWS, Azure, and Google Cloud Platform.
- Strong knowledge of graph databases (Neo4j), NoSQL (Cosmos DB, MongoDB), and event-driven architectures (Kafka).




- Experience with DevSecOps toolchains — GitHub Actions, SonarQube, JFrog, shift-left security practices.
- Excellent stakeholder management skills — ability to present architectural decisions to CXO-level audiences.
- Own solution architecture for multi-channel virtual assistant and GenAI-powered agent support platforms.
- Govern data pipelines processing very high volume events via Python ETL to cloud analytics platforms.
- Lead P1/P2 incident escalations and cross-functional war room resolution across platform stack.

📌 Senior AI Engineer (Milano)
🏢 BULL-IT SOLUTIONS
📍 Milano