Senior AI Engineer

BULL-IT SOLUTIONS LTD; Lombardia; On-site; EUR 90,000 - 140,000; Full time

Job summary

BULL-IT SOLUTIONS LTD in Lombardy, Italy, seeks a senior enterprise Architect to steer the architectural vision for Conversational AI and GenAI platforms, spanning multi-cloud orchestration and large-scale telecom deployments. You will own governance, drive cloud-native AI services across AWS/Azure/GCP, lead incident war rooms, and collaborate with CXOs to align technical strategy with business goals.

Strong expertise in LangChain, Neo4j, Kafka and data pipelines is essential.

Qualifications

• Extensive experience designing enterprise AI platforms.
• Proven track record in multi-cloud, large-scale deployments.
• Strong expertise in LLM orchestration and AI services.

Responsibilities

• Define architectural vision and governance for GenAI platforms.
• Lead cross-functional teams to deliver scalable AI services.
• Own data pipelines and P1/P2 incident resolution.
• Present architecture decisions to CXO audiences.

Skills

AI/ML platform architecture

Multi-cloud architecture

LLM orchestration

Stakeholder management

Incident response leadership

Python ETL

Tools

LangChain

LangGraph

LangSmith

AWS

Azure

GCP

Neo4j

Cosmos DB

MongoDB

Kafka

GitHub Actions

SonarQube

JFrog

CI/CD security

Job description

• 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.