Shape enterprise AI architecture in London with Java, Spring Boot, agentic workflows, and LLM integrations in a hybrid work environment.
As Principal AI Solutions Architect, you will report to the VP of Software Engineering. You will guide intelligent services across enterprise technology, applying AI patterns to practical, scalable solutions. Your work spans cloud, hybrid, and distributed systems while supporting AI transformation strategy.
Key Responsibilities: Define enterprise AI architecture strategy and agentic workflow patterns
Architect Java, Spring Boot, Spring AI, and microservices solutions
Align AI initiatives with enterprise architecture and security standards
Define governance, observability, responsible AI, and model lifecycle controls




Mentor technical teams and advise senior technology leadership
Requirements: Several years of software engineering and architecture experience
Five plus years designing large-scale distributed systems
Experience with RAG, LLM integration, vector databases, and orchestration
Cloud-native and hybrid-cloud experience with Kubernetes and CI/CD
Strong communication across complex, matrixed organizations
Apply enterprise architecture leadership, Java expertise, and up-to-date AI patterns to Nasdaq’s intelligent services strategy in London.

📌 Principal enterprise ai architect (Kingston)
🏢 Nasdaq
📍 Kingston