AI Solution Architect - Financial Services Consulting
AI Solution Architect - FS Consulting
Ready to take AI beyond proof of concept? A leading consulting and technology firm is hiring AI Solution Architects and Technical AI Leaders to shape enterprise AI and GenAI strategy for major banking clients, turning ambitious ideas into secure, production-grade deployments across regulated financial environments. Hybrid working, based in Scotland.
What you'll do
Set the AI and GenAI architecture strategy and roadmap. Build scalable AI/ML and Agentic AI platforms spanning LLMs, retrieval-augmented generation (RAG), embeddings and semantic search. Lead on deployment, governance and integration patterns, advise clients on platform capability and implementation strategy, and partner with engineering, data, DevOps and business teams to deliver end-to-end solutions.
Tech environment
Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes and GPU infrastructure.
What we're looking for
Proven enterprise AI or ML architecture design, strong cloud and modern data platform knowledge, and demonstrable experience of scalable AI deployment and integration. Financial services or another regulated industry is essential, along with the stakeholder presence to advise at senior client level.
Applications welcomed from Manager through to Associate Director.
Ready to take AI beyond proof of concept? A leading consulting and technology firm is hiring AI Solution Architects and Technical AI Leaders to shape enterprise AI and GenAI strategy for major banking clients, turning ambitious ideas into secure, production-grade deployments across regulated financial environments. Hybrid working, based in Scotland.
What you'll do
Set the AI and GenAI architecture strategy and roadmap. Build scalable AI/ML and Agentic AI platforms spanning LLMs, retrieval-augmented generation (RAG), embeddings and semantic search. Lead on deployment, governance and integration patterns, advise clients on platform capability and implementation strategy, and partner with engineering, data, DevOps and business teams to deliver end-to-end solutions.
Tech environment
Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes and GPU infrastructure.
What we're looking for
Proven enterprise AI or ML architecture design, strong cloud and modern data platform knowledge, and demonstrable experience of scalable AI deployment and integration. Financial services or another regulated industry is essential, along with the stakeholder presence to advise at senior client level.
Applications welcomed from Manager through to Associate Director.