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AI Solution Architect - Financial Service Consulting
DatatechLondon🇬🇧United KingdomPosted 20 Jun 2026
Quick Overview
Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior
Job Description
AI Solution Architect - FS Consulting
A leading consulting and technology firm is seeking experienced AI Solution Architects and Technical AI Leaders to help shape enterprise AI and GenAI strategy for major banking clients. Based in Scotland on a hybrid working model, these roles focus on moving AI beyond proof of concept into secure, production-grade deployment across regulated financial environments.
Key Responsibilities
Design AI and GenAI architecture strategies and roadmaps that align with enterprise objectives. Build scalable AI/ML and Agentic AI platforms, working across large language models (LLMs), retrieval-augmented generation (RAG), embeddings, and semantic search. Support AI deployment, governance, and integration patterns, and advise clients on platform capability and implementation strategy. Collaborate closely 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 experience designing enterprise AI or ML architectures, with a strong understanding of cloud and modern data platforms. Demonstrable exposure to scalable AI deployment and integration patterns is essential, as is experience within financial services or another regulated industry. Strong stakeholder engagement and communication skills are required, with the ability to advise at a senior client level.
Seniority levels considered range from Manager to Associate Director, and applications from candidates across this spectrum are welcomed.
A leading consulting and technology firm is seeking experienced AI Solution Architects and Technical AI Leaders to help shape enterprise AI and GenAI strategy for major banking clients. Based in Scotland on a hybrid working model, these roles focus on moving AI beyond proof of concept into secure, production-grade deployment across regulated financial environments.
Key Responsibilities
Design AI and GenAI architecture strategies and roadmaps that align with enterprise objectives. Build scalable AI/ML and Agentic AI platforms, working across large language models (LLMs), retrieval-augmented generation (RAG), embeddings, and semantic search. Support AI deployment, governance, and integration patterns, and advise clients on platform capability and implementation strategy. Collaborate closely 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 experience designing enterprise AI or ML architectures, with a strong understanding of cloud and modern data platforms. Demonstrable exposure to scalable AI deployment and integration patterns is essential, as is experience within financial services or another regulated industry. Strong stakeholder engagement and communication skills are required, with the ability to advise at a senior client level.
Seniority levels considered range from Manager to Associate Director, and applications from candidates across this spectrum are welcomed.
Skills
GCP
AWS
MLOps
Azure
Databricks
Kubernetes
Python
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