AI Solution Architect - Financial Service Consulting
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Role details
Tech stack
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Job description
Weāre supporting a major consulting and technology organisation delivering enterprise AI and data transformation programmes across Financial Services
The focus is designing scalable AI architectures that move beyond proof of concept into secure, production-grade deployment across banking environments.
Hiring across multiple levels, from Solution Architects through to senior technical leadership.
What youāll be doing
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Designing AI and GenAI architecture strategies and roadmaps
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Building scalable AI/ML and Agentic AI platforms
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Working across LLMs, RAG, embeddings and semantic search
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Supporting AI deployment, governance and integration patterns
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Collaborating with engineering, data, DevOps and business teams
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Advising clients on AI platform capability and implementation strategy
Requirements
Python
LLMs, prompt engineering, fine-tuning, RAG
LangChain, LangGraph, Agent frameworks
Vector databases and semantic search
MLOps and LLMOps
AWS, Azure, GCP, Databricks
Containerisation, Kubernetes and GPU infrastructure
Requirements
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Experience designing enterprise AI or ML architectures
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Strong understanding of cloud and modern data platforms
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Exposure to scalable AI deployment and integration patterns
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Financial Services or regulated industry experience essential
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Strong stakeholder engagement and communication skills
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