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AI Solution Architect - FS Consulting - all levels/banking
- Aggregated by CV-Library
- Manchester
- Permanent
- Full Time
Job Description
AI Solution Architects & Technical AI Leaders
Manchester | Hybrid
AI Solution Architect- Financial Services (Hybrid)
Join a leading consulting and technology firm shaping enterprise AI and GenAI strategy for major banking clients - moving AI beyond proof of concept into secure, production-grade deployment.
The role:
- Design AI and GenAI architecture strategies and roadmaps
- Build scalable AI/ML and Agentic AI platforms
- Work across LLMs, RAG, embeddings and semantic search
- Support AI deployment, governance and integration patterns
- Collaborate with engineering, data, DevOps and business teams
- Advise clients on AI platform capability and implementation strategy
Tech environment:
Python · LLMs (prompt engineering, fine-tuning, RAG) · LangChain/LangGraph · Agent frameworks · Vector databases · MLOps/LLMOps · AWS/Azure/GCP/Databricks · Kubernetes & GPU infrastructure
What you'll bring:
- Experience designing enterprise AI or ML architectures
- Strong grasp of cloud and modern data platforms
- Exposure to scalable AI deployment and integration patterns
- Financial Services or regulated industry experience (essential)
- Strong stakeholder engagement and communication skills
Levels:Manager to Associate Director
Open to a confidential chat about the AI architecture market? Apply or get in touch directly
Manchester | Hybrid
AI Solution Architect- Financial Services (Hybrid)
Join a leading consulting and technology firm shaping enterprise AI and GenAI strategy for major banking clients - moving AI beyond proof of concept into secure, production-grade deployment.
The role:
- Design AI and GenAI architecture strategies and roadmaps
- Build scalable AI/ML and Agentic AI platforms
- Work across LLMs, RAG, embeddings and semantic search
- Support AI deployment, governance and integration patterns
- Collaborate with engineering, data, DevOps and business teams
- Advise clients on AI platform capability and implementation strategy
Tech environment:
Python · LLMs (prompt engineering, fine-tuning, RAG) · LangChain/LangGraph · Agent frameworks · Vector databases · MLOps/LLMOps · AWS/Azure/GCP/Databricks · Kubernetes & GPU infrastructure
What you'll bring:
- Experience designing enterprise AI or ML architectures
- Strong grasp of cloud and modern data platforms
- Exposure to scalable AI deployment and integration patterns
- Financial Services or regulated industry experience (essential)
- Strong stakeholder engagement and communication skills
Levels:Manager to Associate Director
Open to a confidential chat about the AI architecture market? Apply or get in touch directly