AI Solution Architect - FS Consulting - all levels/banking
Job Description
AI Solution Architects andamp; 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 andamp; 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 andamp; 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.