AI Solution Architect - FS Consulting - all levels/banking

Datatech AnalyticsManchester, Greater Manchester🇬🇧United KingdomPosted 7 Aug 2026

Why This Role Stands Out

Advance your career by designing cutting-edge AI architectures for major financial services clients in this hybrid role, offering significant growth and skill development opportunities. If you're a seasoned AI/ML professional with experience in enterprise-level solutions and cloud platforms, you'll thrive by shaping the future of AI deployment in banking. Apply today to join a leading technology organization and make a real impact.

Quick Overview

Work Type

Hybrid

Schedule

Full Time

Level

Mid Senior

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.

Skills

GCP

AWS

MLOps

Azure

Databricks

Kubernetes

Python