At a Glance
- Tasks: Design and build scalable AI architectures for banking environments.
- Company: Leading consulting and technology firm transforming financial services with AI.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Open to all levels, from Manager to Associate Director.
- Why this job: Join a dynamic team shaping the future of AI in finance.
- Qualifications: Experience in AI architecture and strong communication skills required.
The predicted salary is between 70000 - 90000 € per year.
We're 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 you'll be doing
- Designing AI and GenAI architecture strategies and roadmaps
- Building scalable AI/ML and Agentic AI platforms
- Working across LLMs, RAG, embeddings and semantic search
- Supporting AI deployment, governance and integration patterns
- Collaborating with engineering, data, DevOps and business teams
- Advising clients on AI platform capability and implementation strategy
Environment
- 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
- Experience designing enterprise AI or ML architectures
- Strong understanding 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
- Open to candidates from Manager through to Associate Director level.
If you're open to a confidential conversation about the AI architecture market, please message me directly.
Locations
AI Solution Architect - FS Consulting - all levels/banking in Cheshire, Warrington employer: Datatech Analytics
Join a leading consulting and technology organisation that champions innovation in the Financial Services sector. With a hybrid work model based in Manchester, we offer a collaborative environment where you can thrive, supported by a culture of continuous learning and professional development. Our commitment to employee growth, coupled with the opportunity to work on cutting-edge AI projects, makes us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect - FS Consulting - all levels/banking in Cheshire, Warrington
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI and Financial Services. Use platforms like LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI architecture projects or any relevant work. This can be a game-changer during interviews, as it gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on key concepts related to AI and ML architectures. Be ready to discuss your experience with cloud platforms and scalable deployment strategies, as these are hot topics in the field right now.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals at all levels. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI Solution Architect - FS Consulting - all levels/banking in Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Solution Architect role. Highlight your experience in designing scalable AI architectures and any relevant projects you've worked on in the financial services sector.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for this position. Be specific about your experience with cloud platforms and AI deployment strategies.
Showcase Your Technical Skills:Don’t shy away from listing your technical proficiencies, especially in Python, LLMs, and MLOps. We want to see your hands-on experience with tools like AWS, Azure, or GCP, so make sure these are front and centre.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Datatech Analytics
✨Know Your AI Architecture Inside Out
Make sure you’re well-versed in the latest AI and ML architectures, especially those relevant to financial services. Brush up on your knowledge of LLMs, RAG, and semantic search, as these are key areas for the role.
✨Showcase Your Cloud Expertise
Be prepared to discuss your experience with cloud platforms like AWS, Azure, or GCP. Highlight specific projects where you’ve designed scalable AI solutions and how you tackled deployment challenges.
✨Engage with Stakeholders
Demonstrate your strong communication skills by discussing how you've successfully engaged with stakeholders in previous roles. Share examples of how you’ve advised clients on AI platform capabilities and implementation strategies.
✨Prepare for Technical Questions
Expect technical questions related to MLOps, containerisation, and Kubernetes. Brush up on these topics and be ready to explain your thought process when designing AI architectures and integration patterns.
