At a Glance
- Tasks: Design and build scalable AI architectures for banking environments.
- Company: Leading consulting and technology organisation in Financial Services.
- Benefits: Hybrid work model, competitive salary, and opportunities for career advancement.
- 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.
AI Solution Architect - FS Consulting - all levels/banking employer: Datatech Analytics
As a leading consulting and technology organisation, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our Manchester office offers a hybrid working model, providing employees with the flexibility to balance their professional and personal lives while engaging in cutting-edge AI projects within the Financial Services sector. With a strong emphasis on employee growth, we provide ample opportunities for career advancement and skill development, making us an excellent employer for those looking to make a meaningful impact in the world of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect - FS Consulting - all levels/banking
✨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
Showcase your skills! Create a portfolio or GitHub repository that highlights your projects related to AI architecture and deployment. This gives potential employers a tangible look at what you can do, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with cloud platforms, scalable AI solutions, and how you've collaborated with cross-functional teams in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace AI Solution Architect - FS Consulting - all levels/banking
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 sure to mention specific technologies or methodologies you've used, like LLMs or MLOps, to show you know your stuff!
Showcase Your Communication Skills:As a Solution Architect, you'll need to engage with various stakeholders. In your application, demonstrate your strong communication skills by clearly articulating your thoughts and experiences. This will help us see how you can collaborate effectively with teams.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Datatech Analytics
✨Know Your AI Architecture Inside Out
Make sure you’re well-versed in designing scalable AI architectures. Brush up on your knowledge of LLMs, RAG, and the latest trends in AI deployment. Being able to discuss specific examples from your experience will show that you’re not just familiar with the concepts but can apply them effectively.
✨Showcase Your Collaboration Skills
Since this role involves working closely with engineering, data, and business teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve engaged stakeholders to drive projects forward.
✨Demonstrate Your Cloud Knowledge
Familiarise yourself with cloud platforms like AWS, Azure, and GCP, as well as containerisation and MLOps practices. Be ready to discuss how you’ve leveraged these technologies in previous roles to enhance AI solutions, as this will be crucial for the position.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your understanding of AI and ML architectures. Practice explaining complex concepts in simple terms, as you may need to advise clients on implementation strategies. This will showcase your expertise and ability to communicate effectively.
