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 professional growth.
- Other info: Open to all levels, from Manager to Associate Director.
- Why this job: Join a dynamic team transforming 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 in Bolton employer: Datatech Analytics
Join a leading consulting and technology organisation in Manchester, where innovation meets collaboration. We offer a dynamic work culture that fosters professional growth through diverse projects in AI and data transformation within the Financial Services sector. With a hybrid working model and a commitment to employee development, you'll have the opportunity to shape the future of banking technology while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect - FS Consulting - all levels/banking in Bolton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more people you know, the better your chances of landing that AI Solution Architect gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI architecture projects, especially those relevant to financial services. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and ML concepts, especially those mentioned in the job description. Be ready to discuss your experience with cloud platforms and scalable deployments, as these are key in the banking sector.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals at all levels. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI Solution Architect - FS Consulting - all levels/banking in Bolton
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:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Don’t forget to mention specific technologies or methodologies you’ve used that relate to the job description.
Showcase Your Technical Skills:In your application, be sure to highlight your technical expertise, especially in areas like Python, LLMs, and cloud platforms. We want to see how you can contribute to building scalable AI/ML platforms and integrating them into banking environments.
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 what we do at StudySmarter!
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 past experience will show that you can hit the ground running.
✨Showcase Your Cloud Expertise
Since cloud platforms like AWS, Azure, and GCP are crucial for this role, be prepared to talk about your experience with these technologies. Highlight any projects where you’ve successfully integrated AI solutions within these environments to demonstrate your hands-on skills.
✨Communicate Like a Pro
Strong stakeholder engagement is key in this role. Practice articulating complex technical concepts in a way that’s easy to understand. Think about how you can convey your ideas clearly and effectively, especially when discussing AI platform capabilities with clients.
✨Prepare for Collaboration Questions
This position involves working closely with engineering, data, and DevOps teams. Be ready to share examples of how you’ve collaborated in the past, focusing on your ability to bridge gaps between technical and non-technical stakeholders. This will show you’re a team player who can drive projects forward.
