At a Glance
- Tasks: Design and build scalable AI architectures for financial services.
- Company: Leading consulting and technology organisation in AI transformation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a dynamic team with exciting projects and career advancement.
- Why this job: Shape the future of AI in banking and make a real impact.
- Qualifications: Experience in AI architecture and cloud platforms required.
The predicted salary is between 70000 - 90000 € per year.
AI Solution Architects are 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
AI Solution Architect - Financial Services Consulting in Edinburgh employer: Datatech
As a leading consulting and technology organisation, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from extensive growth opportunities within the rapidly evolving field of AI and financial services, supported by a commitment to professional development and cutting-edge projects. Located in a vibrant area, we offer a stimulating environment where talented individuals can thrive and make a meaningful impact on the future of banking technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect - Financial Services Consulting in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI architecture projects or any relevant work. We want to see your thought process and how you tackle challenges, so don’t hold back on sharing your successes and learnings.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with AI/ML architectures. We recommend practising common interview questions and even doing mock interviews with friends to build your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and genuinely interested in joining our team.
We think you need these skills to ace AI Solution Architect - Financial Services Consulting in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific 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 your experience with cloud platforms and any relevant technologies like Python, LLMs, or MLOps.
Showcase Your Technical Skills:In your application, don't shy away from detailing your technical expertise. Mention specific tools and frameworks you've used, such as Kubernetes or vector databases, and how they relate to the role you're applying for.
Apply Through Our Website:We encourage you to apply directly through our website. This way, your application will be processed more efficiently, and you'll have access to all the latest updates regarding your application status.
How to prepare for a job interview at Datatech
✨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 semantic search, as these are crucial for the role. Be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Collaboration Skills
This role involves working closely with engineering, data, and business teams. Prepare examples that highlight your ability to collaborate effectively. Think about times when you’ve successfully navigated cross-functional teams to deliver a project.
✨Demonstrate Your Cloud Expertise
Familiarise yourself with AWS, Azure, and GCP, as well as containerisation and Kubernetes. Be prepared to discuss how you’ve used these platforms in past projects, especially in relation to AI deployment and governance.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your experience with AI/ML architectures and deployment patterns. Practice articulating your thought process and decision-making in previous roles, particularly in regulated environments like Financial Services.
