At a Glance
- Tasks: Design and build scalable AI architectures for financial services.
- Company: Leading consulting and technology organisation in AI transformation.
- Benefits: Hybrid work, competitive salary, and opportunities for career advancement.
- Other info: Open to various experience levels, from Manager to Associate Director.
- Why this job: Join a dynamic team shaping the future of AI in banking.
- Qualifications: Experience in AI architecture and strong communication skills required.
The predicted salary is between 60000 - 80000 € 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 - Financial Services Consulting in Dunfermline, Fife employer: Datatech Analytics
As a leading consulting and technology organisation in Scotland, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and opportunities to work on cutting-edge AI projects within the financial services sector. Join us to be part of a forward-thinking team that values your expertise and offers a hybrid working environment for a balanced lifestyle.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect - Financial Services Consulting in Dunfermline, Fife
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI and financial services. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. 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, especially those relevant to financial services. Use platforms like GitHub to share your code and designs. This gives potential employers a taste of what you can do beyond just a CV.
✨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. Practice articulating your thought process when designing AI architectures.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you a leg up in the hiring process. So, get your application in and let’s make some AI magic happen!
We think you need these skills to ace AI Solution Architect - Financial Services Consulting in Dunfermline, Fife
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 financial services.
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 the tools and technologies mentioned in the job description.
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 shows us you’re keen on joining our team!
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 the role involves working with AWS, Azure, and GCP, be prepared to discuss your experience with these platforms. Highlight any projects where you’ve successfully integrated AI solutions in a cloud environment, as this will demonstrate your technical prowess.
✨Communicate Like a Pro
Strong stakeholder engagement is key in this role. Practice articulating complex AI concepts in simple terms. This will not only showcase your communication skills but also your ability to collaborate effectively with engineering and business teams.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you’ve faced in previous roles, especially in financial services, and how you overcame them. This will help you stand out as a candidate who can navigate the complexities of AI deployment.
