At a Glance
- Tasks: Design and build scalable AI architectures for financial services.
- Company: Leading consulting and technology organisation transforming AI in finance.
- 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.
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 - Financial Services Consulting in Livingston employer: Datatech Analytics
Join a leading consulting and technology organisation in Scotland, where innovation meets collaboration. As an AI Solution Architect, you'll thrive in a hybrid work environment that fosters professional growth and offers opportunities to design cutting-edge AI architectures for the financial services sector. With a strong emphasis on employee development, a supportive culture, and access to the latest technologies, this company is dedicated to empowering its team to make a meaningful impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect - Financial Services Consulting in Livingston
✨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 you've done. 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 your knowledge of LLMs, MLOps, and cloud platforms. Practice explaining complex concepts in simple terms, as communication is key when collaborating with teams and advising clients.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace AI Solution Architect - Financial Services Consulting in Livingston
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:For the best chance of getting noticed, make sure to apply through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
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.
✨Engage with Stakeholders
Strong communication skills are key in this role. Think about how you’ve previously engaged with stakeholders and how you can translate complex AI concepts into layman's terms. Prepare some anecdotes that showcase your ability to collaborate effectively with both technical and non-technical teams.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on MLOps, containerisation, and GPU infrastructure. Practising common technical questions related to AI architecture will help you feel more confident and articulate during the interview.
