At a Glance
- Tasks: Design and implement cutting-edge AI architectures for financial services.
- Company: Join a leading consulting and technology organisation transforming the financial sector.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with diverse teams and exciting projects.
- Why this job: Be at the forefront of AI innovation and make a real impact in banking.
- Qualifications: Experience in AI architecture and cloud platforms is essential.
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
AI Solution Architect - Financial Services Consulting in Somerset employer: Datatech
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 contributions and supports your career aspirations in a hybrid working environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect - Financial Services Consulting in Somerset
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in financial services consulting. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your AI architecture projects. This is your chance to demonstrate your expertise in Python, LLMs, and scalable AI solutions.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI deployment and integration patterns. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Solution Architect - Financial Services Consulting in Somerset
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! Mention your experience with Python, LLMs, and any tools like Kubernetes or AWS that are relevant to the role. We want to see what you can bring to the table!
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’s super easy!
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 key components for the role. Be ready to discuss how you've applied these technologies in past projects.
✨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 integrated feedback from different stakeholders into your AI solutions.
✨Demonstrate Your Cloud Knowledge
Familiarise yourself with AWS, Azure, and GCP, as well as containerisation and Kubernetes. Be prepared to discuss how you’ve leveraged these platforms in previous roles to deploy AI solutions. Specific examples will help you stand out!
✨Understand Financial Services Regulations
Since this position is within the financial services sector, it’s crucial to have a grasp of the regulatory landscape. Research common compliance issues and be ready to discuss how you would ensure your AI solutions meet these requirements.
