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 diverse 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 Service Consulting employer: Datatech
Datatech is an exceptional employer that fosters a dynamic and collaborative work culture in the heart of London. With a strong emphasis on employee growth, you will have ample opportunities to mentor and lead a talented team while working on innovative data solutions. The hybrid work model not only promotes flexibility but also encourages a balanced work-life integration, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect - Financial Service Consulting
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in financial services or AI. Attend meetups, webinars, or even online forums to connect with potential employers and get insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI architecture projects, especially those relevant to financial services. This could be anything from case studies to GitHub repositories. Let your work speak for itself!
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI deployment and integration patterns. Be ready to discuss your experience with cloud platforms like AWS or Azure, and how you've tackled challenges in previous roles.
✨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, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Solution Architect - Financial Service Consulting
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: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, as these are key to the role.
Showcase Your Technical Skills:Don’t shy away from listing your technical proficiencies! Mention your experience with Python, LLMs, and any other relevant technologies. We want to see how you can contribute to our projects right from the get-go.
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
✨Know Your AI Architecture Inside Out
Make sure you’re well-versed in the latest AI and ML architectures, especially those relevant to financial services. Brush up on your knowledge of LLMs, RAG, and semantic search, as these will likely come up during your interview.
✨Showcase Your Collaboration Skills
Since the role involves working with various teams like engineering, data, and DevOps, be prepared to discuss examples of how you've successfully collaborated in the past. Highlight any cross-functional projects where you played a key role.
✨Demonstrate Your Problem-Solving Abilities
Be ready to tackle hypothetical scenarios related to AI deployment and integration patterns. Think through your approach to designing scalable solutions and how you would advise clients on implementation strategies.
✨Familiarise Yourself with Cloud Platforms
Given the emphasis on AWS, Azure, and GCP, make sure you understand the strengths and weaknesses of each platform. Be prepared to discuss how you’ve used these technologies in previous roles or projects.
