At a Glance
- Tasks: Design and build scalable AI architectures for financial services.
- Company: Leading consulting and technology firm transforming enterprise AI.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Open to various 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 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 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 Service Consulting in Cheltenham employer: Datatech Analytics
As a leading consulting and technology organisation, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our London-based team benefits from hybrid working arrangements, competitive remuneration, and extensive opportunities for professional growth in the rapidly evolving field of AI within Financial Services. Join us to be part of transformative projects that not only enhance your skills but also contribute to the future of banking technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect - Financial Service Consulting in Cheltenham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more people you know, the better your chances of landing that AI Solution Architect gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI architecture projects, especially those related to financial services. This will give you an edge and demonstrate your expertise in designing scalable AI solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with cloud platforms and AI deployment strategies, as well as how you can collaborate effectively with engineering and business teams.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities for AI Solution Architects, and applying directly can help you stand out. Plus, it’s a great way to show your enthusiasm for joining our team!
We think you need these skills to ace AI Solution Architect - Financial Service Consulting in Cheltenham
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:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for this role. Don’t forget to mention your experience with cloud platforms and stakeholder engagement.
Showcase Your Technical Skills:In your application, be sure to highlight your technical expertise, especially in Python, LLMs, and MLOps. Mention any specific tools or frameworks you've used, like LangChain or Kubernetes, to demonstrate your hands-on experience.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to see your application and get you into the conversation about this exciting opportunity!
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, especially in the context of financial services. Brush up on your knowledge of LLMs, RAG, and semantic search, as these are key areas for the role.
✨Showcase Your Cloud Expertise
Be prepared to discuss your experience with cloud platforms like AWS, Azure, or GCP. Highlight specific projects where you’ve implemented AI solutions, focusing on deployment and integration patterns that align with the job description.
✨Engage with Stakeholders
Demonstrate your strong communication skills by sharing examples of how you've successfully engaged with stakeholders in previous roles. This is crucial for advising clients on AI platform capabilities and implementation strategies.
✨Prepare for Technical Questions
Expect technical questions related to MLOps, containerisation, and GPU infrastructure. Brush up on your Python skills and be ready to discuss prompt engineering and fine-tuning techniques, as these will likely come up during the interview.
