At a Glance
- Tasks: Design and build scalable AI architectures for banking environments.
- Company: Leading consulting and technology organisation in Financial Services.
- Benefits: Hybrid work model, competitive salary, and opportunities for career advancement.
- Other info: Open to all levels, from Manager to Associate Director.
- Why this job: Join a dynamic team shaping the future of AI in finance.
- 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 - FS Consulting - all levels/banking in Manchester 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 - FS Consulting - all levels/banking in Manchester
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even casual coffee chats. The more people you know, the better your chances of landing that AI Solution Architect gig.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your AI architecture projects or any relevant work. This will help us see your capabilities in action and make you stand out.
✨Tailor Your Approach
When reaching out to potential employers, customise your message to highlight how your skills align with their needs. Mention specific technologies like Python, LLMs, or MLOps that are relevant to the role.
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at getting noticed. We love seeing candidates who take the initiative and show genuine interest in joining our team!
We think you need these skills to ace AI Solution Architect - FS Consulting - all levels/banking in Manchester
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 AI architectures and working with cloud platforms, as these are key for us.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in financial services and how your background makes you a great fit for our team. Keep it engaging and relevant!
Showcase Your Projects:If you've worked on any AI or ML projects, be sure to mention them! We love seeing real-world applications of your skills, especially if they involve scalable deployments or innovative solutions in banking.
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 you’re keen to join our team!
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 areas for the role. Be ready to discuss how you've applied these concepts in previous projects.
✨Showcase Your Cloud Expertise
Since cloud platforms like AWS, Azure, and GCP are crucial for this position, highlight your experience with them. Prepare examples of how you've leveraged these technologies to enhance AI deployment and integration patterns in past roles.
✨Communicate Like a Pro
Strong stakeholder engagement is essential, so practice articulating complex technical concepts in simple terms. Think about how you can explain your strategies and roadmaps clearly to both technical and non-technical audiences.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to AI architecture in financial services. Think through potential scenarios and how you would approach them, focusing on governance, integration, and collaboration with various teams.
