At a Glance
- Tasks: Design and build scalable AI architectures for financial services.
- Company: Leading consulting and technology organisation with a focus on AI transformation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Open to various experience levels, from Manager to Associate Director.
- Why this job: Join a dynamic team and shape the future of AI in banking.
- Qualifications: Experience in AI deployment, cloud platforms, and strong communication skills.
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
Technical Skills:
- Python
- LLMs, prompt engineering, fine-tuning, RAG
- LangChain, LangGraph, Agent frameworks
- Vector databases and semantic search
- MLOps and LLMOps
- Containerisation, Kubernetes and GPU infrastructure
Requirements:
- 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.
AI Solution Architect in Manchester 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 hybrid work model allows for flexibility while providing ample opportunities for professional growth in the rapidly evolving field of AI and data transformation. Join us in London, Manchester, or Scotland, where you'll be part of a team dedicated to delivering impactful solutions in the financial services sector, supported by a commitment to employee development and a focus on cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI architecture projects. We want to see your work in action, so make sure it’s easy to access and highlights your best achievements.
✨Tip Number 3
Prepare for those interviews! Research the company and their AI initiatives. We suggest practising common interview questions related to AI deployment and integration patterns to really impress them.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Solution Architect in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the AI Solution Architect role. Highlight your experience with AI architectures, Python, 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 achievements and how they relate to the job description.
Showcase Your Technical Skills:Don’t shy away from listing your technical skills! Mention your experience with LLMs, MLOps, and any tools like Kubernetes or vector databases. We want to see how you can contribute to our AI architecture strategies.
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 Analytics
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI technologies, especially LLMs and prompt engineering. Brush up on your knowledge of scalable AI architectures and be ready to discuss how you would design and implement these in a financial services context.
✨Showcase Your Collaboration Skills
Since the role involves working with various teams, prepare examples that highlight your experience in cross-functional collaboration. Think about times when you’ve successfully engaged with engineering, data, or DevOps teams to deliver a project.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions. Be ready to explain concepts like MLOps, containerisation, and GPU infrastructure. Practise articulating complex ideas clearly, as strong communication skills are key in this role.
✨Understand the Financial Services Landscape
Familiarise yourself with the specific challenges and regulations in the financial services sector. Be prepared to discuss how your AI solutions can address these issues and improve client outcomes, demonstrating your industry knowledge.
