At a Glance
- Tasks: Design and build scalable AI architectures for banking environments.
- Company: Leading consulting and technology firm transforming financial services with AI.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- 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.
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 Warrington employer: Datatech Analytics
Join a leading consulting and technology organisation that champions innovation in the Financial Services sector. With a hybrid work model, we foster a collaborative environment where your expertise in AI architecture will thrive, supported by continuous professional development and a commitment to employee growth. Our Manchester location offers a vibrant tech community, ensuring you are at the forefront of cutting-edge AI solutions while enjoying a balanced work-life culture.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect - FS Consulting - all levels/banking in Warrington
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI and Financial Services. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with AI architectures, cloud platforms, and any projects you've worked on. This is your chance to shine and demonstrate how you can add value to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with LLMs, MLOps, and scalable AI deployment. Practice common interview questions and think of examples that showcase your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities for AI Solution Architects at all levels. Keep an eye on our listings and make sure your application stands out by tailoring it to the specific role you’re after.
We think you need these skills to ace AI Solution Architect - FS Consulting - all levels/banking in Warrington
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 relate to scalable deployment or integration patterns 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 you’re interested in. Plus, it’s super easy!
How to prepare for a job interview at Datatech Analytics
✨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 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 designed scalable AI solutions and how you tackled deployment challenges.
✨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 in consulting, so be ready to discuss how you’ve navigated complex client relationships.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your understanding of MLOps and LLMOps. Brush up on containerisation and Kubernetes, and be ready to explain how you would approach integrating AI solutions within a banking environment.
