AI Solution Architect - Financial Service Consulting in Slough

AI Solution Architect - Financial Service Consulting in Slough

Slough Full-Time 60000 - 80000 € / year (est.) No home office possible
Datatech Analytics

At a Glance

  • Tasks: Design scalable AI architectures and collaborate on innovative financial service projects.
  • Company: Leading consulting and technology organisation in the financial services sector.
  • Benefits: Hybrid work model, 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 60000 - 80000 € 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 - Financial Service Consulting in Slough 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 enjoys hybrid working arrangements, competitive benefits, and ample 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 meaningful advancements in the industry.

Datatech Analytics

Contact Detail:

Datatech Analytics Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Solution Architect - Financial Service Consulting in Slough

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

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 repos – let your work speak for itself!

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, scalable AI deployment, and how you’ve engaged stakeholders in past projects. Practice makes perfect!

Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. 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 - Financial Service Consulting in Slough

AI Architecture Design
Machine Learning (ML)
GenAI Platforms
Large Language Models (LLMs)
Prompt Engineering
Fine-Tuning
Retrieval-Augmented Generation (RAG)

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with AI architectures and any relevant projects you've worked on in financial services. We want to see how your skills align with what we're looking for!

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 the role. Don't forget to mention specific technologies or methodologies you've used that relate to our needs.

Showcase Your Technical Skills:When detailing your experience, be sure to include specific tools and platforms you've worked with, like Python, AWS, or Azure. We love seeing candidates who can demonstrate their technical prowess in scalable AI deployment and integration patterns.

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the right role. 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 designing scalable AI architectures. Brush up on your knowledge of LLMs, RAG, and the latest trends in AI deployment. Being able to discuss specific examples from your past experience will show that you can hit the ground running.

Showcase Your Cloud Expertise

Since the role involves working with cloud platforms like AWS, Azure, and GCP, be prepared to discuss your experience with these technologies. Highlight any projects where you’ve successfully integrated AI solutions into cloud environments, as this will demonstrate your technical prowess.

Engage with Stakeholders

Strong communication skills are key for this role. Think about how you’ve engaged with stakeholders in previous positions. Be ready to share examples of how you’ve advised clients on AI platform capabilities and implementation strategies, as this will showcase your ability to collaborate effectively.

Prepare for Technical Questions

Expect some deep dives into technical aspects during the interview. Brush up on MLOps, containerisation, and GPU infrastructure. Practising answers to potential technical questions will help you feel more confident and articulate during the interview.