AI Solution Architect in London

AI Solution Architect in London

London Full-Time 65000 - 115000 £ / year (est.) No working from home possible
MBN Solutions

At a Glance

  • Tasks: Design and deliver innovative AI solutions for major financial clients.
  • Company: Leading Financial Services AI & Data consulting practice with a focus on transformation.
  • Benefits: Competitive salary, cash bonus, extensive package, and hybrid work options.
  • Other info: Exciting growth opportunities in a cutting-edge AI & Data practice.
  • Why this job: Join a dynamic team driving enterprise-wide innovation in AI and data.
  • Qualifications: Experience in banking, AI architecture, and cloud-based solutions required.

The predicted salary is between 65000 - 115000 £ per year.

Roles range from £65,000 up to £115,000 + £6K Cash + Bonus + Extensive Package London Hybrid | Up to 3 days/week on client site.

We’re hiring multiple AI Solution Architects across Manager, Senior Manager, and Associate Director level within a leading Financial Services AI & Data consulting practice. This team delivers large-scale AI, Data, and cloud transformation programmes for major Banking and Capital Markets clients, helping organisations modernise platforms, implement GenAI solutions, and drive enterprise-wide innovation.

Key Responsibilities
  • Design and deliver scalable AI/ML and GenAI architectures
  • Lead enterprise AI and data transformation programmes
  • Work closely with business, engineering, data, and architecture teams
  • Support cloud-based AI deployments across AWS, Azure, and GCP
  • Drive AI governance, security, and regulatory compliance
  • Lead stakeholder engagement and technical design discussions
  • Support bids, proposals, and go-to-market initiatives
Key Experience
  • Strong Banking and/or Capital Markets experience
  • AI, Data, or Solution Architecture background
  • Experience delivering cloud-based AI/ML solutions across major cloud platforms and vendor technologies, including Google PaLM, Vertex AI, Azure OpenAI Services, AzureML, AWS Bedrock, Sagemaker, Dataiku, Databricks, Snowflake SnowPark, Snowflake Cortex, Data Robot
  • Experience with cloud and modern data platforms
  • Knowledge of GenAI, LLMs, RAG, vector databases, and MLOps
  • Technologies such as Databricks, Snowflake, Azure ML, SageMaker, LangChain, Kubernetes, or similar
  • Strong stakeholder management and consulting experience

Excellent opportunity to join a growing AI & Data practice delivering cutting-edge transformation programmes across Financial Services.

AI Solution Architect in London employer: MBN Solutions

Join a leading Financial Services AI & Data consulting practice that not only offers competitive salaries ranging from £65,000 to £115,000 plus bonuses and an extensive benefits package but also fosters a collaborative and innovative work culture. With opportunities for professional growth and the chance to work on transformative AI projects in a hybrid environment, this role is perfect for those looking to make a significant impact while enjoying a supportive team atmosphere in London.

MBN Solutions

Contact Details:

MBN Solutions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Solution Architect in London

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.

Tip Number 2

Prepare for those interviews! Research the company and its projects, especially in AI and data transformation. We want you to be able to discuss how your experience aligns with their needs, so brush up on your knowledge of cloud platforms and GenAI solutions.

Tip Number 3

Showcase your skills through real-world examples. When discussing your past experiences, focus on specific projects where you’ve designed scalable AI architectures or led transformation programmes. We love hearing about your successes and how you tackled challenges!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who are ready to make an impact in the AI & Data space.

We think you need these skills to ace AI Solution Architect in London

AI/ML Architecture Design
GenAI Solutions Implementation
Cloud-Based AI Deployments
AWS
Azure
GCP
Stakeholder Engagement

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the AI Solution Architect role. Highlight your experience in AI, Data, and cloud transformation programmes, especially in Banking and Capital Markets. 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 our team. Don’t forget to mention any relevant projects or achievements that showcase your expertise.

Showcase Your Technical Skills:We’re keen on seeing your technical prowess! Make sure to include specific technologies and platforms you’ve worked with, like AWS, Azure, or GCP. Mention any experience with GenAI solutions or MLOps to really stand out.

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at MBN Solutions

Know Your AI Inside Out

Make sure you brush up on the latest trends in AI, especially around GenAI and cloud-based solutions. Be ready to discuss specific projects you've worked on that involved AI/ML architectures, as well as your experience with platforms like AWS, Azure, and GCP.

Showcase Your Stakeholder Skills

Since this role involves a lot of stakeholder engagement, prepare examples that highlight your ability to manage relationships and lead discussions. Think about times when you successfully navigated complex conversations or drove consensus among diverse teams.

Demonstrate Your Technical Expertise

Be prepared to dive deep into technical discussions. Familiarise yourself with the tools and technologies mentioned in the job description, such as Databricks, Snowflake, and MLOps. You might be asked to solve a problem on the spot, so practice articulating your thought process clearly.

Align with Their Vision

Research the company’s recent projects and initiatives in AI and data transformation. Show how your background aligns with their goals and how you can contribute to their success. This will demonstrate your genuine interest in the role and the organisation.