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 technology environment.
- Why this job: Join a dynamic team driving enterprise-wide innovation in AI and data.
- Qualifications: Experience in AI, Data, or Solution Architecture, especially in Banking.
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
- 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 employer: MBN Solutions
Join a leading Financial Services AI & Data consulting practice that values innovation and employee growth. With a competitive salary package, hybrid working options, and a collaborative work culture, we empower our AI Solution Architects to drive transformative projects while enjoying extensive benefits and opportunities for professional development in the vibrant city of London.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect
✨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 led AI or data initiatives. We love hearing about your successes and how you tackled challenges in the banking or capital markets space.
✨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 field.
We think you need these skills to ace AI Solution Architect
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 process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. We can’t wait to see what you bring to the table!
How to prepare for a job interview at MBN Solutions
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI, especially those mentioned in the job description like GenAI, LLMs, and cloud platforms. Being able to discuss these topics confidently will show your expertise and passion for the field.
✨Showcase Your Stakeholder Skills
Prepare examples of how you've successfully managed stakeholders in previous roles. This could include leading discussions or driving engagement during projects. Highlighting your consulting experience will resonate well with the interviewers.
✨Demonstrate Your Problem-Solving Abilities
Be ready to tackle hypothetical scenarios related to AI architecture and data transformation. Think about how you would approach designing scalable solutions or ensuring compliance with regulations. This will showcase your critical thinking and technical skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI initiatives and their approach to cloud-based solutions. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals.
