At a Glance
- Tasks: Design and deliver innovative AI architectures for major banking clients.
- Company: Leading Financial Services AI & Data consulting practice.
- Benefits: Competitive salary, cash bonus, extensive package, and hybrid work options.
- Other info: Exciting opportunity for career growth in a cutting-edge AI & Data practice.
- Why this job: Join a dynamic team driving enterprise-wide innovation in AI and cloud transformation.
- 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
- 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.
GenAI Cloud AI Architect — Banking & Finance employer: MBN Solutions
Join a leading Financial Services AI & Data consulting practice that champions innovation and transformation in the banking sector. With a competitive salary package, hybrid working model, and a culture that fosters collaboration and professional growth, this role offers you the chance to work on impactful projects while developing your expertise in cutting-edge AI technologies. Experience a supportive environment where your contributions are valued, and seize the opportunity to advance your career in a dynamic and rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Cloud AI Architect — Banking & Finance
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the banking and finance sector. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your skills! Create a portfolio or a personal website that highlights your AI/ML projects and cloud solutions. This is your chance to demonstrate your expertise in GenAI and modern data platforms, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and stakeholder management skills. Be ready to discuss how you've led AI transformation programmes and tackled challenges in previous roles. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s a great way to show your enthusiasm for joining our team at StudySmarter!
We think you need these skills to ace GenAI Cloud AI Architect — Banking & Finance
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the GenAI Cloud AI Architect role. Highlight your experience in banking and capital markets, and showcase any relevant AI/ML projects you've worked on. We want to see how your skills align with our needs!
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 specific technologies or projects that relate to the role.
Showcase Your Technical Skills:In your application, be sure to highlight your experience with cloud platforms like AWS, Azure, and GCP. Mention any tools or technologies you’ve used, such as Databricks or Snowflake, to demonstrate your hands-on expertise.
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 shows you’re keen on joining our awesome team at StudySmarter!
How to prepare for a job interview at MBN Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Google PaLM, Azure OpenAI Services, and Databricks. Brush up on your knowledge of GenAI, LLMs, and MLOps to show you’re not just familiar but can also discuss their practical applications.
✨Showcase Your Banking Experience
Since this role is focused on Banking and Capital Markets, be ready to share specific examples from your past experiences. Highlight projects where you’ve led AI or data transformation initiatives, and how they benefited the organisation. This will demonstrate your relevance and expertise.
✨Engage with Stakeholders
Prepare to discuss how you’ve managed stakeholder engagement in previous roles. Think of examples where you’ve led technical design discussions or collaborated with cross-functional teams. This will showcase your consulting experience and ability to drive projects forward.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions that show your interest in the company’s AI strategy and future projects. Inquire about their approach to AI governance and compliance, or how they envision the evolution of cloud-based solutions in the banking sector. This shows you’re thinking ahead and are genuinely interested in contributing.
