At a Glance
- Tasks: Lead teams to design and deliver AI-powered solutions for financial management.
- Company: Join a leading tech-driven bank focused on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Work with cutting-edge technologies and drive innovation in the finance sector.
- Why this job: Make an impact by bridging data architecture and AI in a dynamic environment.
- Qualifications: Strong AI knowledge and experience in fast-paced delivery teams required.
The predicted salary is between 70000 - 90000 £ per year.
The Solution Architect & AI Manager will bridge the gap between complex data architecture and cutting-edge AI implementation. You will be responsible for the strategic delivery of the AIPX framework within the Balance Sheet Management (BSM) domain, ensuring that AI-driven insights are built on a foundation of robust, scalable, and high-performance engineering.
Key Responsibilities:
- Lead cross-functional engineering teams to design, build, and deliver data-intensive platforms and AI-powered solutions aligned to strategic business needs.
- Oversee end-to-end delivery across the data and AI lifecycle for Balance Sheet Management (BSM) - from data ingestion and modelling through to ML model development, deployment, and ongoing monitoring.
- Act as the AIPX Delivery Manager by leading the design and build of robust data pipelines and the creation of high-quality derived data products, ensuring alignment with AIPX architecture, performance standards, and business consumption needs.
- Provide strong technical direction across data architecture, cloud engineering, and AI/ML capabilities to ensure scalable, secure, and well-governed solutions.
- Collaborate with product owners, data teams, and business stakeholders to prioritise backlogs, manage risks, and translate requirements into actionable technical plans.
- Establish and enforce engineering best practices - including coding standards, DevOps/MLOps pipelines, testing frameworks, and documentation - to ensure high-quality delivery.
- Drive innovation by evaluating emerging data and AI technologies, leading proofs of concept, and embedding responsible AI principles across all project work.
- Maintain strong knowledge of big application development and demonstrate an ability to work effectively across the various tech teams of the bank.
Knowledge/XP Required:
- Strong knowledge of AI techniques and approaches, with a proven track record of successfully applying AI in previous professional roles.
- Expertise in AI tools and frameworks to accelerate delivery from 'idea to value.'
- Deep understanding of Gen AI models/LLMs, with the ability to ascertain and justify which models to apply to particular financial use-cases.
- Experience in following best-practice delivery and production support within a highly regulated organization.
- Proven experience running fast-paced delivery teams with close alignment to business functions and stakeholder requirements.
- Knowledge of Agentic Workflow/orchestration is considered a distinct advantage.
- Familiarity with spec-driven development and new AI engineering practices to deliver an automated SDLC is an advantage.
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Solution Architect/ AI Manager employer: Randstad Technologies
As a leading employer in the financial technology sector, we offer an innovative work environment where creativity and technical expertise thrive. Our commitment to employee growth is evident through continuous learning opportunities and a collaborative culture that encourages cross-functional teamwork. Located in a vibrant city, we provide competitive benefits and a dynamic atmosphere that fosters both personal and professional development, making us an excellent choice for those seeking meaningful and rewarding careers in AI and data architecture.
StudySmarter Expert Advice🤫
We think this is how you could land Solution Architect/ AI Manager
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in AI and data architecture. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those tricky interview questions! Research common queries for Solution Architects and AI Managers, and practice your responses. We want you to feel confident and ready to impress.
✨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 love seeing candidates who are proactive!
We think you need these skills to ace Solution Architect/ AI Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Solution Architect/AI Manager. Highlight your experience with AI techniques and data architecture, and don’t forget to mention any relevant projects that showcase your skills in delivering AI-powered solutions.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Talk about your passion for AI and how your previous experiences align with the responsibilities outlined in the job description.
Showcase Your Technical Skills:Don’t hold back on your technical expertise! Make sure to list your knowledge of AI tools, cloud engineering, and any experience with Gen AI models. This will help us see how you can contribute to our team right from the get-go.
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 ensure it gets the attention it deserves!
How to prepare for a job interview at Randstad Technologies
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI techniques and tools. Be ready to discuss how you've applied these in previous roles, especially in relation to financial use-cases. This will show that you not only understand the theory but can also translate it into practical solutions.
✨Showcase Your Leadership Skills
As a Solution Architect & AI Manager, you'll be leading cross-functional teams. Prepare examples of how you've successfully managed teams in the past, particularly in fast-paced environments. Highlight your ability to align technical plans with business needs and stakeholder requirements.
✨Understand the AIPX Framework
Familiarise yourself with the AIPX framework and its application within Balance Sheet Management. Be prepared to discuss how you would ensure AI-driven insights are built on robust data architecture. This shows you're not just a techie but also understand the strategic side of the role.
✨Emphasise Best Practices
Be ready to talk about engineering best practices you've implemented in previous roles. Discuss coding standards, DevOps/MLOps pipelines, and testing frameworks. This will demonstrate your commitment to high-quality delivery and your ability to enforce these standards across teams.
