At a Glance
- Tasks: Shape the future of AI in Financial Services and architect enterprise AI strategies.
- Company: Global consulting and technology organisation leading AI transformation.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Join a curious, collaborative team passionate about mentoring and innovation.
- Why this job: Influence major organisations and define responsible, scalable AI solutions.
- Qualifications: Experience in financial services or regulated industries; strong architecture or consulting background.
The predicted salary is between 70000 - 90000 £ per year.
Ready to help shape the future of AI — Not just talk about it? We're working with a global consulting and technology organisation at the forefront of AI transformation in Financial Services. This isn't AI at the proof-of-concept stage. This is AI moving into secure, scalable, production-ready environments.
With openings across London, Manchester and Scotland (hybrid), we're hiring from Manager through to Associate Director level. Whether you're an experienced Solution Architect or a senior technical leader, this is a rare opportunity to influence how major organisations design, govern and scale their AI capabilities.
You’ll be architecting enterprise AI and GenAI strategies, working across LLMs, RAG, semantic search and agentic AI, and collaborating with engineering, product and business teams to drive real, lasting impact. The technical environment spans Python, LangChain, LangGraph, vector databases, MLOps and cloud platforms including AWS, Azure, GCP and Databricks.
What makes this role genuinely exciting is the scope; you won't be maintaining existing systems, you'll be helping define what responsible, scalable AI looks like at enterprise level in one of the world's most complex sectors. Financial Services or regulated industry experience is essential. Strong architecture or consulting backgrounds are highly valued.
This team actively welcomes people who bring curiosity, collaborative instincts and a passion for mentoring alongside their technical depth. If your experience doesn't tick every box on paper but you're energised by where AI architecture is heading, we'd love to hear from you. Reach out for a confidential conversation.
AI Solution Architects & Technical AI Leaders, Banking in London employer: Women in Data®
Join a pioneering global consulting and technology organisation that is at the cutting edge of AI transformation in Financial Services. With a strong emphasis on collaboration, mentorship, and innovation, we offer a dynamic work culture that encourages professional growth and the opportunity to shape the future of AI in secure, scalable environments. Our hybrid roles across London, Manchester, and Scotland provide a unique chance to work with advanced technologies while making a meaningful impact in one of the most complex sectors.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architects & Technical AI Leaders, Banking in London
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Women in Data®. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace AI Solution Architects & Technical AI Leaders, Banking in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Women in Data®.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Women in Data®'s website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Women in Data®
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Women in Data®.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Women in Data® will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Women in Data® employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
