At a Glance
- Tasks: Build AI solutions that tackle real-world problems in banking and finance.
- Company: Join a leading consulting and tech firm transforming the financial services sector.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on learning and mentorship.
- Why this job: Make a difference with cutting-edge AI technology in a dynamic industry.
- Qualifications: Strong software development skills and a passion for AI solutions.
The predicted salary is between 60000 - 80000 € per year.
We’re partnering with a major consulting and technology organisation delivering AI and data transformation programmes across Financial Services and Banking. The focus is building practical, production ready AI solutions that solve real operational and commercial problems across areas including risk, fraud, automation and enterprise platforms. Hiring across multiple levels, from AI Engineers through to senior technical leadership.
The role:
- Building AI-enabled applications, platforms and intelligent workflows
- Working with LLMs, RAG pipelines and modern AI tooling
- Developing scalable backend services and AI integrations
- Collaborating across engineering, architecture, product and business teams
- Supporting AI deployment, governance and operational rollout
- Helping shape best practice around scalable and responsible AI delivery
- Python, SQL LLMs, prompt engineering, RAG and Agentic AI
- LangChain, LangGraph and modern AI frameworks
- Vector databases, APIs and FastAPI
- CI/CD, MLOps and cloud-native environments
Requirements:
- Strong engineering or software development foundations
- Experience building AI or AI-enabled solutions
- Exposure to cloud and modern data environments
- Financial Services or regulated industry experience
- Strong collaboration and communication skills
- People who enjoy learning, mentoring and working across teams
We’re especially interested in speaking with people who may not meet every requirement listed, but who bring strong technical capability, curiosity and an interest in building scalable AI solutions within complex environments.
AI Engineers & Technical AI Leaders, Banking in London employer: Women in Data®
As a leading consulting and technology organisation in the banking sector, we offer an exceptional work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and mentorship programmes, ensuring that you can advance your career while working on cutting-edge AI solutions that have a real impact on the financial services industry. Located in a vibrant city, our workplace culture promotes inclusivity and teamwork, making it an ideal place for those passionate about technology and its transformative power.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineers & Technical AI Leaders, Banking in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with AI professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to banking or financial services. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, SQL, and AI frameworks. Practice common interview questions and think about how you can demonstrate your collaboration skills.
✨Tip Number 4
Don’t just apply anywhere—apply through our website! We’re keen on finding talent that fits our culture and values. Tailor your application to highlight your curiosity and passion for building scalable AI solutions, even if you don’t tick every box.
We think you need these skills to ace AI Engineers & Technical AI Leaders, Banking in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the job description. Highlight your experience in AI, Python, and any relevant projects you've worked on in financial services.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Don’t forget to mention any specific projects or technologies you’ve worked with that relate to the role.
Showcase Your Collaboration Skills:Since we value teamwork, include examples of how you've successfully collaborated with others in past roles. This could be through cross-functional projects or mentoring experiences.
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 you’re interested in!
How to prepare for a job interview at Women in Data®
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies, especially those mentioned in the job description like LLMs, RAG pipelines, and modern AI tooling. Be ready to discuss how you've applied these in past projects or how you would approach building AI-enabled solutions.
✨Showcase Your Collaboration Skills
Since the role involves working across various teams, be prepared to share examples of how you've successfully collaborated with engineering, architecture, and product teams. Highlight any experiences where your communication skills made a difference in project outcomes.
✨Demonstrate Problem-Solving Abilities
Think of specific operational or commercial problems you've tackled using AI solutions. Be ready to explain your thought process and the impact of your solutions, especially in regulated environments like Financial Services.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's approach to AI deployment and governance. This shows your genuine interest in the role and helps you gauge if the company’s values align with yours, especially regarding responsible AI delivery.
