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 working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on learning and mentorship.
- Why this job: Be at the forefront of AI innovation and make a tangible impact in the industry.
- Qualifications: Strong software development skills and a passion for AI technologies.
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.
The role includes:
- 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
Technologies involved:
- 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 employer: Women in Data®
As a leading player 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 contributing to impactful AI solutions. Located in a vibrant financial hub, our culture promotes inclusivity and teamwork, making it an ideal place for those passionate about technology and its transformative power in finance.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineers & Technical AI Leaders, Banking
✨Tip Number 1
Network like a pro! Connect with professionals in the banking and AI sectors on LinkedIn. Join relevant groups, participate in discussions, and don’t hesitate to reach out for informational chats. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to financial services. Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI and banking, and be ready to discuss how you’ve tackled real-world problems in your previous roles. Confidence is key!
✨Tip Number 4
Don’t just apply anywhere—apply through our website! We’re always on the lookout for passionate individuals who want to make an impact in AI and banking. Tailor your application to highlight your unique skills and experiences that align with our mission.
We think you need these skills to ace AI Engineers & Technical AI Leaders, Banking
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, software development, and any relevant projects you've worked on in the financial services sector.
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 the role. Don’t just repeat your CV; give us insights into your problem-solving approach and teamwork experiences.
Showcase Your Technical Skills:Be specific about your technical expertise, especially in Python, SQL, and any AI frameworks you've used. Mention any hands-on experience with LLMs or cloud environments, as these are key to the role.
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. Plus, it shows us you’re keen on joining our team!
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 LLMs and RAG pipelines. Be ready to discuss how you've used these tools in past projects or how you would approach building AI solutions in a banking context.
✨Showcase Your Collaboration Skills
Since the role involves working across various teams, be prepared to share examples of how you've successfully collaborated with engineers, product managers, and business teams. Highlight any experiences where your communication skills made a difference.
✨Demonstrate Problem-Solving Abilities
Think of specific operational or commercial problems you've tackled using AI. 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 understand how you can contribute to their goals.
