At a Glance
- Tasks: Build AI platforms and intelligent workflows in financial services.
- Company: Major consulting and technology organisation leading AI transformation.
- Benefits: Competitive salary, flexible work options, and career advancement opportunities.
- Other info: Open to all levels, from Engineers to Senior Managers.
- Why this job: Join a dynamic team and shape the future of banking with AI.
- Qualifications: Strong software or data engineering skills and experience in AI solutions.
The predicted salary is between 60000 - 80000 € per year.
AI Engineers are supporting a major consulting and technology organisation delivering AI and data transformation programmes across Financial Services and Banking. The focus is applied AI engineering, building production grade AI solutions across banking, risk, fraud, automation and enterprise platforms. Hiring across multiple levels, from Engineers through to senior technical leadership.
What you’ll be doing:
- Building AI-enabled platforms and intelligent workflows
- Working with LLMs, RAG pipelines and embedding models
- Developing scalable backend services and AI integrations
- Collaborating across engineering, architecture and business teams
- Supporting AI deployment, governance and operational rollout
Environment:
- Python, SQL
- LLMs, prompt engineering, fine-tuning, RAG
- LangChain, LangGraph, Agent frameworks
- Vector databases, FastAPI, APIs
- AWS, Azure, GCP or Databricks
- CI/CD, MLOps and LLMOps
Requirements:
- Strong software or data engineering foundations
- Experience delivering AI or AI-enabled solutions
- Exposure to cloud and modern data platforms
- Financial Services or regulated industry experience essential
- Strong communication and stakeholder skills
- Open to candidates from Engineer through to Senior Manager level.
AI Engineer - Financial Services Consulting employer: Datatech
As a leading consulting and technology organisation, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and opportunities to work on cutting-edge AI projects within the Financial Services sector. Located in a vibrant city, we offer competitive benefits and a supportive environment where your contributions directly impact our clients' success.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Financial Services Consulting
✨Tip Number 1
Network like a pro! Reach out to people in the financial services and AI sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to banking or risk management. This can be a game-changer during interviews, as it gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python, SQL, and cloud platform knowledge. Practice coding challenges and be ready to discuss your experience with LLMs and AI integrations. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace AI Engineer - Financial Services Consulting
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Engineer role. Highlight your experience in building AI solutions, especially in financial services, to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background fits into our mission. Share specific examples of your work with LLMs or cloud platforms to show us what you can bring to the table.
Showcase Your Technical Skills:Don’t shy away from listing your technical proficiencies! Mention your experience with Python, SQL, and any relevant frameworks like FastAPI or LangChain. We want to see how you can contribute to our projects right from the start.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Datatech
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI engineering, especially in the context of financial services. Be ready to discuss your experience with LLMs, RAG pipelines, and how you've built production-grade AI solutions in the past.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python, SQL, and any relevant cloud platforms like AWS or Azure. You might be asked to solve a technical problem on the spot, so practice coding challenges and be familiar with CI/CD and MLOps concepts.
✨Communicate Clearly
Strong communication skills are key, especially when collaborating with different teams. Practice explaining complex technical concepts in simple terms, as you'll need to engage with both technical and non-technical stakeholders.
✨Understand the Financial Landscape
Since this role is within financial services, it’s crucial to have a grasp of the industry’s regulations and challenges. Research current trends in banking and risk management, and be prepared to discuss how AI can address these issues.
