At a Glance
- Tasks: Lead the design and delivery of advanced AI solutions in financial services.
- Company: Join a leading firm at the forefront of AI in capital markets.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on mentoring and team development.
- Why this job: Shape AI strategy and make a real impact in a dynamic industry.
- Qualifications: Strong Python and SQL skills with experience in AI engineering.
The predicted salary is between 80000 - 100000 € per year.
Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale.
You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data-driven applications.
Responsibilities- Building and deploying AI prototypes, products and production ready solutions
- Designing and implementing end to end AI solutions that integrate with enterprise systems
- Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning
- Developing AI agents and agentic workflows using modern frameworks
- Working with vector databases, APIs and modern data platforms
- Supporting AI deployment, serving patterns, evaluation frameworks and integration design
- Using Python and SQL to build robust, scalable AI and data solutions
- Working with cloud platforms such as AWS, Azure, GCP or Databricks
- Supporting MLOps, LLMOps, CI/CD and software engineering best practice
- Collaborating with technical and non-technical stakeholders across complex programmes
- Helping identify technical, delivery, security, data privacy and regulatory risks
- Contributing to technical documentation, solution design and delivery planning
- Supporting AI implementation and scaling initiatives across complex environments
- Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment
- Strong Python and SQL experience
- Applied AI engineering, ML engineering or software engineering background
- Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning
- Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks
- Experience with vector databases such as Pinecone, Chroma or similar
- API development experience, ideally with FastAPI or similar frameworks
- Knowledge of MLOps, LLMOps, CI/CD or production deployment practices
- Experience designing or supporting evaluation frameworks for AI or agentic systems
- Experience working with modern data architectures and cloud platforms
- Understanding of AI risk, governance, security and regulatory considerations
- Financial services experience within capital markets or broader banking environments
This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments.
AI Engineer Manager/Associate Director | Capital Markets employer: Datatech Analytics
As a leading player in the financial services sector, we offer an exceptional work environment for AI Engineering professionals looking to make a significant impact. Our collaborative culture fosters innovation and growth, providing ample opportunities for professional development through mentorship and hands-on experience with cutting-edge AI technologies. Located in a vibrant capital markets hub, we empower our teams to tackle complex challenges while enjoying a dynamic workplace that values creativity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer Manager/Associate Director | Capital Markets
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services and AI sectors. Attend industry events, webinars, or meetups to meet potential employers and showcase your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio of your AI projects, especially those related to capital markets. This will give you an edge and demonstrate your hands-on experience to hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with LLMs, Python, and SQL, as well as how you've led teams and tackled complex challenges.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that match your skills. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace AI Engineer Manager/Associate Director | Capital Markets
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your background in AI engineering, especially any experience with LLMs and cloud platforms like AWS or Azure.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've led teams or delivered AI solutions in complex environments, and don’t forget to mention your passion for AI in financial services!
Showcase Your Technical Skills:Since we're looking for strong Python and SQL experience, make sure to include relevant projects or achievements that demonstrate your technical prowess. If you've worked with vector databases or APIs, let us know!
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 this exciting opportunity in AI engineering within capital markets.
How to prepare for a job interview at Datatech Analytics
✨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, prompt engineering, and any relevant frameworks like LangChain or LangGraph. The more specific examples you can provide, the better!
✨Showcase Your Leadership Skills
As a potential manager or associate director, it's crucial to demonstrate your ability to lead teams effectively. Prepare to share examples of how you've mentored others, fostered collaboration, and driven high performance in previous roles. This will show that you're not just technically skilled but also a great leader.
✨Understand the Business Context
Familiarise yourself with the capital markets and financial services landscape. Be prepared to discuss how AI can solve operational, technical, and regulatory challenges in these environments. Showing that you understand the business implications of your work will set you apart from other candidates.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during your interview. Brush up on Python, SQL, and cloud platforms like AWS or Azure. You might be asked to solve problems on the spot, so practice coding challenges and be ready to explain your thought process clearly.
