At a Glance
- Tasks: Lead teams to design and deliver advanced AI solutions in financial services.
- Company: Join a leading firm transforming capital markets with innovative AI technology.
- Benefits: Competitive salary, career growth, and opportunities to work with cutting-edge AI.
- Other info: Collaborative environment with mentorship and high-performance culture.
- Why this job: Make a real impact by shaping AI strategy and solving complex challenges.
- Qualifications: Strong Python and SQL skills, with experience in AI engineering and team leadership.
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 in City of Westminster 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 supportive atmosphere that values creativity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer Manager/Associate Director | Capital Markets in City of Westminster
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or conferences related to AI and capital markets. 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, prototypes, or any relevant work you've done. This is your chance to demonstrate your expertise in Python, SQL, and all those fancy AI frameworks. Make it easy for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. Think about how you would tackle real-world problems in financial services. Practice explaining complex concepts in simple terms – you’ll be working with both technical and non-technical stakeholders!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for talented individuals like you. Keep an eye on our listings and make sure your application stands out by tailoring it to the specific role you’re after.
We think you need these skills to ace AI Engineer Manager/Associate Director | Capital Markets in City of Westminster
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your AI engineering background, especially in financial services and capital markets, to show us you’re the right fit.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about AI and how your experience aligns with our needs. Share specific examples of projects where you’ve led teams or delivered AI solutions to complex problems.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python, SQL, and any relevant frameworks like LangChain or FastAPI. We want to see how you’ve applied these skills in real-world scenarios, so be specific!
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 don’t miss out on any important updates during the process.
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
Since this role involves leading teams, be prepared to share your experiences in mentoring and developing others. Think of specific instances where you’ve fostered a collaborative environment or helped someone grow their skills. This will show that you’re not just technically savvy but also a great leader.
✨Understand the Business Side
It’s crucial to demonstrate your understanding of how AI solutions can solve complex operational and regulatory challenges in capital markets. Familiarise yourself with current trends and challenges in the industry, and be ready to discuss how your skills can help address these issues.
✨Prepare for Technical Questions
Expect some deep dives into your technical expertise, especially around Python, SQL, and cloud platforms like AWS or Azure. Practice explaining your thought process when building and deploying AI solutions, and be ready to tackle hypothetical scenarios they might throw at you.
