At a Glance
- Tasks: Lead AI projects and develop innovative solutions in financial services.
- Company: Join a top recruitment agency in the analytics field.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Shape AI strategy and make a real impact in capital markets.
- Qualifications: Strong Python and SQL skills with AI engineering experience.
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.
Key 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.
Senior AI Engineer Manager/Associate Director Capital Markets employer: Datatech Analytics
At Datatech, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our hybrid working model ensures flexibility while our commitment to employee growth through mentoring and professional development opportunities empowers you to excel in your career. Join us to be part of transformative AI projects in the financial services sector, where your contributions will make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer Manager/Associate Director Capital Markets
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even casual coffee chats. The more people you know, the better your chances of landing that Senior AI Engineer Manager gig.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your AI projects or contributions to open-source initiatives. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. Focus on your problem-solving skills and how you've tackled challenges in past roles. Remember, they want to see how you think!
✨Apply Through Us!
Don’t forget to apply through our website! We’re here to help you find the right fit and support you throughout the process. Plus, we love seeing talented individuals like you join the team!
We think you need these skills to ace Senior AI Engineer Manager/Associate Director Capital Markets
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role. Highlight your experience with AI engineering, Python, and SQL, and don’t forget to mention any relevant projects or achievements that align with the job description.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior AI Engineer Manager role. Share your passion for AI in financial services and how your background can help us tackle complex challenges.
Showcase Your Team Leadership Skills:Since this role involves leading teams, make sure to highlight your experience in mentoring and developing others. We want to see how you’ve created high-performing environments in your previous roles.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you on our radar quickly!
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 capital markets. Be ready to discuss your experience with LLMs, prompt engineering, and any relevant frameworks like LangChain or LangGraph. This will show that you're not just familiar with the concepts but can also apply them effectively.
✨Showcase Your Leadership Skills
As a Senior AI Engineer Manager, you'll need to demonstrate your ability to lead teams and mentor others. Prepare examples of how you've successfully led projects or developed team capabilities in the past. Highlighting your collaborative approach will resonate well with interviewers looking for someone who can work across multidisciplinary teams.
✨Prepare for Technical Questions
Expect to face technical questions related to Python, SQL, and cloud platforms like AWS or Azure. Brush up on your coding skills and be ready to solve problems on the spot. Practising common coding challenges or discussing your previous projects can help you feel more confident during this part of the interview.
✨Understand the Business Context
Familiarise yourself with the financial services landscape, particularly within capital markets. Being able to discuss how AI can solve operational and regulatory challenges in this sector will set you apart. Show that you understand the business implications of your technical work, as this is crucial for the role.
