At a Glance
- Tasks: Lead the design and delivery of advanced AI solutions in financial services.
- Company: Join a top recruitment agency in the analytics field with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative culture with excellent career advancement opportunities.
- Why this job: Shape AI strategy and make a real impact in complex financial environments.
- Qualifications: Strong Python and SQL skills, with experience in AI engineering and team leadership.
The predicted salary is between 70000 - 90000 € 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 in Dunfermline employer: Datatech Analytics
Join a forward-thinking company in Edinburgh that champions innovation and collaboration, offering a hybrid work environment that promotes work-life balance. As a Senior AI Engineer Manager/Associate Director, you'll have the opportunity to lead transformative AI initiatives within the capital markets sector, while benefiting from a culture of continuous learning and professional development. With competitive compensation and a commitment to employee growth, this role is perfect for those looking to make a significant impact in a dynamic and supportive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer Manager/Associate Director | Capital Markets in Dunfermline
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and financial services space. Attend meetups, webinars, or industry events to meet potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to capital markets. This can be a game-changer during interviews, as it gives you a chance to demonstrate your expertise and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice coding challenges and be ready to discuss your experience with LLMs and AI solutions. We want to see how you think and approach problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior AI Engineer Manager/Associate Director | Capital Markets in Dunfermline
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior AI Engineer Manager. Highlight your experience with AI engineering, Python, SQL, and any relevant projects you've worked on in financial services. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in capital markets and how your background makes you the perfect fit for our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects:If you've worked on any AI prototypes or solutions, make sure to mention them! We’re interested in your hands-on experience, especially with LLMs, prompt engineering, and cloud platforms. Include links or descriptions that demonstrate your impact.
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. Plus, it shows us you’re keen to join our team at StudySmarter!
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 around LLMs, embeddings, and prompt engineering. Be ready to discuss your experience with Python and SQL, as well as any projects you've worked on that involved building and deploying AI solutions.
✨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. Highlight your collaborative approach when working with both technical and non-technical stakeholders.
✨Understand the Financial Landscape
Familiarise yourself with the capital markets and financial services environment. Be prepared to discuss how AI can solve complex operational and regulatory challenges in this sector. Showing that you understand the industry's nuances will set you apart from other candidates.
✨Prepare for Technical Questions
Expect to face technical questions related to MLOps, CI/CD practices, and modern data architectures. Brush up on your knowledge of cloud platforms like AWS, Azure, or GCP, and be ready to discuss how you've implemented AI solutions in these environments.
