At a Glance
- Tasks: Lead AI strategy and deliver innovative solutions in financial services.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Open to part-time hours and diverse applicants.
- Why this job: Shape the future of AI in finance and mentor top talent.
- Qualifications: Proven experience in AI/ML and leadership in tech teams.
The predicted salary is between 100000 - 150000 € per year.
Requirements
- You are an experienced technology leader, with a proven track record of successfully leading AI/ML strategy and project delivery.
- You bring a strong understanding of MLOps, with experience deploying commercially valuable AI applications within the financial services sector.
- You have experience leading full-stack technology teams, backed by a solid grasp of systems architecture and engineering fundamentals.
- You possess deep knowledge of the financial services landscape, including commercial drivers and how AI can accelerate business outcomes for banks and insurers.
- You are an excellent communicator, able to clearly explain complex technical information and strategy to both internal teams and C-suite clients.
- You have an interest, and proven ability to mentor and develop high-performing data scientists and machine learning engineers.
- If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don’t hesitate in applying as you might be right for this role, or other roles.
- We are open to conversations about part-time hours.
What the job involves
- As Director, AI Engineering you’ll be our most senior technical authority on the AI solutions we propose and deliver across our rapidly growing Financial Services Business unit.
- This is a pivotal role, requiring you to balance deep AI and machine learning expertise with commercial and strategic leadership.
- We’ll look to you to define a differentiated technical vision for clients across banking, insurance, and asset management, while directly mentoring our world-class team of data scientists and engineers.
- Leading the development and delivery of advanced AI solutions, ensuring technical excellence across the entire business unit.
- Providing hands‑on technical guidance and expertise for complex, high-priority client projects.
- Advising on solution architecture, advanced machine learning modelling, and engineering best practices.
- Defining and championing the technical strategy and vision for our financial and professional services clients.
- Leading recruiting, structuring, and professional development for technical staff within the business unit.
- Acting as the senior technical authority in key client meetings to secure and expand market opportunities.
- Creating and sharing impactful technical thought leadership through conferences, articles, and other media.
Director of AI Engineering employer: Deepstreamtech
As a leading employer in the financial services sector, we offer an exceptional work environment that fosters innovation and collaboration. Our culture prioritises professional growth, providing ample opportunities for mentorship and development within a dynamic team of experts. Located in a vibrant city, we not only focus on delivering cutting-edge AI solutions but also ensure our employees enjoy a balanced work-life experience with flexible hours and a commitment to diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Director of AI Engineering
✨Tip Number 1
Network like a pro! Get out there and connect with industry professionals on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Show off your expertise! Create a portfolio or blog where you share insights on AI/ML strategies and projects you've led. This will not only showcase your skills but also demonstrate your passion for the field to potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and financial services. We recommend doing mock interviews with friends or mentors to build confidence and refine your communication skills.
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t tick every box in the job description, we value enthusiasm and potential. You might just be the perfect fit for us!
We think you need these skills to ace Director of AI Engineering
Some tips for your application 🫡
Showcase Your Experience:Make sure to highlight your experience in leading AI/ML strategies and project delivery. We want to see how you've successfully deployed AI applications, especially in the financial services sector, so don’t hold back on those details!
Communicate Clearly:Since this role involves explaining complex technical info to various audiences, we recommend you keep your language clear and concise. Use examples from your past experiences to illustrate your points – it’ll make your application stand out!
Emphasise Leadership Skills:We’re looking for someone who can mentor and develop high-performing teams. Be sure to mention any leadership roles you've had and how you've helped others grow in their careers. It’s all about showing us your ability to inspire and guide!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this role or any other opportunities that might fit your skills. We can’t wait to hear from you!
How to prepare for a job interview at Deepstreamtech
✨Know Your AI Inside Out
Make sure you brush up on your AI and machine learning knowledge, especially as it relates to the financial services sector. Be ready to discuss specific projects you've led, focusing on MLOps and how you've delivered commercially valuable AI applications.
✨Communicate Like a Pro
Since you'll be explaining complex technical concepts to both teams and C-suite clients, practice articulating your thoughts clearly and concisely. Use examples from your past experiences to demonstrate your ability to bridge the gap between technical and non-technical stakeholders.
✨Showcase Your Leadership Skills
Prepare to talk about your experience leading full-stack technology teams. Highlight your mentoring style and how you've developed high-performing data scientists and machine learning engineers. Share specific instances where your leadership made a difference in project outcomes.
✨Understand the Business Landscape
Familiarise yourself with the current trends and challenges in the financial services industry. Be ready to discuss how AI can drive business outcomes for banks and insurers, and come prepared with ideas on how you would define a differentiated technical vision for clients.
