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For Companies At a Glance
- Tasks: Lead AI projects and mentor a team of data scientists in financial services.
- Company: Join Faculty, a leader in impactful AI solutions for global clients.
- Benefits: Enjoy a diverse workplace, professional development, and the chance to work with brilliant minds.
- Why this job: Be at the forefront of AI innovation while making a real-world impact.
- Qualifications: Proven experience in AI/ML strategy, team leadership, and financial services knowledge required.
- Other info: This is a senior-level role created due to rapid growth and demand.
The predicted salary is between 72000 - 100000 £ per year.
About Faculty
At Faculty, we transform organisational performance through safe, impactful and human-centric AI.
With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme.
Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI.
Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.
This is a new, senior-level position created due to rapid growth and increased demand. The ideal candidate will be an established technology leader with a strong background in AI and machine learning, particularly within the financial services sector.
You will balance technical expertise with commercial and strategic leadership, driving the development and delivery of high-caliber AI solutions for our clients, which include banks, asset managers, insurers, and law firms. Your role will be to lead and mentor a team of world-class data scientists and machine learning engineers, and you will work with the business unit leadership to develop a differentiated technical vision for the business unit.
What you\’ll do:Technical Leadership and Delivery
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Provide hands-on technical guidance for complex, high-priority projects (40% of your time).
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Lead the development and delivery of advanced AI solutions and ensure technical excellence across the business unit.
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Advise on solution architecture, advanced modelling and engineering best practices.
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Identify and implement new tools and processes to enhance delivery quality.
Team Leadership and Strategy
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Define and champion the technical vision for our professional and financial services clients.
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Lead recruiting, team structure, and professional development for technical staff.
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Collaborate with the Business Unit Director on commercial strategy and project resourcing.
Business Development
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Act as a technical authority in client meetings to secure and expand market opportunities.
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Create and share technical thought leadership through conferences, articles, and other media.
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Identify new market opportunities and technologies.
Who we\’re looking for
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An experienced technology leader with a track record of successfully leading AI/ML strategy and project delivery.
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Strong understanding of MLOps, with experience deploying commercially valuable AI applications in financial services.
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Experience leading full-stack technology teams, with a solid grasp of systems architecture and engineering fundamentals.
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Knowledge of the financial services landscape, including commercial drivers and the ability to articulate how AI can accelerate business outcomes.
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Strong communication skills, with the ability to explain complex technical information to both internal and external stakeholders.
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A proven interest in and ability to mentor and develop team members.
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A pragmatic and outcome-focused mindset, balancing big-picture strategy with real-world execution.
What we can offer you:
The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day.
Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals.
Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.
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Director, AI Engineering, Professional & Financial Services employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director, AI Engineering, Professional & Financial Services
✨Tip Number 1
Network with professionals in the AI and financial services sectors. Attend industry conferences, webinars, and meetups to connect with potential colleagues and leaders in the field. This can help you gain insights into the latest trends and possibly get referrals.
✨Tip Number 2
Showcase your thought leadership by writing articles or giving talks on AI applications in financial services. This not only demonstrates your expertise but also helps you build a personal brand that aligns with the values of Faculty.
✨Tip Number 3
Familiarise yourself with Faculty's current projects and clients. Understanding their specific needs and challenges will allow you to tailor your discussions during interviews, showing that you are already thinking about how to contribute to their success.
✨Tip Number 4
Prepare to discuss your experience in leading AI/ML teams and projects. Be ready to provide examples of how you've successfully implemented AI solutions in the financial sector, as this will be crucial in demonstrating your fit for the Director role.
We think you need these skills to ace Director, AI Engineering, Professional & Financial Services
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and machine learning, particularly within the financial services sector. Emphasise your leadership roles and any successful projects you've led that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your technical expertise but also showcases your strategic vision for AI in professional and financial services. Mention specific examples of how you've driven AI solutions in previous roles.
Showcase Your Leadership Skills: In your application, provide examples of how you've mentored teams and led technology initiatives. Highlight your ability to balance technical guidance with commercial strategy, as this is crucial for the role.
Demonstrate Communication Skills: Since strong communication skills are essential, ensure your application reflects your ability to convey complex technical information clearly. Consider including instances where you've successfully communicated with both technical and non-technical stakeholders.
How to prepare for a job interview at Faculty
✨Showcase Your Technical Expertise
As a candidate for the Director of AI Engineering, it's crucial to demonstrate your deep understanding of AI and machine learning. Be prepared to discuss specific projects you've led, particularly in the financial services sector, and how your technical decisions impacted outcomes.
✨Articulate Your Vision
This role requires you to define and champion a technical vision. During the interview, clearly articulate your strategic approach to AI solutions and how you plan to lead your team towards achieving this vision while aligning with business goals.
✨Emphasise Leadership and Mentorship
Highlight your experience in leading and mentoring teams. Share examples of how you've developed talent within your teams and fostered a culture of innovation and collaboration, as this is key for the role at Faculty.
✨Prepare for Business Development Discussions
Since part of the role involves acting as a technical authority in client meetings, be ready to discuss how you've successfully secured and expanded market opportunities in previous roles. Think of specific examples where your technical insights led to business growth.