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- Tasks: Lead AI solutions in financial services, optimising workflows and solving complex business challenges.
- Company: Intellias, a global leader in AI, Data, and Software Development.
- Benefits: Flexible working options, competitive salary, and a comprehensive benefits package.
- Why this job: Shape the future of AI in finance and make a real impact on industry innovation.
- Qualifications: Expertise in AI Engineering or Data Science, with leadership experience in financial services.
- Other info: Join a dynamic team with global reach and opportunities for professional growth.
The predicted salary is between 72000 - 108000 £ per year.
About Intellias: Intellias is a European-founded AI, Data and Software Development company with global delivery capability across Europe, India and Latin America. For more than 20 years, we have empowered our customers to embrace innovation at scale and contributed to the success of the world's leading brands. The company is featured in the Inc 5,000 Europe and IAOP Global Outsourcing 100.
Financial Services and Insurance (FSI) is one of our four verticals experiencing significant growth across Capital Markets, Commodities Trading, Banking and Insurance. We are working with the leading hedge funds, online trading companies, reinsurance institutions and banks to help them compete in the age of AI through modernisation, enterprise data management, and agentic AI capabilities.
Your responsibilities:
- Define our go-to-market approach for AI and Agentic AI solutions.
- Shape transformative solutions with customers—optimizing workflows, solving complex business problems, and enabling business model innovation.
- Lead initial delivery phases to establish technical excellence and set engagements up for long-term success.
You bring:
- Hands-on AI expertise in AI Engineering, Agentic AI, or Data Science—you can architect solutions and review code.
- Executive presence with technical depth – comfortable engaging C-suite and leading technical teams in the trenches.
- Team leadership – coaching and mentoring engineers while driving delivery excellence.
- FSI domain knowledge in Capital Markets, Banking or Insurance, with depth in at least one sub-vertical.
- Commercial acumen – structuring win-win-win engagements for customers, partners, and Intellias.
Why work at Intellias:
- Shape the future of AI in financial services with Tier II institutions.
- Work at the leading edge—deploying agentic AI, LLMOps, and enterprise AI platforms.
- Customer-focused organisation with real influence on practice strategy.
- Global working environment with flexible location options.
- Competitive benefits and compensation package.
AI VP / Director / Principal, Financial Services in Milton Keynes employer: Intellias
Contact Detail:
Intellias Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI VP / Director / Principal, Financial Services in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to industry contacts on LinkedIn or attend relevant events. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Prepare for interviews by researching the company and its projects. We recommend diving deep into their AI initiatives, especially in financial services, so you can speak their language and show you’re genuinely interested.
✨Tip Number 3
Showcase your expertise! Bring examples of your past work, especially in AI Engineering or Data Science, to the table. We want to see how you’ve tackled complex problems and delivered results.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining our team at Intellias.
We think you need these skills to ace AI VP / Director / Principal, Financial Services in Milton Keynes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of AI VP/Director/Principal in Financial Services. Highlight your hands-on AI expertise and any relevant experience in Capital Markets, Banking, or Insurance. We want to see how you can shape transformative solutions!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for Intellias and how your skills align with our mission. Don’t forget to mention your commercial acumen and team leadership experience – we love that!
Showcase Your Achievements: When detailing your experience, focus on specific achievements that demonstrate your ability to lead technical teams and engage with C-suite executives. We’re looking for evidence of your impact in previous roles, so don’t hold back!
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 to know you better. Plus, it shows you’re keen on joining our team at Intellias!
How to prepare for a job interview at Intellias
✨Know Your AI Stuff
Make sure you brush up on your hands-on AI expertise, especially in AI Engineering and Agentic AI. Be ready to discuss specific projects you've worked on and how they relate to the financial services sector. This will show that you not only understand the technology but can also apply it effectively.
✨Understand the Financial Services Landscape
Dive deep into the financial services industry, particularly Capital Markets, Banking, and Insurance. Familiarise yourself with current trends and challenges these sectors face, so you can speak knowledgeably about how AI can drive innovation and solve complex problems for potential clients.
✨Showcase Your Leadership Skills
Prepare examples of how you've led teams and mentored engineers in previous roles. Highlight your ability to drive delivery excellence and foster a collaborative environment. This is crucial as you'll be expected to lead technical teams and engage with C-suite executives.
✨Think Commercially
Be ready to discuss how you can structure win-win engagements for customers, partners, and Intellias. Think about past experiences where you've successfully navigated commercial relationships and how you can bring that acumen to the role. This will demonstrate your understanding of the business side of AI solutions.
