Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI/ML initiatives and develop cutting-edge solutions in fintech.
- Company: Join FIS, a leading fintech company focused on innovation and inclusivity.
- Benefits: Competitive salary, professional development, and a diverse team environment.
- Why this job: Shape the future of AI while making a real impact in the fintech industry.
- Qualifications: 8+ years in AI/ML engineering with strong leadership and technical skills.
- Other info: Dynamic role with opportunities for growth and community contribution.
The predicted salary is between 43200 - 72000 ÂŁ per year.
At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you're ready to grow your career and make an impact in fintech, we have one question: Are you FIS?
About the role: Are you ready to shape the future of AI within one of the world's most influential fintech companies? At FIS, we're hiring an experienced Engineer Principal, Artificial Intelligence / Machine Learning to define, lead, and execute our enterprise-wide AI/ML vision. In this strategic and highly visible role, you will architect and drive cutting‑edge AI systems that power transformation across our global commercial organization. You'll lead the design and development of advanced machine learning algorithms, intelligent agents, and enterprise‑scale AI platforms - solving complex challenges unique to fintech. You will work closely with cross‑functional teams - including product managers, software engineers, data scientists, and business leaders - to build and embed AI solutions into FIS products, tools, and processes. You'll also shape how the entire commercial organization interacts with AI through modern architectures and next‑generation agentic systems. This is a rare opportunity to work at enterprise scale with massive datasets, unmatched leadership access, and the freedom to innovate at pace delivering impactful AI products within one of the world's leading fintechs.
What you will be doing:
- Providing strategic leadership and owning the AI/ML roadmap for the commercial organization.
- Leading and growing a high‑calibre team of Data Scientists and AI/ML engineers, fostering a culture of innovation, collaboration, and continuous learning.
- Designing, building, and deploying AI Agents at scale - from automated lead‑generation agents to intelligent pricing and decisioning systems.
- Developing advanced ML models and agentic systems to address complex challenges across fintech, including predictive analytics, optimization, personalization, and intelligent automation.
- Owning the strategy and architecture for how the entire commercial organization interacts with AI, including model governance, tooling, infrastructure, and integration frameworks.
- Collaborating with stakeholders across Sales, Product, Engineering, and Revenue Operations to embed AI capabilities into workflows, products, and commercial strategies.
- Driving innovation in Generative AI, Agentic AI, deep learning, and large‑scale ML deployment.
- Championing best practices in MLOps, cloud‑native development (Azure preferred), and scalable production deployment.
- Presenting AI program outcomes, strategic recommendations, and technical guidance to senior leadership and executive audiences.
What you will need:
- Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or related field (required).
- Master's or PhD in AI/ML, Computer Science, or related discipline (preferred).
- 8+ years of experience in AI/ML engineering, applied machine learning, or advanced analytics.
- Demonstrated experience leading technical AI teams and delivering enterprise‑scale AI/ML solutions.
- Deep expertise in machine learning algorithms, neural networks, large‑scale architectures, and modern AI frameworks.
- Hands‑on experience with Generative AI and Agentic AI (LLMs, foundation models, autonomous agents, large‑scale inference).
- Strong proficiency in Python and SQL; experience building production‑grade ML systems.
- Experience with Azure or another major cloud platform; familiarity with MLOps pipelines and deployment automation.
- Excellent communication skills and the ability to simplify complex technical concepts for business audiences.
- Ability to thrive in a fast‑paced, high‑impact environment with multiple stakeholders.
- Curiosity, proactive problem‑solving mindset, and passion for innovation.
What we offer you:
- Opportunities to innovate in fintech and shape the future of enterprise AI.
- Inclusive and diverse team atmosphere.
- Professional and personal development.
- Resources to contribute to your community.
- Competitive salary and benefits.
Engineer Principal, Artificial Intelligence / Machine Learning employer: FIS, Inc.
Contact Detail:
FIS, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineer Principal, Artificial Intelligence / Machine Learning
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those at FIS. Use LinkedIn to connect and engage with them; you never know who might give you a heads-up about job openings or even refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's GitHub repos or case studies, having tangible evidence of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with cross-functional teams at FIS.
✨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, it shows you're genuinely interested in joining the FIS team.
We think you need these skills to ace Engineer Principal, Artificial Intelligence / Machine Learning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Engineer Principal, AI/ML. Highlight your experience with machine learning algorithms and any leadership roles you've had. We want to see how your skills align with our vision at FIS!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in fintech and how you can contribute to our team. Be sure to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially in Python, SQL, and cloud platforms like Azure. We’re looking for someone who can hit the ground running, so make sure we see your hands-on experience with AI systems!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Let’s get started on this journey together!
How to prepare for a job interview at FIS, Inc.
✨Know Your AI/ML Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss your experience with advanced algorithms, neural networks, and any hands-on projects you've worked on. This role is all about innovation, so show them you're not just familiar with the basics but also excited about what's next!
✨Showcase Your Leadership Skills
Since this position involves leading a high-calibre team, be prepared to share examples of how you've successfully managed teams in the past. Talk about how you foster collaboration and innovation within your team. They want to see that you can inspire others and drive results in a fast-paced environment.
✨Prepare for Technical Questions
Expect some deep technical questions during your interview. Brush up on your Python and SQL skills, and be ready to explain your approach to building production-grade ML systems. You might even be asked to solve a problem on the spot, so practice articulating your thought process clearly.
✨Understand the Business Impact
FIS is looking for someone who can connect AI solutions to business outcomes. Be ready to discuss how your previous work has impacted commercial strategies or improved processes. Show them you understand the fintech landscape and how AI can transform it, making you a valuable asset to their team.