Engineer Principal, Artificial Intelligence / Machine Learning at FIS

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

06 Jun, 26

Salary

0.0

Posted On

08 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Machine Learning, AI/ML Vision, Algorithm Design, Intelligent Agents, Enterprise-Scale AI, Predictive Analytics, Optimization, Personalization, Intelligent Automation, Generative AI, Agentic AI, Deep Learning, MLOps, Python, SQL

Industry

IT Services and IT Consulting

Description

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: At FIS, we are as committed to growing our employees’ careers as our own business. 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. #LI-DD1 Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice. Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass

Responsibilities

This role involves providing strategic leadership and owning the AI/ML roadmap for the commercial organization while leading and growing a high-calibre team of Data Scientists and AI/ML engineers. Responsibilities include designing, building, and deploying AI Agents at scale to address complex fintech challenges and owning the strategy for AI interaction across the commercial organization.