Lead AI Engineer

Posted 11 Hours Ago
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Singapore, SGP
Hybrid
Entry level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
We are a global technology company in the payments industry.
The Role
Lead the design, prototyping, development, deployment, and integration of generative AI solutions, including LLMs and GANs. Provide hands-on technical leadership, guide software development practices, mentor engineers, collaborate with product and research teams, and explore emerging technologies such as multimodal AI, agent automation, and retrieval-augmented generation.
Summary Generated by Built In
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Lead AI Engineer
Lead AI Engineer - Foundry R&D, Singapore
We are looking for a Lead AI Engineer to be part of The Mastercard Foundry R&D team. You will be part of the team that drives Mastercard's innovation journey by consistently looking to discover and learn new skills and technologies and apply them to create highly scalable products. The ideal candidate is passionate about technology, willing to experiment, agile, highly motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset.
What you'll do
* Drive Generative AI Innovation: Lead the design and development of advanced AI solutions and proof-of-concepts focused on generative AI (e.g. LLMs, GANs). You will create prototypes, pilots, and MVPs that explore new use cases and demonstrate the art of the possible in payments and commerce. This includes pushing the frontier of applied AI through rapid experimentation and applied research.
* Technical Leadership: Provide hands-on technical leadership to a small, agile team of engineers. Guide the full software development lifecycle - from translating requirements into technical designs to coding, testing, and deployment. You'll establish high engineering standards (clean code, CI/CD, robust testing) and ensure production-ready quality for AI services. Mentor junior engineers and foster an innovation mindset within the team.
* Cross-Functional Collaboration: Work closely with cross-functional teams - including product owners, data scientists, researchers, and platform engineers - to identify AI opportunities and deliver solutions that meet business needs. You'll liaise with global teams in a fast-moving environment, ensuring alignment on project objectives and integrating generative AI features into existing products and processes.
* Model Deployment and Integration: You will oversee deploying these AI models into production environments and integrating them seamlessly with applications (in partnership with software and data engineers).
* R&D and Continuous Learning: Stay abreast of the latest developments in AI and especially generative AI. As part of Foundry R&D, you are expected to continuously explore emerging technologies (e.g. new model architectures, multimodal AI, agent-driven automation) and assess their potential impact on our products. You'll drive a culture of innovation by experimenting with advanced techniques (like retrieval-augmented generation, knowledge-grounded LLMs) and championing their adoption where they add value.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
  • Abide by Mastercard's security policies and practices;
  • Ensure the confidentiality and integrity of the information being accessed;
  • Report any suspected information security violation or breach, and
  • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

What the Team is Saying

Jenny
Mastercard

Mastercard Compensation & Benefits Highlights

  • Retirement Support Careers materials and job postings advertise a “best‑in‑class” 10% retirement match (401k or equivalent). Public-facing benefits pages consistently position this as a standout element of the U.S. package.
  • Leave & Time Off Breadth Recent U.S. postings list 25 vacation days, 5 personal days, 10 paid holidays, up to 20 days of bereavement, and 80 hours of sick/safe time. The combined time‑off framework is described as well above typical U.S. baselines.
  • Parental & Family Support Company materials specify a minimum of 16 weeks paid new‑parent leave and inclusive family‑building support, with financial assistance for adoption, fertility, and surrogacy where allowed. Impact/ESG reporting also notes coverage enhancements for gender‑affirming care in North America.

Mastercard Insights

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The Company
HQ: Purchase, NY
38,800 Employees
Year Founded: 1966

What We Do

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Why Work With Us

We live the Mastercard Way: creating value in the communities we touch, growing together through the opportunities we see, and moving fast to innovate and scale. Our collaborative culture and our passionate people are the key to what we do, driving meaningful change as one team and connecting everyone to priceless possibilities.

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Employees engage in a combination of remote and on-site work.

In our ongoing workplace evolution, we’ve introduced hybrid work, Work-From-Elsewhere Weeks and Meeting-Free Days.

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