Lead Artificial Intelligence Engineer, Mastercard
$140-231k
Global payments technology company
Job no longer available
Global payments technology company
1001+ employees
Job no longer available
$140-231k
1001+ employees
Company mission
To connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible.
Role
Who you are
- Bachelor’s degree in computer science, Engineering, Data Science, or a related technical field. Master’s degree preferred
- Professional experience in software development with a focus on building and deploying AI/ML powered applications or micro services in production environments
- Proficiency in MSFT Power Platform, Azure Foundry, Copilot Studio, AWS Bedrock / Sage maker, Docker, Kubernetes, Databricks, etc. tools and practices tailored for AI/ML systems
- Strong proficiency in Python is required
- Hands on experience working with agentic frameworks such as LangChain, LangChain, CrewAI or AutoGen are required
- Extensive experience designing, developing, and deploying RESTful APIs and micro services
- Solid understanding of the AI/ML lifecycle, from data preparation and model training to deployment and monitoring
- Familiarity with CI/CD pipelines for automated testing and deployment of software and AI models
- Excellent communication, interpersonal, and stakeholder management skills, with the ability to effectively articulate complex technical concepts to both technical and non-technical audiences
- Proven ability to lead technical initiatives, drive cross functional projects, and influence outcomes within a fast-paced environment
What the job involves
- As a Lead AI Engineer at Mastercard, you will take ownership of platform support for our AI solutions and use cases, playing a key role in designing, developing, and scaling AI services that turn innovative ideas into reliable, production-ready components
- Collaborating closely with data scientists and cross-functional teams, you’ll help deliver scalable and efficient AI capabilities that are seamlessly embedded within Mastercard’s broader ecosystem
- This position is an excellent opportunity for someone eager to grow, expand their expertise, and become a recognized leader in the AI space
- Provide platform level support for AI use cases across Microsoft Copilot Studio, Power Platform, Data bricks, AWS, Azure, etc., helping teams adopt standards, tooling, and governance that enable rapid development and deployment across the organization
- Lead the end-to-end design and development of AI powered services, focusing on modularity, scalability, and reusability to support various business units and applications
- Drive the transition of AI models from notebook based PoCs and experimental phases into hardened, production grade components and services, ensuring performance, reliability, and maintainability
- Design and implement robust APIs for AI services, facilitating seamless integration with existing Mastercard platforms and external systems
- Identify and address performance bottlenecks within AI microservices and their underlying infrastructure, optimizing for latency, throughput, and cost efficiency
- Collaborate closely with data scientists, MLOps engineers, product owners, and external partners to translate business requirements into technical specifications for agentic AI services
- Mentor junior engineers on best practices for AI software development and scaling
- Implement rigorous testing strategies, including unit, integration, and performance testing, to ensure the quality, accuracy, and stability of deployed AI microservices
Application process
- End Date: April 3, 2026
Our take
Mastercard is in the global payments business, and operates the world's fastest payments processing network. Its products and solutions have become central to everyday commerce across the world, in activities ranging from shopping and travelling to running businesses.
As the economy has become more and more digitised, Mastercard has been a leading player in helping businesses and individuals across the globe embrace card payments and digital banking. One of the world's largest companies, its revenue has seen consistent gain in the last 20 years.
The challenge for modern payments companies is that payments are always changing, as seen in the astronomical rise of contactless payments over the last decade. Mastercard's acquisition of blockchain systems, and an overall focus on leveraging its technology towards a digital economy, has placed the company in good stead to keep up to date with current trends, like cryptocurrency, in the digitised payments world.
Steph
Company Specialist at Welcome to the Jungle
Insights
21% employee growth in 12 months
Company
Company benefits
- Gym membership
- Share purchase options
- Extra holiday purchase optional
- Work from home opportunities
- Health insurance
Company HQ
Purchase, Harrison, NY
Leadership
Michael Miebach
(CEO)Has served in a variety of roles at the company, including President and CPO. Currently Board Member at IBM, Accion, the World Resources Institute, the US-India Strategic Partnership Forum, and the Metropolitan Opera. They are also a Trustee of USCIB.
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