Principal Applied AI App Engineer
Jul 21, 2026 Pune, India
About us
- Size: 10,000+ employees
- Industry: Finance: Credit & Fund Services
Why you should apply for a job to Mastercard:
3.6/5 in overall job satisfaction
4.8/5 in supportive management
71% say women are treated fairly and equally to men
64% would recommend this company to other women
100% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
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
Principal Applied AI App Engineer
Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Overview
The Global Business Solution Center (GBSC) Tech team is looking for a Principal AI Engineer to steer and implement the GBSC's AI strategy. The ideal candidate is highly motivated, intellectually curious, analytical with a passion for reliability, scalability and automation.
Principal Applied AI App Engineer role:
• Serve as the GBSC's design lead for AI based solutions within Mastercard's evolving AI ecosystem
• Design and develop production grade applications that embed machine learning and generative AI capabilities
• Integrate trained models (ML, deep learning, or LLM-based) into APIs, services, workflows, and UIs
• Collaborate with Data Science and ML Engineering teams to operationalize prebuilt models
• Support model versioning, deployment, monitoring, and updates in production environments.
• Implement guardrails for model behavior, data quality, and responsible AI usage
• Ensure AI applications meet enterprise standards for security, privacy, compliance, and ethical AI usage
• Apply bias mitigation, explainability, and monitoring techniques where applicable
• Follow secure coding and access control best practices
• Stays abreast of emerging AI/ML engineering trends and incorporates innovative techniques into Mastercard's AI ecosystem
• Mentors team members by sharing best practices, innovative techniques, and emerging trends to develop expertise and capabilities around their discipline
All About You:
• Advanced expertise integrating generative AI, LLMs, prompt engineering, and RAG architectures into business applications
• Extensive experience deploying production-grade AI applications that leverage evaluation, observability and monitoring
• Strong experience in software engineering (Python, Java, C#, or similar)
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerized deployments.
• Solid understanding of data structures, algorithms, and system design
• Detail oriented with a passion for automation and adopting emerging technologies
• Experience advising / strategizing AI roadmaps and technology adoption
Desirable Capabilities
• Finance process fluency + leadership skills
• Strong communication skills / experience communicating with senior leaders and executives
• Excels working on a global team, communicating plans and leading execution across time zones
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:
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
Principal Applied AI App Engineer
Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Overview
The Global Business Solution Center (GBSC) Tech team is looking for a Principal AI Engineer to steer and implement the GBSC's AI strategy. The ideal candidate is highly motivated, intellectually curious, analytical with a passion for reliability, scalability and automation.
Principal Applied AI App Engineer role:
• Serve as the GBSC's design lead for AI based solutions within Mastercard's evolving AI ecosystem
• Design and develop production grade applications that embed machine learning and generative AI capabilities
• Integrate trained models (ML, deep learning, or LLM-based) into APIs, services, workflows, and UIs
• Collaborate with Data Science and ML Engineering teams to operationalize prebuilt models
• Support model versioning, deployment, monitoring, and updates in production environments.
• Implement guardrails for model behavior, data quality, and responsible AI usage
• Ensure AI applications meet enterprise standards for security, privacy, compliance, and ethical AI usage
• Apply bias mitigation, explainability, and monitoring techniques where applicable
• Follow secure coding and access control best practices
• Stays abreast of emerging AI/ML engineering trends and incorporates innovative techniques into Mastercard's AI ecosystem
• Mentors team members by sharing best practices, innovative techniques, and emerging trends to develop expertise and capabilities around their discipline
All About You:
• Advanced expertise integrating generative AI, LLMs, prompt engineering, and RAG architectures into business applications
• Extensive experience deploying production-grade AI applications that leverage evaluation, observability and monitoring
• Strong experience in software engineering (Python, Java, C#, or similar)
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerized deployments.
• Solid understanding of data structures, algorithms, and system design
• Detail oriented with a passion for automation and adopting emerging technologies
• Experience advising / strategizing AI roadmaps and technology adoption
Desirable Capabilities
• Finance process fluency + leadership skills
• Strong communication skills / experience communicating with senior leaders and executives
• Excels working on a global team, communicating plans and leading execution across time zones
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.
Additional Information
- Posted: Jul 21, 2026