MastercardPrincipal Applied AI App Engineer
Mastercard is hiring a Principal Applied AI App Engineer for a remote role open to applicants in India. Level rates it ; you can apply on Mastercard.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- The posting lists this role as remote.
- Tools and skills the posting cites include LLM, APIs and Machine learning.
- Level classifies it as a lead role.
- Level lists 967 other open roles at Mastercard.
AI in this role
Design and develop production-grade enterprise applications embedding machine learning and generative AI capabilities.
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 EngineerWho 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.
How we rate this
Principal Applied AI App Engineer at Mastercard rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a project where applied ai was part of your work. What did you do?
- Tell me about a project where generative ai was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI Safety, Applied AI, and Generative AI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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