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    Job · 12467244

    Mastercard logo

    Principal Applied AI App Engineer

    Mastercard · Pune · onsite · Posted 63d ago

    Undisclosed5–9 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    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:

    • 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.






    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Skills

    data qualityAutomationgoogle cloud platformMonitoringData StructurescodingPythonanalyticalSystem DesignMachine Learning

    About MasterCard

    Mastercard logo

    Mastercard

    FinTech

    7.9k+

    employees

    1966

    60 years old

    Purchase,New York

    United States

    About

    Payments Technology company enabling transactions

    Industries

    FinTechFinancial ServicesInternet

    Employee ratings

    1,001 reviews

    3.8/ 5

    Culture

    3.8

    Career growth

    3.1

    Work-life

    3.8

    Employees rate it well for

    Work Life Balance231Work Culture142Salary110Senior Management75Job Security55

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