Principal Applied AI App Engineer

Posted An Hour Ago
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Pune, Maharashtra, IND
Hybrid
Expert/Leader
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
We are a global technology company in the payments industry.
The Role
Design and build production-grade AI applications embedding ML/LLM capabilities. Integrate trained models into APIs, services, UIs, and workflows. Operationalize models (versioning, deployment, monitoring), implement guardrails, ensure security/privacy/compliance, apply bias mitigation and explainability, and mentor team members on AI engineering best practices.
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
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.

Skills Required

  • Integrate generative AI, LLMs, prompt engineering, and RAG into business applications
  • Deploy production-grade AI applications with evaluation, observability, and monitoring
  • Strong software engineering experience (Python, Java, C#, or similar)
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and containerized deployments
  • Experience with model versioning, deployment, and MLOps practices
  • Knowledge of machine learning and deep learning concepts and integration
  • Solid understanding of data structures, algorithms, and system design
  • Experience implementing responsible AI practices (bias mitigation, explainability, guardrails)
  • Experience advising or strategizing AI roadmaps and technology adoption
  • Finance process fluency and leadership/communication skills with senior stakeholders

What the Team is Saying

Jenny
Mastercard

Mastercard Compensation & Benefits Highlights

  • Retirement Support A 10% company retirement match (401k or equivalent) is explicitly highlighted in company materials. This level of employer contribution stands out as a core strength of the package.
  • Leave & Time Off Breadth A global minimum of 16 weeks fully paid new‑parent leave and generous U.S. PTO (vacation, personal days, holidays, sick time, and bereavement) are clearly spelled out. These provisions indicate broad time‑off coverage across life events.
  • Wellbeing & Lifestyle Benefits Hybrid work, a four‑week “work from elsewhere” option, meeting‑free well‑being days, five paid volunteer days, mental‑health resources, and fitness reimbursement/on‑site gyms are emphasized. Together they reflect a holistic approach to flexibility and wellbeing.

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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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Hybrid Workspace

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.

Typical time on-site: 3 days a week
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