Mastercard, a global payments and technology leader operating in over 200 countries, is inviting applications for the role of AI Engineer in Gurgaon, India.
This opportunity is ideal for candidates passionate about Artificial Intelligence, Generative AI, Agentic AI systems, and enterprise‑grade AI solutions. The role is part of the Global Pricing & Interchange (P&IC) team, which drives Mastercard’s economics strategy, revenue optimization, and commercial transformation initiatives.
Job Overview
| Details | Information |
|---|---|
| Company | Mastercard |
| Role | AI Engineer |
| Job ID | R‑287145 |
| Location | Gurgaon, India |
| Category | AI & Data |
| Job Type | Full‑Time |
| End Date | August 30, 2026 |
Key Responsibilities
As an AI Engineer at Mastercard, you will:
- Design, develop, and deploy AI/ML, Generative AI, and Agentic AI solutions.
- Build and maintain LLM applications, RAG pipelines, intelligent agents, and multimodal AI solutions.
- Architect AI agent orchestration frameworks and communication protocols.
- Develop scalable backend services, APIs, and supporting components.
- Collaborate with business stakeholders to identify high‑impact AI opportunities.
- Build cloud‑native AI/ML pipelines using Azure, AWS, Databricks, Microsoft Fabric.
- Implement MLOps and LLMOps practices for deployment, monitoring, and lifecycle management.
- Evaluate emerging AI technologies through proofs of concept.
- Ensure compliance with security, privacy, governance, and Responsible AI standards.
- Implement Responsible AI controls: bias monitoring, hallucination mitigation, explainability, model validation, AI safety guardrails.
Qualifications
- Bachelor’s/Master’s in Computer Science, AI, ML, Engineering, Data Science.
- Experience designing and deploying AI/ML or Generative AI solutions in production.
- Hands‑on with LLMs, Agentic AI systems, RAG architectures.
- Expertise with OpenAI, Azure OpenAI, Gemini, Hugging Face, LangChain, LangGraph.
- Strong Python programming skills (APIs, microservices, production AI apps).
- SQL and large‑scale data processing (Spark, cloud data platforms).
- Familiarity with MLOps, CI/CD pipelines, model monitoring.
- Knowledge of TensorFlow, PyTorch, predictive modeling, deep learning.
- Experience implementing Responsible AI practices.
- Strong analytical, problem‑solving, and communication skills.
- Financial services, fintech, or payments experience is desirable.
Why This Role Is Attractive
- Work on enterprise‑grade AI solutions impacting global payments.
- Exposure to LLMs, RAG, Agentic AI, and multimodal AI systems.
- Collaborate with global business and technology teams.
- Opportunity to shape AI‑enabled decision‑making at scale.
- Inclusive workplace with strong benefits (health plans, parental leave, retirement options, education reimbursement).
Final Thoughts
The Mastercard AI Engineer role in Gurgaon is a career‑defining opportunity for professionals passionate about AI, Generative AI, and enterprise innovation.
With exposure to LLMs, RAG, Agentic AI systems, cloud platforms, and Responsible AI practices, this role provides a strong foundation for building impactful AI solutions in the financial technology domain.