Ai Engineer

AI Engineer

Job Description Summary
We believe in power of data. We think creatively, design smart, simple to use, cost-effective solutions that empower our customer with actionable insights. The Global Business Services Center (GBSC) Analytics and Automation team is built upon strong contributors with leadership abilities, innovative mindsets and with strong business and technical acumen. The team acts as an idea incubator supporting various GBSC initiatives by providing in-depth analysis and strategic guidance. The team identifies ways to leverage data for answering business questions and driving operational efficiency. We innovate using new age technologies and data analysis techniques to discover actionable insights and communicate data in new and more effective ways for influencing business decisions, encouraging long-term customer engagement, improving processes and productivity, and overall evolving the way we do business.

Key Responsibilities:
• Design, develop, and implement AI and Generative AI solutions using LLMs, Agentic AI frameworks, RAG architectures, and cloud AI platforms.
• Develop and maintain scalable AI/ML pipelines, data preparation workflows, and cloud-native integrations using platforms such as Azure, Databricks, and AWS.
• Assist in integrating AI capabilities with APIs, databases, cloud services, and internal applications.
• Support deployment, testing, monitoring, and operational maintenance of AI/ML solutions following MLOps and LLMOps best practices.
• Implement Responsible AI and AI governance practices including bias detection, hallucination mitigation, explainability dashboards, output safety guardrails, and compliance with data ethics standards to support transparency and fairness of deployed AI solutions.
• Stay updated on emerging trends and technologies related to Generative AI, LLMs, Agentic AI and cloud platforms
Preferred Qualifications:
• Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related technical field.
• Hands-on experience in developing and successfully deploying production-level AI applications
• Experience with Python, Spark or SQL.
• Basic understanding of LLMs, Generative AI concepts, prompt engineering, and AI/ML workflows.
• Exposure to at least one cloud platform or AI ecosystem such as Azure, AWS, Databricks, Microsoft Fabric, or Microsoft Copilot technologies, along with familiarity with containerization technologies such as Docker or Kubernetes.
• Familiarity with APIs, data pipelines, ETL processes, or cloud-based integrations.
• Exposure to AI/ML frameworks, vector databases, or orchestration frameworks such as LangChain or similar technologies is a plus.
• Understanding of software development lifecycle, deployment processes, and version control tools such as Git.
• Strong analytical, problem-solving, and communication skills.
• Eagerness to learn emerging AI technologies and work in a fast-evolving AI engineering environment.

Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position 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.

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.