Home/Jobs/AI Engineer AI Engineer Mastercard Pune 3-5 years Today $26.5K–41.0K/yr Full-time Onsite Skills Required LLM Gen AI Agentic AI RAG LangChain LLMOps Prompt Engineering Vector Database Azure Databricks AWS AI Machine Learning MLOps Responsible AI Description Mastercard is hiring an AI Engineer for its Global Business Services Center (GBSC) Analytics and Automation team. The role focuses on building AI and Generative AI solutions that improve business insights, operational efficiency, and decision-making.

Company: Mastercard Role: AI Engineer Location: Pune, India, 411006 Experience Hands-on experience 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

Familiarity with containerization technologies such as Docker or Kubernetes

Familiarity with APIs, data pipelines, ETL processes, or cloud-based integrations

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 rapid-evolving AI engineering environment Qualification Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related technical field Responsibilities Design, develop, and implement AI and Generative AI solutions

Build solutions using LLMs, Agentic AI frameworks, RAG architectures, and cloud AI platforms

Develop and maintain scalable AI/ML pipelines and data preparation workflows

Create cloud-native integrations using Azure, Databricks, and AWS





Integrate AI capabilities with APIs, databases, cloud services, and internal applications

Support deployment, testing, monitoring, and operational maintenance of AI/ML solutions

Apply MLOps and LLMOps best practices

Implement Responsible AI and AI governance practices

Work on bias detection, hallucination mitigation, explainability dashboards, and output safety guardrails

Support compliance with data ethics standards

Stay updated on emerging trends and technologies related to Generative AI, LLMs, Agentic AI, and cloud platforms Additional Responsibilities Support business questions with data analysis and strategic guidance

Help drive operational efficiency

Use data analysis techniques to discover actionable insights

Communicate data in new and more effective ways to influence business decisions

Support long-term customer engagement, process improvement, productivity, and evolving business practices Nice To Have Exposure to AI/ML frameworks, vector databases, or orchestration frameworks such as LangChain or similar technologies More Skills Agentic AI frameworks, cloud AI platforms, AI/ML pipelines, data preparation workflows, cloud-native integrations, APIs, databases, cloud services, internal applications, AI governance, bias detection, hallucination mitigation, explainability dashboards, output safety guardrails, data ethics, Python, Spark, SQL, Docker, Kubernetes, ETL,



AI/ML frameworks, Git Other Global Business Services Center (GBSC) Analytics and Automation team

Team described as an idea incubator with leadership abilities, innovative mindsets, and strong business and technical acumen

Team supports various GBSC initiatives with in-depth analysis and strategic guidance

Corporate security responsibility applies to this role

Must abide by Mastercard’s security policies and practices

Must ensure confidentiality and integrity of accessed information

Must report suspected information security violations or breaches

Must complete periodic mandatory security trainings in accordance with Mastercard’s guidelines

Job Type: Full time

Category: AI & Data

Job Id: R-279646 Follow for Daily AI Tutorials Prepare for this role Recommended resources to build the skills for this position. Sponsored. Generative AI with Large Language Models Coursera Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment. Functions, Tools and Agents with LangChain Coursera Advanced LangChain covering function calling, tool use, and conversational agents.

Deep Learning Specialization Coursera

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