Posted: 18 June
The role
Title and SummarySenior Software EngineerOverviewThe Program Modernization team at MasterCard drives transformation and champions modernization across technology, risk, and service operations. We establish the foundation for scalable programs, resilient systems and control governance that empowers transformation.The mission of the Technology Modernization team is to enable all the Mastercard programs across the organization to thrive in an evolving regulatory environment by fostering a culture of strong technology controls and effective execution. The team designs and delivers innovative, data-driven solutions that fulfill assurance obligations and regulatory requirements by proactively identifying risks, building real-time tools that leverage technology to continuously test and monitor the control environment. These capabilities enable an audit‑ready compliance portal for inventorying, managing, testing, and evidencing technology controls.Mastercard is committed to driving innovation through advanced technologies and data-driven insights. We are seeking a Senior Engineer to design and deliver scalable, enterprise‑grade AI solutions that enhance our digital capabilities and customer experiences.This role will focus on building intelligent, production‑ready systems leveraging large language models (LLMs), knowledge bases with vector search, and modern cloud/data platforms, while ensuring alignment with Mastercard’s standards for security, performance, and reliability.Role & ResponsibilitiesDesign, develop, and deliver AI‑powered solutions leveraging modern architectures, including LLM‑based systems and retrieval‑augmented generation (RAG)Build and maintain enterprise knowledge bases with vector search capabilities, enabling semantic search and intelligent information retrievalDevelop LLM‑driven applications using frameworks such as LangChain, including prompt engineering, chaining, and orchestration patternsImplement and integrate solutions leveraging Model Context Protocols (MCP) or equivalent model interaction frameworksArchitect scalable and secure solutions across cloud and data ecosystems, including AWS, Cloudera, and DatabricksCollaborate cross‑functionally with product, engineering, and data teams to translate business needs into AI‑enabled solutionsDevelop and maintain robust APIs and microservices to support AI applications and front‑end integrationsEnsure solutions adhere to Mastercard’s standards for data governance, security, compliance, and operational excellenceMonitor and optimize model performance, reliability, and scalability in production environmentsContribute to technical design discussions, mentor junior engineers, and promote engineering best practicesAll About YouProven experience (8–12 years) in software engineering, with strong focus on AI/ML and distributed systemsBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related disciplineStrong proficiency in Python, with experience building scalable backend systemsExperience with Angular or similar frontend frameworks for building user‑facing AI applicationsHands‑on experience with LLM frameworks (e.g., LangChain) and building RAG‑based systemsExpertise in designing knowledge bases with vector search and working with embedding modelsStrong experience with cloud platforms, particularly AWS, and familiarity with Cloudera and Databricks ecosystemsSolid understanding of system design, APIs, and microservices architecturePreferred SkillsExperience with Model Context Protocol (MCP) or similar AI orchestration frameworksExperience with vector databases such as PGVector, GraphDBFamiliarity with MLOps practices, including CI/CD pipelines, monitoring, and lifecycle managementKnowledge of containerization and orchestration (Docker, Kubernetes)Experience working in highly regulated, large‑scale enterprise environmentsStrong problem‑solving and analytical thinkingAbility to operate effectively in a collaborative, fast‑paced environmentExcellent communication and stakeholder engagement skillsDemonstrated ownership and accountability for end‑to‑end deliveryCommitment to continuous learning and staying current with emerging AI technologiesCorporate Security ResponsibilityAll activities involving access to Mastercard assets, information, and networks must comply with Mastercard’s security policies and standards.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, andComplete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
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