Software Engineer II - Backend/Platform Agentic AI

Software Engineer II - Backend/Platform Agentic AIMastercard 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. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.Overview:The Portfolio Intelligence (PI) program within Mastercard's Business & Market Insights (B&MI) division delivers analytics products that help financial institutions understand and grow their card portfolios. We're building a first-party AI platform that brings agentic, conversational, and generative AI capabilities directly into our products; powering features like natural-language analytics, automated report summaries, and personalized dashboard experiences for thousands of customers worldwide.This is a builder role. You will write code daily, own components end-to-end, and ship production-grade AI-enabled services within a multi-tenant, customer-facing platform. You'll work alongside senior engineers, architects, and product partners to implement agentic workflows, integrate LLM-powered capabilities into our existing Java/Spring Boot stack, and help operate AI systems in production.About the Role:Build and operate services delivering AI-powered features to customers, ensuring correctness, performance, and reliability in a multi-tenant distributed environmentImplement agentic workflows and LLM integrations from design specifications, including tool calling, retrieval patterns, prompt management, and streaming responsesOwn delivery end-to-end: design, development, testing, deployment, documentation, and production supportContribute to CI/CD pipelines, automated testing, and release processes to ensure consistent, reliable deliveryMonitor, debug, and improve AI systems—resolving production issues, optimizing latency, and maintaining service healthCollaborate with senior engineers and platform teams to integrate PI-specific capabilities into shared AI infrastructureFollow and contribute to engineering best practices for code quality, testing, observability, security, and reliabilityEnsure adherence to Mastercard standards for AI governance, Responsible AI, and data security in a regulated environmentAll About You:• Experience building and shipping AI-powered features in production environments• Strong Java engineering background, including building and maintaining Spring Boot microservices• Hands-on experience in applied AI/ML (LLM integration, RAG pipelines, agentic workflows, model serving, or inference services)• Familiar with production operations, including service ownership, incident response, and observability• Solid testing discipline with experience in unit and integration testing• Strong communication skills and ability to collaborate across distributed teams• Proactive ownership mindset—asks thoughtful questions, learns quickly, and improves from feedback and production insights• Motivated to grow AI engineering expertise and take on increasing technical scope over timeRequired skills to be considered:Strong proficiency in Java for backend and service developmentExperience integrating AI/ML capabilities in production (LLM APIs, model serving, retrieval pipelines, or similar)Strong understanding of REST APIs, microservices architecture, and distributed systems fundamentalsExperience with CI/CD practices, including branching, build automation, quality gates, and deployment pipelinesWorking knowledge of production operations: logging, metrics, monitoring, and incident responseExperience with cloud platforms (AWS or Azure)Nice-to-have:Python experience for AI/ML scripting, experimentation, or toolingFamiliarity with agentic AI frameworks (LangGraph, LangChain, or similar)Experience with Databricks, Snowflake, or similar cloud data platformsExperience with RAG patterns, vector databases, or semantic searchExposure to prompt engineering and commercial LLM APIs (OpenAI, Anthropic, Azure OpenAI)Experience with Kubernetes, Docker, or container orchestrationFamiliarity with analytics platforms, data pipelines, or BI toolsExperience in financial services or other regulated environmentsMastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact View email address on click.appcast.io and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.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, andComplete all periodic mandatory security trainings in accordance with Mastercard's guidelines.In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.Pay Ranges:Arlington, Virginia: $106,000 - $169,000 USD