Software Engineer II - Backend​/Platform Agentic AI

Title and Summary

Software Engineer II - Backend/Platform Agentic AI

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.

• Build and operate services delivering AI‑powered features to customers, ensuring correctness, performance, and reliability in a multi‑tenant distributed environment
• Implement agentic workflows and LLM integrations from design specifications, including tool calling, retrieval patterns, prompt management, and streaming responses
• Own delivery end‑to‑end: design, development, testing, deployment, documentation, and production support
• Contribute to CI/CD pipelines, automated testing, and release processes to ensure consistent, reliable delivery
• Monitor, debug, and improve AI systems—resolving production issues, optimizing latency, and maintaining service health
• Collaborate with senior engineers and platform teams to integrate PI‑specific capabilities into shared AI infrastructure
• Follow and contribute to engineering best practices for code quality, testing, observability, security, and reliability
• Ensure adherence to Mastercard standards for AI governance, Responsible AI, and data security in a regulated environment

• 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 time

• Strong proficiency in Java for backend and service development
• Experience integrating AI/ML capabilities in production (LLM APIs, model serving, retrieval pipelines, or similar)
• Strong understanding of REST APIs, microservices architecture, and distributed systems fundamentals
• Experience with CI/CD practices, including branching, build automation, quality gates, and deployment pipelines
• Working knowledge of production operations: logging, metrics, monitoring, and incident response
• Experience with cloud platforms (AWS or Azure)

• Python experience for AI/ML scripting, experimentation, or tooling
• Familiarity with agentic AI frameworks (Lang Graph, Lang Chain, or similar)
• Experience with Databricks, Snowflake, or similar cloud data platforms
• Experience with RAG patterns, vector databases, or semantic search
• Exposure to prompt engineering and commercial LLM APIs (OpenAI, Anthropic, Azure OpenAI)
• Experience with Kubernetes, Docker, or container orchestration
• Familiarity with analytics platforms, data pipelines, or BI tools
• Experience in financial services or other regulated environments

Mastercard 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 reasonable 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.

• 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.

Arlington, Virginia: $106,000 - $169,000 USD