Senior Software Engineer - Backend/Platform Agentic AI

Mastercard
United States
Workplace: OnsiteFull timeUSD 132,000 - 212,000 annuallyFunction: Software EngineeringSkills: ["Communication","Leadership","Collaboration","Mentoring","Problem-solving"]

Senior individual contributor role leading hands-on delivery of production AI systems within Mastercard’s Portfolio Intelligence platform. You will drive end-to-end development of agentic AI capabilities (design through production) using Java and Python, shape architecture and integration strategies, ensure multi-tenant data isolation, and partner with product and external vendors to scale AI solutions in a regulated, enterprise environment.

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FursaFursa
Mastercard
Mastercard
3 months ago

Senior Software Engineer - Backend/Platform Agentic AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Status: Live

Job Summary

Senior individual contributor role leading hands-on delivery of production AI systems within Mastercard’s Portfolio Intelligence platform. You will drive end-to-end development of agentic AI capabilities (design through production) using Java and Python, shape architecture and integration strategies, ensure multi-tenant data isolation, and partner with product and external vendors to scale AI solutions in a regulated, enterprise environment.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead end-to-end development of agentic AI systems from design through production, including orchestration, tool calling, context engineering, retrieval, and streaming responses
  • •Define technical direction for AI capabilities within the PI platform, driving architecture, design patterns, and integration strategies
  • •Build and operate AI-enabled services in Java and Python within a multi-tenant, customer-facing environment, ensuring scalability, reliability, and strict data isolation
  • •Design and implement production-grade AI infrastructure, including prompt management, evaluation frameworks, guardrails, observability, and cost/token telemetry
  • •Partner with platform teams, vendors, and product teams to deliver integrated, end-to-end AI solutions and establish engineering standards and performance metrics

Pay and Benefits

Salary: USD 132,000 - 212,000 annually
Perks:Health Insurance401kPaid LeaveGym MembershipHolidaysLife Insurance

Key Requirements

  • •Expertise with Java for backend services (Spring Boot, microservices) and Python for AI/ML development (agentic tooling, scripting, integrations)
  • •Hands-on experience building LLM-powered production systems (API integration, prompt management, streaming, error handling, cost management)
  • •Experience with agentic frameworks (LangGraph, LangChain, or similar), RAG pipelines, or AI orchestration systems
  • •Proven ability to design scalable distributed systems with strong observability (logging, metrics, tracing, alerting)
  • •Strong ownership of CI/CD and modern SDLC practices (automated testing, quality gates, deployment automation)
Experience:PaymentsFintechAIEnterprise
Skills:CommunicationLeadershipCollaborationMentoringProblem-solving
Tech Stack:JavaSpring BootMicroservicesPythonLangGraphLangChainRAGLLMObservabilityCI/CDAWSAzureKubernetesDatabricksSnowflakeVector databases

Company Brief

Mastercard
Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Purchase, New York, United States
Founded: 1966
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