Mastercard

1 month 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

Last checked: 24 minutes agoStatus: 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

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Mastercard

1 month 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

Last checked: 24 minutes agoStatus: Live

Job Summary

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

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

Glassdoor: 4.1

Website LinkedIn Glassdoor