Mastercard

3 months ago

Director- Agentic AI Architect & AI Designer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead the design and delivery of enterprise-grade, multi-agent AI platforms using agentic frameworks and large language models. Architect airborne intelligence workflows, integrate diverse LLMs, and drive production deployment on cloud infrastructure before mentoring a high-impact AI engineering team. Partner with product, platform, and domain teams to translate complex operational needs into scalable AI solutions.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Director level

Key Responsibilities

•Lead the technical design and implementation of intelligent, autonomous systems using modern agentic frameworks and LLMs.
•Architect and develop enterprise-grade, multi-agent LLM systems with guardrails, routing, and recovery logic.
•Build modular agent components for use cases including classification, routing, reconciliation, anomaly detection, and reasoning.
•Deploy and operate systems on cloud-native infrastructure such as AWS EKS and Azure AKS with CI/CD and observability tooling.
•Following initial platform launch, build and lead a high-impact AI engineering team.

Pay and Benefits

Salary: USD 179,000 - 305,000 annually

Key Requirements

•Hands-on experience leading the architecture and delivery of an enterprise agentic AI product from initial build through production scaling.
•Hands-on experience designing and implementing Graph RAG systems using knowledge graphs.
•Hands-on experience developing MCP servers, schemas, and tools for agent-to-tool interaction.
•Proven experience deploying AI/ML and multi-agent systems into production environments.
•Strong foundation in distributed systems and microservices architectures.

Experience:PaymentsOperational intelligence

Skills:Agentic frameworksGraph ragMemory strategiesMCPPythonFastAPIMongoDBRedisKubernetesDockerAPIsOpenAILangGraphLangChainAutoGenAgentCoreStrandsGPT-4oClaudeLLaMA

Languages:English

Tech Stack:PythonSQLAPIsKubernetesDockerFastAPIMongoDBRedisLangGraphLangChainAutoGenAgentCoreStrandsOpenAI Agent SDKGPT-4oClaudeLLaMAMistralCI/CDOpenTelemetry

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

3 months ago

Director- Agentic AI Architect & AI Designer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Director level

Key Responsibilities

•Lead the technical design and implementation of intelligent, autonomous systems using modern agentic frameworks and LLMs.
•Architect and develop enterprise-grade, multi-agent LLM systems with guardrails, routing, and recovery logic.
•Build modular agent components for use cases including classification, routing, reconciliation, anomaly detection, and reasoning.
•Deploy and operate systems on cloud-native infrastructure such as AWS EKS and Azure AKS with CI/CD and observability tooling.
•Following initial platform launch, build and lead a high-impact AI engineering team.

Pay and Benefits

Salary: USD 179,000 - 305,000 annually

Key Requirements

•Hands-on experience leading the architecture and delivery of an enterprise agentic AI product from initial build through production scaling.
•Hands-on experience designing and implementing Graph RAG systems using knowledge graphs.
•Hands-on experience developing MCP servers, schemas, and tools for agent-to-tool interaction.
•Proven experience deploying AI/ML and multi-agent systems into production environments.
•Strong foundation in distributed systems and microservices architectures.

Experience:PaymentsOperational intelligence

Skills:Agentic frameworksGraph ragMemory strategiesMCPPythonFastAPIMongoDBRedisKubernetesDockerAPIsOpenAILangGraphLangChainAutoGenAgentCoreStrandsGPT-4oClaudeLLaMA

Languages:English

Tech Stack:PythonSQLAPIsKubernetesDockerFastAPIMongoDBRedisLangGraphLangChainAutoGenAgentCoreStrandsOpenAI Agent SDKGPT-4oClaudeLLaMAMistralCI/CDOpenTelemetry

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