Mastercard

1 month ago

Director, Software Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Director, Software Engineering leads hands-on delivery of AI-enabled software platforms. responsible for defining engineering strategy for agentic applications, building scalable, secure, production-grade systems, and shaping reusable AI frameworks. partners with Applied AI, Data Science, Product, Security, Risk and Platform teams to drive adoption of AI tooling and govern enterprise-grade software delivery.

Location: Dublin

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Director level

Key Responsibilities

•Define and lead the engineering vision for agentic applications, agent frameworks, and reusable AI platform capabilities across products and teams.
•Build and scale engineering teams that create agents as product capabilities, agent personas for targeted workflows, and orchestration layers supporting multi-step reasoning, tool use, and action execution.
•Drive the architecture and delivery of production-grade agentic systems, including context management, memory, tool integration, workflow orchestration, observability, evaluation, and safety guardrails.
•Establish a common agentic engineering framework that standardizes how teams design, build, test, deploy, monitor, and improve intelligent agents at enterprise scale.
•Partner with Product, Data Science, Security, Risk, and Platform teams to identify high-value use cases and translate them into scalable software solutions.

Key Requirements

•Extensive experience leading software engineering organizations in product/platform environments
•Strong track record building scalable, secure, distributed systems and cloud-native platforms (AWS, Azure, Kubernetes)
•Hands-on experience with Generative AI, AI agents, workflow automation, and related tooling
•Deep understanding of agentic engineering concepts (tool calling, orchestration, memory, context handling, retrieval, evaluation, observability, human-in-the-loop)
•Experience creating reusable engineering frameworks or platform services that accelerate enterprise adoption of modern technologies

Experience:PaymentsEnterprise technologyAIFintech

Education:Bachelor's

Skills:LeadershipStakeholder managementCommunicationStrategic thinking

Tech Stack:AWSAzureKubernetesAPIsMicroservicesCloud-nativeLLMAITool callingOrchestration

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

Director, Software Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Dublin

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Director level

Key Responsibilities

•Define and lead the engineering vision for agentic applications, agent frameworks, and reusable AI platform capabilities across products and teams.
•Build and scale engineering teams that create agents as product capabilities, agent personas for targeted workflows, and orchestration layers supporting multi-step reasoning, tool use, and action execution.
•Drive the architecture and delivery of production-grade agentic systems, including context management, memory, tool integration, workflow orchestration, observability, evaluation, and safety guardrails.
•Establish a common agentic engineering framework that standardizes how teams design, build, test, deploy, monitor, and improve intelligent agents at enterprise scale.
•Partner with Product, Data Science, Security, Risk, and Platform teams to identify high-value use cases and translate them into scalable software solutions.

Key Requirements

•Extensive experience leading software engineering organizations in product/platform environments
•Strong track record building scalable, secure, distributed systems and cloud-native platforms (AWS, Azure, Kubernetes)
•Hands-on experience with Generative AI, AI agents, workflow automation, and related tooling
•Deep understanding of agentic engineering concepts (tool calling, orchestration, memory, context handling, retrieval, evaluation, observability, human-in-the-loop)
•Experience creating reusable engineering frameworks or platform services that accelerate enterprise adoption of modern technologies

Experience:PaymentsEnterprise technologyAIFintech

Education:Bachelor's

Skills:LeadershipStakeholder managementCommunicationStrategic thinking

Tech Stack:AWSAzureKubernetesAPIsMicroservicesCloud-nativeLLMAITool callingOrchestration

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