Director, Software Engineering

Mastercard
Dublin
Workplace: OnsiteFull timeFunction: Software EngineeringEducation: bachelorsSkills: ["Executive communication","Stakeholder management","Engineering judgment","Ownership","Adapts to ambiguity"]

Drive hands-on delivery of applied AI and agentic capabilities, building Mastercard Virtual C-Suite products. Define and deliver the engineering strategy for next-generation agentic applications, reusable agent frameworks, and enterprise AI enablement. Lead architecture and production-grade delivery for intelligent agents, partnering with Applied AI, Data Science, Product, Security, Risk, and Platform teams. Scale teams, establish engineering frameworks, and accelerate AI tooling adoption and modern engineering practices.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Mastercard
Mastercard
3 months ago

Director, Software Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Status: Live
Reposted: similar role first listed 7 months ago

Job Summary

Drive hands-on delivery of applied AI and agentic capabilities, building Mastercard Virtual C-Suite products. Define and deliver the engineering strategy for next-generation agentic applications, reusable agent frameworks, and enterprise AI enablement. Lead architecture and production-grade delivery for intelligent agents, partnering with Applied AI, Data Science, Product, Security, Risk, and Platform teams. Scale teams, establish engineering frameworks, and accelerate AI tooling adoption and modern engineering practices.
Location: Dublin
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Director level

Key Responsibilities

  • •Define and lead the engineering vision for agentic applications, agent frameworks, and reusable AI platform capabilities across multiple products and teams.
  • •Build and scale engineering teams to create agents as product capabilities, agent personas for workflows, and orchestration layers for multi-step reasoning and tool use.
  • •Drive architecture and delivery of production-grade agentic systems, including context management, memory, tool integration, workflow orchestration, observability, evaluation, and safety guardrails.
  • •Establish a common engineering framework to standardize how teams design, build, test, deploy, monitor, and improve intelligent agents at enterprise scale.
  • •Partner cross-functionally with Product, Data Science, Security, Risk, and Platform teams; lead AI-assisted engineering and developer tooling adoption.

Key Requirements

  • •Extensive experience leading software engineering organizations, including managers and multiple cross-functional teams, in product, platform, or enterprise technology environments.
  • •Strong track record building scalable, secure, resilient distributed systems and cloud-native platforms used across multiple teams or business domains.
  • •Hands-on experience building or scaling Generative AI, LLM-powered applications, AI agents, workflow automation, or adjacent intelligent software systems.
  • •Deep understanding of agentic engineering concepts including tool calling, orchestration, planning, memory, context handling, retrieval, evaluation, observability, and human-in-the-loop controls.
  • •Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (advanced degree preferred).
Education:Bachelor's in Computer Science, Software Engineering, or a related technical field
Skills:Executive communicationStakeholder managementEngineering judgmentOwnershipAdapts to ambiguity
Tech Stack:Generative AILLMAI agentsWorkflow automationTool callingOrchestrationAPIsMicroservicesEvent-driven systemsAWSAzureKubernetesObservability

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
Glassdoor: 4.1
WebsiteLinkedInGlassdoor