Jobs at Mastercard

Lead cross-functional technical programs end-to-end, manage dependencies, risks, and governance, align stakeholders and executives, and ensure delivery, testing, and operational readiness for agentic AI, LLM, and workflow-based solutions.

Lead cross-functional planning and execution of complex technical programs, coordinating engineering, product, design, data, and operations. Track dependencies, risks, and milestones; establish governance and reporting; engage executives and stakeholders; ensure testing, validation, scalability, reliability, and operational readiness for agentic AI, LLM, and workflow-based solutions.

Lead complex, cross-functional technical programs focused on agentic AI and LLM-powered solutions. Drive planning, dependency and risk management, governance, roadmaps, and executive reporting. Coordinate engineering, product, design, data, and operations; support testing, validation, scalability, reliability, and operational readiness for AI/agentic systems.

Lead cross-functional technical programs that deliver agentic AI, LLM-powered, and workflow automation solutions. Drive planning, dependency and risk management, stakeholder alignment, governance, roadmaps, and executive reporting. Support validation and testing strategies for agentic systems and ensure scalability, reliability, compliance, and operational readiness.

Lead complex, cross-functional technical programs—aligning engineering, product, design, data, and operations. Manage dependencies, risks, roadmaps, governance, and executive reporting. Drive validation and testing strategies for agentic AI, LLM-powered features, and workflow automation while ensuring scalability, reliability, compliance, and operational readiness.

Lead cross-functional technical programs end-to-end, coordinating engineering, product, design, data, and operations. Track dependencies, risks, and milestones; establish governance and reporting; partner with executives; and ensure validation, testing, reliability, and operational readiness for agentic AI, LLM-powered, and workflow automation initiatives.

Lead cross-functional technical programs for agentic AI, LLM-powered, and workflow automation initiatives. Drive planning, dependency and risk management, executive reporting, testing/validation strategies, operational readiness, and stakeholder alignment to ensure scalable, reliable delivery.

Lead cross-functional, end-to-end technical programs for AI/LLM and agentic systems. Coordinate engineering, product, design, data, and operations; manage dependencies, risks, roadmaps, testing/validation, and executive communication to ensure scalable, reliable, and production-ready AI and workflow solutions.

Lead end-to-end planning and execution of large, cross-functional technical programs. Coordinate engineering, product, design, data, and operations; manage dependencies, risks, governance, roadmaps, and executive communications. Support validation and testing strategies for agentic AI, LLMs, and workflow automation, ensuring scalability, reliability, compliance, and operational readiness.

Lead cross-functional technical programs for AI/LLM and agentic applications. Drive planning, dependency and risk management, governance, stakeholder communication, roadmaps, and testing/validation to ensure scalable, reliable, compliant production delivery.

Lead planning and execution of complex, cross-functional technical programs. Coordinate engineering, product, design, data, and operations. Track dependencies, risks, and milestones. Communicate with executives, establish governance, and ensure validation/testing, scalability, reliability, and operational readiness for agentic AI and LLM-powered solutions.

Lead the architecture, design, and development of scalable data-driven applications and platforms, guiding teams in engineering excellence and cloud technologies.

Lead engineer to design and build agentic AI tooling, services, and reusable patterns. Implement AI-enabled applications and developer-facing capabilities, evaluate models and frameworks, improve developer experience with automation and CI/CD, and collaborate with product and business stakeholders to prototype and scale solutions.

Design and build Agentic AI tooling, services, and integrations. Implement AI-enabled applications and developer-facing capabilities, evaluate models and frameworks, create reusable patterns, improve developer experience through automation, and partner across product and engineering to prototype, validate, and scale AI solutions.

Hands-on lead engineer building Agentic AI tooling, services, and reusable patterns. Design and implement AI-enabled applications and developer-facing capabilities, evaluate models and frameworks, improve developer experience through automation, and partner with stakeholders to prototype and scale AI solutions across Mastercard.

Lead and manage a software engineering team delivering AI and quantum-enabled products, define scalable solutions, drive agile execution, collaborate with data scientists and engineers, and promote innovation and technical strategy from research to production.

Lead and manage a multidisciplinary engineering team building scalable products that combine Quantum and AI/ML technologies. Drive project delivery using agile and AI-assisted processes, define requirements, design scalable solutions, engage external partners, and mentor engineering leaders to bring innovations to market globally.

Build and ship AI-enabled applications, tooling, and platform services focused on agentic and generative AI. Design integrations, evaluate models and frameworks, improve developer experience via automation, and collaborate across product and engineering to prototype, validate, and scale solutions.

Maintain and optimize z/OS mainframe communication infrastructure (VTAM, TCP/IP, SNA, Sysplex). Implement secure protocols (AT‑TLS, SSL, SFTP, FTPS, Connect:Direct), integrate with WebSphere/middleware, use z/OS USS, monitor and tune performance, assist capacity and disaster recovery planning, provide on‑call and customer implementation support, and recommend best practices.

Maintain and optimize z/OS communication infrastructure (VTAM, TCP/IP, SNA, Sysplex), implement secure protocols (AT-TLS, SSL, SFTP, FTPS, Connect:Direct), integrate with WebSphere and middleware, monitor and tune performance, support capacity and disaster recovery planning, and provide vendor/third-party software installation and diagnosis. Participate in on-call and weekend duties.