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Develops production-ready agentic AI systems and scalable integrations using AI-first software engineering practices. Designs multi-agent workflows, evaluates AI models, applies emerging standards, and works across the full software development lifecycle. The role also includes developer advocacy through demos, workshops, thought leadership, and executive presentations, while mentoring engineers and advancing code quality, developer experience, and innovation.

Develop production-ready agentic AI systems and scalable software using AI-first practices across the full SDLC. Evaluate AI models, build multi-agent workflows and integrations, apply emerging standards, and deliver demos, workshops, and thought leadership to engineering and executive audiences. The role also involves mentoring, developer advocacy, innovation, and collaboration across Mastercard Foundry and the broader organization.

Designs and builds agentic AI systems and scalable software integrations using modern AI tools and orchestration patterns. Evaluates AI models, applies emerging standards, and works AI-first across the software development lifecycle. The role also involves developer advocacy through demos, workshops, thought leadership, and executive presentations. Responsibilities include production software engineering, mentoring, improving developer experience and code quality, and collaborating in an R&D environment to accelerate product innovation.

Develop production-ready agentic AI systems and scalable software integrations using AI-first practices across the software development lifecycle. Evaluate AI models and emerging tools, apply standards such as MCP and AGENTS.md, and collaborate in an R&D environment. Deliver demonstrations, workshops, and thought leadership to engineering leaders and executives while mentoring teammates and advancing developer experience, code quality, security, and innovation.

Develop production-ready agentic AI systems and scalable software using AI-first practices across the full software development lifecycle. Evaluate AI models, build multi-agent workflows and integrations, and apply emerging standards such as MCP and AGENTS.md. The role also involves demos, workshops, executive presentations, developer advocacy, mentoring, and collaboration in an R&D environment.

Develops production-ready Agentic AI systems and scalable software integrations using AI-first practices across the SDLC. Evaluates AI models and emerging frameworks, applies standards such as MCP and AGENTS.md, and uses modern AI tooling. The role also includes product ideation, stakeholder presentations, demos, workshops, thought leadership, developer advocacy, mentoring, and collaboration with engineering leadership and executives.

Develop AI-first software and agentic AI systems using multi-agent workflows, tool-calling, and orchestration. Build scalable production integrations, evaluate AI models, and apply emerging standards. Deliver demos, workshops, and thought leadership to technical and executive audiences while collaborating across Mastercard. The role also requires modern full-stack engineering, cloud-native development, security awareness, mentoring, and strong communication in an R&D environment.

Develop AI-native, production-ready software, including agentic AI systems, multi-agent workflows, tool-using agents, and integrations. Evaluate AI models, apply emerging standards, and work across the full software development lifecycle. Deliver demos, workshops, and thought leadership to engineering leaders and executives while mentoring colleagues and advancing developer experience, code quality, and innovation.

Designs and builds agentic AI systems, multi-agent workflows, tool-using agents, and scalable production software. Evaluates AI models, applies emerging AI standards, and develops integrations using modern software engineering technologies. Acts as an AI developer advocate through demos, workshops, and executive presentations while mentoring engineers, promoting developer experience, and driving innovation in an R&D environment.

Develop and evolve Mastercard’s high-volume, cloud-native Java platform for fraud prevention, identity validation, and AI-backed decision-making. Responsibilities include defining architecture and technical strategy, designing distributed systems and microservices, driving proofs of concept, supporting implementation, ensuring scalability and resilience, and promoting engineering best practices across teams.