Senior Principal Agentic Platforms Architect

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Senior Principal Agentic Platforms Architect – leading enterprise AI platform architecture at Mastercard.

Hands‑on coding, orchestration, and security‑focused leadership in AI with Python, LangChain, AWS, Kubernetes, and more.

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary Senior Principal Agentic Platforms ArchitectOverview

The AI Center of Excellence is seeking a Senior Principal Agentic Platforms Architect to lead the technical vision, architecture, and hands‑on development of Mastercard's enterprise agentic AI platforms. This role demands deep, demonstrated expertise in building and shipping production‑grade AI and agentic systems at enterprise scale, combined with the architectural rigor required to operate within one of the most highly regulated and security‑conscious environments in the world. Reporting to senior leadership, you will own the E2E platform architecture for agentic AI systems, from runtime orchestration and governance infrastructure through to production deployment and operational lifecycle management. This is not a strategy‑only role. You will write code, review code, and hold the team to the highest standards of engineering excellence. The right candidate has spent their career building AI systems that run in production, not prototypes, not proofs of concept, but systems that operate at scale, under load, and under scrutiny

Role

• Serve as the principal technical authority for agentic AI platform architecture, owning the design and evolution of runtime environments, governance layers, orchestration engines, and multi‑tenancy infrastructure that support enterprise‑grade AI agent deployment
• Lead hands‑on architecture and development of agentic systems, including agent orchestration frameworks, tool and model integration layers, policy enforcement engines, guardrail systems, behavioral monitoring pipelines, and evaluation infrastructure
• Design and implement scalable, resilient platform architectures that support multi‑agent coordination, A2A communication protocols, memory governance, and real‑time observability across distributed deployments
• Drive the technical strategy for model integration and abstraction, enabling model‑agnostic agent execution across multiple providers while enforcing cost optimization, routing intelligence, and governance controls at the platform level
• Architect and build API‑first platform interfaces that enable both internal teams and external consumers to build, deploy, govern, and operate AI agents through programmatic, language‑agnostic access patterns
• Define and enforce engineering standards, code quality practices, and architectural governance across the platform engineering team, ensuring every component meets production‑grade requirements for security, resilience, performance, and compliance
• Provide deep technical leadership on agentic AI design patterns, including retrieval‑augmented generation, tool calling via Model Context Protocol, multi‑step orchestration, human‑in‑loop workflows, and autonomous decision‑making architectures
• Act as a trusted technical advisor to senior leadership, translating complex platform architecture decisions into clear, business‑oriented language that supports informed decision‑making at the executive level
• Mentor and develop a high‑performing engineering team, fostering a culture of technical excellence, intellectual honesty, rigorous code review, and continuous improvement
• Produce and maintain authoritative architectural documentation, including system design documents, architecture decision records, and integration specifications that meet Mastercard's engineering principles and security standards

All About You

• 15+ years of hands‑on experience in software engineering and AI engineering, with a significant and demonstrable portion spent designing, building, and shipping AI and machine learning systems to production at enterprise scale
• Proven track record of architecting and delivering agentic AI systems, autonomous agents, multi‑agent orchestration platforms, or AI‑powered automation systems that operate in production with real users, real data, and real consequences
• Deep hands‑on coding proficiency. You write production code, you review production code, and you hold others to the same standard. This is a building role, not a diagram‑drawing role
• Advanced expertise in Python and modern AI/ML frameworks, with hands‑on experience across agentic toolkits such as LangChain, LangGraph, CrewAI, or equivalent orchestration frameworks
• Strong architectural experience with cloud‑native platforms including AWS, Databricks, and Kubernetes, with demonstrated ability to design for high availability, fault tolerance, and horizontal scalability
• Deep understanding of AI governance, trust, and safety architectures, including guardrail systems, policy engines, behavioral analytics, evaluation frameworks, red teaming methodologies, and compliance mapping
• Experience designing and building multi‑tenant platforms with fine‑grained access control, workspace isolation, and enterprise‑grade identity and authorization systems
• Proven ability to design API‑first architectures, RESTful interfaces, and SDK abstractions that serve both internal platform teams and external consumers
• Strong understanding of data architectures including Delta Lake, data lakehouse patterns, vector databases and retrieval‑augmented generation pipelines
• Demonstrated experience with tool calling architectures and model‑agnostic integration patterns across multiple LLM providers
• Exceptional communicator who can articulate deeply technical architecture decisions to engineering teams and translate complex platform concepts into business language for non‑technical stakeholders
• Known for building trust, holding high standards, and mentoring engineers. You make the people around you better. Motivated by hard problems, not titles. You bring intellectual curiosity, resilience, and relentless energy to complex technical challenges
• Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degree preferred but not required if the experience speaks for itself

Corporate Security Responsibility

• All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
• Abide by Mastercard's security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.