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About the Role

Lead the technical vision, architecture, and hands-on development of Mastercard's enterprise agentic AI platforms. This role demands deep expertise in building and shipping production-grade AI and agentic systems at enterprise scale within a highly regulated environment. You will own the E2E platform architecture for agentic AI systems, from runtime orchestration and governance through to production deployment and operational lifecycle management. This is a hands-on role involving coding and code reviews.

Responsibilities

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.
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.
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.
Architect and build API-first platform interfaces for internal teams and external consumers to build, deploy, govern, and operate AI agents.
Define and enforce engineering standards, code quality practices, and architectural governance.
Provide deep technical leadership on agentic AI design patterns, including retrieval-augmented generation, tool calling, 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 business-oriented language.
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.

Requirements

15+ years of hands-on experience in software engineering and AI engineering, with a significant 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.
Deep hands-on coding proficiency; writing and reviewing production code.
Advanced expertise in Python and modern AI/ML frameworks.
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.
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.
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 and translate complex platform concepts into business language.
Ability to build trust, hold high standards, and mentor engineers.
Motivated by hard problems, bringing intellectual curiosity, resilience, and relentless energy.
Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degree preferred but not required if experience is sufficient.

Skills

Python
AI/ML frameworks
LangChain
LangGraph
CrewAI
AWS
Databricks
Kubernetes
AI governance
Trust and safety architectures
Guardrail systems
Policy engines
Behavioral analytics
Evaluation frameworks
Red teaming methodologies
Multi-tenant platforms
API-first architectures
RESTful interfaces
SDK abstractions
Delta Lake
Data lakehouse patterns
Vector databases
Retrieval-augmented generation
Tool calling architectures
Model-agnostic integration patterns
LLM providers

Location

200+ countries and territories worldwide

Work Type

Full-time

Experience Level

Senior Principal
15+ years of experience

Education Level

Bachelor's degree in Computer Science, Engineering, or a related field

About the Company

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.
Everyone wants easier ways to pay; we invent them.
Checkout lines are slow; we speed them along.
Merchants want more sales; we give them data and insights.
People need financial access; we connect them.
Corporate purchasing is complicated; we make it simple.
Commuters are busy; we speed them on their way.
Governments need greater efficiencies; we help create them.
Small businesses are virtual; we give them access to a world of buyers.
Retailers want to fight fraud; we provide the tools.

Equal Opportunity

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.