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Principal Agentic Platforms Architect

Mastercard
London, GBR
Full-time
Senior · 12+ years experience
Onsite
Discovered 2 days ago
awsdatabricksdelta-lakekuberneteslangchainpython

Full Job Posting

Responsibilities

  • Own the enterprise agentic AI platform architecture, including runtime environments, orchestration, governance, multi-tenancy, policy enforcement, guardrails, observability, evaluation, and production lifecycle management
  • Lead hands-on architecture and development of scalable agentic systems, including multi-agent coordination, A2A communication, memory governance, tool calling, Model Context Protocol, human-in-the-loop workflows, and autonomous decision-making patterns
  • Drive model and platform integration strategy, enabling model-agnostic execution across providers while establishing intelligent routing, cost optimization, abstraction layers, and enterprise governance controls
  • Architect API-first platform capabilities that allow internal teams and external consumers to build, deploy, govern, and operate AI agents through secure, scalable, language-agnostic interfaces.
  • Set and enforce technical standards across the platform, including architecture, code quality, security, resilience, performance, compliance, and operational excellence. Provide rigorous technical direction through architecture reviews and code reviews
  • Serve as the senior technical authority and advisor for agentic AI architecture, translating complex technical decisions into clear business and executive-level recommendations while mentoring engineers and strengthening the organization’s technical capabilities
  • Establish architectural governance and documentation, including system designs, architecture decision records, integration specifications, and engineering standards aligned with Mastercard’s security and technology principles
  • All About You
  • 12+ years of hands-on software and AI engineering experience, with substantial experience designing, building, and shipping enterprise AI/ML systems into production at scale
  • Proven experience architecting production-grade agentic AI systems, autonomous agents, multi-agent platforms, or AI-powered automation operating with real users, real data, and real business impact
  • Deep hands-on coding expertise, particularly in Python and modern AI/ML frameworks. Experience with agentic frameworks such as LangChain, LangGraph, CrewAI, or equivalent is highly valued
  • Strong cloud-native architecture expertise across platforms such as AWS, Databricks, and Kubernetes, with a demonstrated ability to design highly available, fault-tolerant, secure, and horizontally scalable systems
  • Deep expertise in AI governance, trust, and safety, including guardrails, policy engines, behavioral monitoring, evaluation, red teaming, compliance, and enterprise risk controls
  • Experience building enterprise platforms and data architectures, including multi-tenant systems, fine-grained authorization, identity and access management, API-first architectures, data lakehouse patterns, Delta Lake, vector databases, and RAG pipelines
  • Strong understanding of model-agnostic AI architectures and tool integration, including multi-provider LLM integration, tool calling, orchestration, and abstraction patterns
  • Exceptional technical and executive communication skills, with the ability to influence senior stakeholders, simplify complex architecture decisions, and build alignment across engineering and business organizations
  • Demonstrated technical leadership and mentorship, with a reputation for high standards, intellectual curiosity, resilience, and developing engineers into stronger technical leaders
  • Bachelor’s degree in Computer Science, Engineering, or a related field. An advanced degree is preferred but not required with equivalent experience
  • 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.

Qualifications

  • 12+ years of hands-on software and AI engineering experience, with substantial experience designing, building, and shipping enterprise AI/ML systems into production at scale
  • Proven experience architecting production-grade agentic AI systems, autonomous agents, multi-agent platforms, or AI-powered automation operating with real users, real data, and real business impact
  • Deep hands-on coding expertise, particularly in Python and modern AI/ML frameworks. Experience with agentic frameworks such as LangChain, LangGraph, CrewAI, or equivalent is highly valued
  • Strong cloud-native architecture expertise across platforms such as AWS, Databricks, and Kubernetes, with a demonstrated ability to design highly available, fault-tolerant, secure, and horizontally scalable systems
  • Deep expertise in AI governance, trust, and safety, including guardrails, policy engines, behavioral monitoring, evaluation, red teaming, compliance, and enterprise risk controls
  • Experience building enterprise platforms and data architectures, including multi-tenant systems, fine-grained authorization, identity and access management, API-first architectures, data lakehouse patterns, Delta Lake, vector databases, and RAG pipelines
  • Strong understanding of model-agnostic AI architectures and tool integration, including multi-provider LLM integration, tool calling, orchestration, and abstraction patterns
  • Exceptional technical and executive communication skills, with the ability to influence senior stakeholders, simplify complex architecture decisions, and build alignment across engineering and business organizations
  • Demonstrated technical leadership and mentorship, with a reputation for high standards, intellectual curiosity, resilience, and developing engineers into stronger technical leaders
  • Corporate Security Responsibility
  • 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.

Preferred Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field. An advanced degree is preferred but not required with equivalent experience

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