Agentic Solutions Specialist

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
Agentic Solutions Specialist
ABOUT MASTERCARD AGENT SUITE
Mastercard Agent Suite is Mastercard's global platform for building, testing, and deploying agentic AI solutions across enterprise operations, bringing Mastercard's payments expertise, technology, and insights directly into client environments.
Solutions Integration is the team that turns possibility into production. We build the reusable capabilities, patterns, and accelerators that will define how enterprises adopt agentic AI at scale.
Those joining now are not inheriting a playbook. They are helping create it.
THE ROLE
This is an ownership-first role.
As an Agentic Solutions Specialist, you will spend 70-80% of your time hands-on: coding, experimenting, deploying, optimizing, and operating agentic AI solutions.
You are not expected to only explore new technologies. You are expected to transform ideas into production-ready capabilities that create measurable business value.
Working alongside Solutions Architects, TPMs, Product teams, and clients, you will own solutions end-to-end, from prototype through deployment, observability, optimization, and operational readiness.
You are curious enough to evaluate the newest agentic frameworks and disciplined enough to ensure what gets built is scalable, observable, secure, and cost-effective.
This role is designed for developers who value autonomy, ownership, technical excellence, and impact.
WHAT YOU WILL DO
Own and Deliver
- Design, develop, deploy, and support production-grade agentic AI solutions
- Build reusable frameworks, accelerators, integrations, SDKs, and agentic capabilities
- Develop multi-agent workflows, copilots, orchestration layers, and enterprise integrations
- Translate architectural designs into scalable production solutions
- Participate directly in client deployments and technical delivery
Drive Innovation
- Evaluate and test emerging GenAI and agentic technologies
- Experiment with new models, frameworks, and orchestration patterns
- Rapidly validate new tools, features and ideas
- Convert successful experiments into reusable enterprise capabilities
- Stay ahead of market trends while aligning innovation with Mastercard's strategic objectives
Own Solutions End-to-End
- Take accountability from concept through production
- Create technical documentation, deployment artifacts, runbooks, and implementation guides
- Drive issue resolution and operational readiness
- Build solutions that others can confidently deploy, support, and scale
Engineer for Scale
- Implement observability, monitoring, tracing, and evaluation frameworks
- Build with scalability, resiliency, security, and auditability in mind
- Design guardrails for reliability, performance, and operational excellence
- Optimize solutions for cost, latency, throughput, and production scale
Platform & DevOps
- Build and working knowledge of CI/CD pipelines and deployment automation
- Implement Infrastructure as Code and engineering best practices
- Improve developer productivity through reusable tooling and automation
WHAT WE ARE LOOKING FOR
We Relentlessly Care About the What and the How
- Decency Quotient. We hire for IQ, EQ, and DQ in equal measure.
- Builder mentality. You love creating things, not just discussing them.
- Ownership mindset. You do not leave problems half solved.
- Strong troubleshooting instincts and bias for action.
- Pride in craftsmanship, documentation quality, and operational excellence.
- Comfortable operating independently in fast-moving environments.
Technical Requirements
- Bachelor's degree with experience designing, building, deploying, and operating production-grade Agentic AI solutions
- Strong software engineering skills in Python and/or TypeScript
- Hands-on experience with agentic frameworks such as: LangGraph, LangChain, Google Agent Development Kit (ADK), AutoGen, CrewAI, Microsoft Copilot Studio.
- Practical experience implementing:
- Model Context Protocol (MCP)
- Agent-to-Agent (A2A) communication patterns
- Tool-calling frameworks
- Multi-agent asynchronous architectures
- Agent memory and context engineering
- Experience deploying solutions on Azure, AWS, GCP, or hybrid environments.
- Strong understanding of APIs, distributed systems, event driven (Kafka/Pub-Sub), cloud-native architectures, and enterprise integrations.
- Experience with CI/CD, Infrastructure as Code, and modern DevOps practices
- Hands-on experience implementing OpenTelemetry and agent observability frameworks
- Understanding of FinOps, token economics, LLM costs, rate limiting, throttling, scalability, and production governance
WHAT WILL SET YOU APART
- You have personally deployed LangGraph, LangChain, ADK, MCP-enabled, or A2A-enabled solutions into production
- You have built and operated multi-agent systems that delivered measurable business outcomes. Good experience of SDLC cycle.
- You have implemented observability, monitoring, evaluation, and governance frameworks for AI agents
- You have optimized production systems for reliability, performance, scale, and cost
- You can demonstrate business impact from solutions you personally designed, built, deployed, and operated
WHY JOIN NOW
Mastercard Agent Suite is still being defined.
The solutions you build will influence the roadmap, implementation patterns, engineering standards, and future direction of Agent Suite globally.
You will have the autonomy to experiment, the ownership to ship, and the opportunity to see your work adopted across enterprise-scale deployments.
This is not a role where your code sits in a repository.
Your work will directly shape how Mastercard and its clients build, deploy, and scale Agentic AI for years to come.
Those who join now will help define the future of Agent Suite, not simply contribute to it.
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.