Lead AI Designer– Agentic AI (L6)

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 Lead AI Designer– Agentic AI (L6) Lead Agentic AI Designer & Developer(L6) Agentic AI Product & Engineering, Operational Intelligence Mastercard Services Locations: Gurgaon, India | Pune, India ________________________________________ Overview Mastercard powers economies and empowers people in over 200 countries and territories worldwide. Together with our customers, we are helping build a sustainable economy where everyone can prosper. Mastercard Services provides cutting-edge services across data, analytics, consulting, loyalty, fraud, cyber intelligence, and operational intelligence. Within Business & Markets Insights (BMI), the Operational Intelligence (OI) team is building the next generation of AI-native products powered by LLMs, intelligent workflow automation, contextual memory, and autonomous reasoning systems to help customers identify, diagnose, and resolve complex payment operational issues faster and with greater precision. As part of this transformation, we are seeking a Lead Agentic AI Designer & Developer to design, build, and scale enterprise-grade intelligent AI systems that combine large language models, advanced orchestration, memory frameworks, and production-grade engineering. This is a highly hands-on role for an experienced builder who can translate complex business workflows into scalable autonomous AI products and bring them from concept to production. ________________________________________ Role • Design and develop intelligent AI systems capable of reasoning, diagnostics, anomaly detection, workflow automation, and operational recommendations across Mastercard’s Operational Intelligence product suite. • Build modular LLM-driven workflows for planning, retrieval, summarization, tool execution, classification, and autonomous decision support. • Develop stateful and deterministic execution flows with routing logic, fallback handling, confidence scoring, guardrails, retry mechanisms, and human-in-loop intervention. • Engineer reusable AI orchestration services using frameworks such as LangGraph, LangChain, OpenAI Agent SDK, AutoGen, Strands, AgentCore, Semantic Kernel, or equivalent technologies. • Design and implement contextual memory systems including session memory, long-term memory, semantic/vector memory, episodic memory, and graph-based relationship memory. • Build enterprise grounding and retrieval capabilities leveraging RAG, Graph RAG, structured retrieval, enterprise APIs, and deterministic tool-based integrations. • Develop Python/FastAPI based backend services, APIs, and microservice components to support enterprise-scale AI workflow execution. • Build secure integrations with operational data stores, event streams, internal systems, enterprise services, and external model endpoints. • Partner with Product Management and domain SMEs to convert customer problems and product use cases into scalable technical AI workflows and reusable product components. • Collaborate with UX and frontend teams to design trustworthy AI interaction experiences including evidence layers, confidence indicators, decision traces, action recommendations, and audit visibility. • Build rigorous evaluation and testing frameworks to measure model quality, hallucination rates, retrieval quality, workflow success, latency, reliability, and operational cost. • Mentor junior engineers and contribute to reusable engineering standards, internal frameworks, and best practices for Mastercard’s growing AI-nat ... (truncated, view full listing at source)