Position Summary
We are seeking a Senior AI Engineer / AI Solution Architect to own the architecture and evolution of an AI-native Payments Operating System. This role will map end-to-end payment operations, identify automation opportunities and capability gaps, define the target architecture, and establish a pragmatic roadmap that delivers near-term value while enabling long-term platform modernization.
The role requires a robust combination of Payments domain knowledge, enterprise architecture, AI platform design, integration strategy, governance, and stakeholder leadership.
Key Responsibilities
Assess end-to-end Payments operations, including reconciliation, routing, settlement, reporting, controls, audit, exceptions, and incident management.
Identify manual effort, operational bottlenecks, control weaknesses, integration failures, data gaps, and architecture complexity.
Define a prioritized Payments AI and automation roadmap based on business value, risk, feasibility, scalability, and ROI.
Design the target AI-native Payments Operating System, including agent architecture,



orchestration, data pipelines, model access, integration, controls, reporting, and observability.
Design an agentic Payments layer that operates alongside the current technology stack and supports gradual migration toward a future-state platform.
Define patterns for AI gateways, model selection, prompt and agent registries, RAG/knowledge services, workflow engines, human approval, and auditability.
Evaluate and simplify the existing Payments technology landscape, reducing duplication and improving interoperability.
Ensure architecture incorporates security, data governance, model risk, explainability, resilience, privacy, and regulatory controls by design.
Lead architecture reviews, proof-of-value initiatives, technical standards, reusable frameworks, and platform capability development.
Represent Payments within the AI Center of Excellence and align with enterprise AI, data, cloud, security,

📌 Senior AI Architect (Noida)
🏢 Icreon
📍 Noida