Back
Specialized payments-plus-agentic AI reduces pool, but popular AI engineering title still attracts applicants.
Payments domain expertise and regulated AI governance needs limit cross-industry transferability.
Many mandatory domain-specific ML, agentic, payments architecture and governance requirements make shortlisting highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own the long-term architecture and evolution toward an AI-native Payments platform.
Define and drive the payments automation roadmap prioritizing operational impact, regulatory risk, and scalability.
Design, implement, and govern an agentic payments layer and operating system, ensuring control integrity and alignment with AI governance and risk protocols.
Hands-on experience deploying production-grade AI/agentic systems.
Proficiency with LLM orchestration, multi-agent systems, workflow engines (e.g., n8n), and AI APIs (e.g., Anthropic/Claude).
Experience in Payments domain including reconciliations, reporting, controls, and audit workflows.
Work Experience Required: Not explicitly mentioned in the JD.
Strong systems and architectural thinking to design scalable, future-ready AI-native payments platforms across full lifecycle.
Ability to assess operational bottlenecks and compliance risks to drive roadmap and technology simplification.
Operates well in fast-paced, ambiguous environments with strong ownership and ability to bridge business and technical teams.