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Tier-1 employer but senior GenAI specialization reduces applicant pool.
Requires specialized GenAI architecture, MLOps, and regulated payments experience, limiting cross-industry fit.
Explicit senior years plus mandatory GenAI, cloud, and full-stack requirements increase filtering.
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Lead design, development, and deployment of scalable GenAI-powered applications integrated with Visa's product ecosystem and developer platforms.
Manage and mentor an engineering team focused on automation and AIOps within Visa’s Global Operations, ensuring operational excellence and innovation.
Develop robust, event-driven systems with observability, incident management, and AI-driven operational automation across large-scale distributed payment systems.
8+ years software engineering experience with a Bachelor’s degree (or equivalent advanced degrees with adjusted experience requirements).
2+ years leading or mentoring software engineering teams.
Proficiency in Python backend development (FastAPI preferred), React with TypeScript frontend development, and hands-on experience with LLM frameworks (e.g., LangChain, LangGraph).
Experience with AWS services for AI/ML (Lambda, ECS/EKS, Bedrock, SageMaker) and building distributed systems using microservices and event-driven messaging (Kafka, Kinesis).
Experienced full-stack engineer with strong GenAI architecture skills and background in building reusable AI components and SDKs for engineering teams.
Operates effectively within Agile/SAFe frameworks in global, matrixed organizations, balancing hands-on development with leadership and mentoring.
Familiar with payment technology or regulated financial systems and capable of delivering secure, compliant AI applications with focus on governance, security, and responsible AI practices.