Senior AI Engineer

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Team Description Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintech's, payment enablers and governments. The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage Visa Net, one of the largest datasets globally, to help clients enhance their performance and increase profitability.

: Strategic Leadership: Lead the design and execution of enterprise-scale AI/ML and Generative AI initiatives, driving technical vision and translating complex business challenges into innovative AI solutions that deliver measurable business impact. Contribute to end‑to‑end AI/ML and Generative AI projects, helping translate business needs into technical solutions and participating in model design, development, and deployment. Technical Architecture: Architect and oversee end-to-end AI/ML systems including large language models (LLMs), agentic AI frameworks, and multi-agent orchestration platforms that operate at scale across global infrastructure. Advanced Model Development: Design and implement state-of-the-art deep learning architectures, foundation models, and custom GenAI solutions including retrieval-augmented generation (RAG), fine-tuning strategies, prompt engineering frameworks, and multi-modal AI systems. Platform Engineering: Build and govern production-grade AI platforms with robust LLMOps, AgenticAIOps, and MLOps practices, ensuring scalability, reliability, security, and observability across the full ML lifecycle. Innovation & Research: Drive R&D initiatives exploring frontier AI technologies including reinforcement learning from human feedback (RLHF), chain-of-thought reasoning, tool-augmented agents, and emergent AI capabilities. DevOps Excellence: Champion modern DevOps and DataOps practices, implementing CI/CD pipelines, infrastructure-as-code, containerization (Docker/Kubernetes), and cloud-native architectures (AWS/Azure/GCP) for AI workloads. Quality & Governance: Define and enforce rigorous model validation, testing, monitoring, and governance standards ensuring ethical AI deployment, bias mitigation, explain ability, and regulatory compliance. Technical Mentorship: Lead, mentor, and upskill data science teams, establishing best practices, coding standards, model governance frameworks, and fostering a culture of technical excellence and continuous learning. Why this is important to Visa This role is central to shaping how our organization uses AI, Machine Learning, and Generative AI to make smarter decisions, build scalable digital capabilities, and drive meaningful innovation. By developing full-stack data science solutions and next-generation AI models, this role directly improves how we understand customers, streamline This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.