Lead AI Engineer (Agentic AI)

Visa is hiring a Lead AI Engineer (Agentic AI) in IN - Bengaluru.

Responsibilities

Generative AI & Innovation

• Lead the design, development, and deployment of GenAI solutions, including LLM integration, prompt engineering, RAG systems, and domain‑specific model customization.
• Evaluate emerging AI capabilities and prototype innovative solutions to accelerate business transformation.
• Drive experimentation frameworks that validate model performance, user experience impact, and production feasibility.

Analytical & Data‑Driven Applications

• Architect and build data‑intensive analytical applications that enable real‑time insights, predictive intelligence, and automated decisioning.
• Partner with data engineering teams to design scalable data pipelines, metadata systems, and high‑quality feature stores.
• Ensure analytical systems meet enterprise requirements for accuracy, governance, and performance.

Enterprise-Scale Engineering

• Architect cloud‑native applications capable of handling large-scale, high‑availability workloads.
• Oversee performance optimization, distributed processing, caching strategies, and operational monitoring.
• Ensure secure, compliant, and resilient engineering practices aligned with enterprise standards.

Microservices Architecture

• Design and evolve microservices architectures using best practices such as domain-driven design, event-driven patterns, and API-first development.
• Implement robust inter‑service communication (REST, gRPC, messaging) and reliability patterns (circuit breakers, rate limiting).
• Guide engineers on scaling, testing, and maintaining distributed services.

Requirements

10+ years of relevant work experience with a Bachelor’s Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience.

Preferred qualifications

12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD 12–14 years of software engineering experience, including significant leadership in AI/ML and GenAI initiatives. Expertise in LLMs, embeddings, RAG systems, model fine tuning, and GenAI frameworks (LangChain, LlamaIndex, Hugging Face, etc.). Strong proficiency in Python plus enterprise languages (Java/Scala/Go). Experience building scalable cloud-native systems (AWS, Azure, GCP) and microservices architectures. Hands-on experience with Kubernetes, Docker, CI/CD pipelines, and observability tools. Deep understanding of MLOps practices, model lifecycle management, and production AI monitoring. Proven ability to deliver large-scale analytical applications and distributed data workflows. Strong leadership, communication, and cross-functional collaboration skills. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

About Visa

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 – t