Lead Software Engineer – Agentic AI, IAM & Authentication
About The Position
Platform Products builds the shared foundations that enable Visa to scale innovation across multiple businesses. In this role, you’ll work on foundational systems with broad organizational impact, helping define how AI‑native capabilities are designed, deployed, and scaled responsibly at Visa. As a Lead Software Engineer within Visa’s Platform Products organization, you will provide technical leadership to build the next generation of Identity and Access Management (IAM) and Authentication capabilities. You will work on high‑scale, distributed systems that support new and evolving payment flows, partnering closely with product, architecture, and engineering teams. This role requires hands‑on experience building agentic AI systems, including AI agents, context management, and retrieval‑augmented generation (RAG). The focus is on building production‑ready, reliable AI‑native services, not prototypes or experiments.
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.
- Candidates must have hands‑on, production experience with:
- Building AI agents that execute multi‑step workflows using tools or APIs.
- Context management techniques such as state handling, memory, summarization, or session management.
- Retrieval‑Augmented Generation (RAG), including retrieval design, grounding strategies, and quality evaluation.
Nice To Haves
- 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
- Experience designing and building distributed systems and shared platform services .
- Strong experience with Java , Spring , and modern service‑oriented architectures.
- Expertise in API design and service communication patterns (e.g., REST, gRPC).
- Experience with microservices , containerization , API gateways , caching , and security .
- Strong understanding of system integration patterns and architectural trade‑offs.
- Experience with CI/CD, automation, monitoring, logging, and secure DevOps practices.
- Advanced knowledge of AI / Generative AI concepts and applied system design.
- Experience in payments, identity, or security domains is a plus.
- experience building evaluation or monitoring frameworks for AI system reliability.
Responsibilities
- Lead architecture and design for cross‑team and cross‑product initiatives, from concept through production.
- Establish and reinforce engineering best practices by example, including writing and reviewing production code.
- Define and promote platform standards, reusable frameworks, and shared services.
- Build secure, scalable, resilient, API‑centric systems designed for global use.
- Partner with Product and Architecture teams to deliver solutions aligned with business strategy.
- Influence enterprise technology selection and architectural direction.
- Drive operational excellence across deployment, monitoring, logging, and security.
- Mentor engineers and contribute to building high‑performing, inclusive engineering teams.
- Contribute to GenAI initiatives that improve developer productivity and enable product innovation.
- Share technical knowledge and thought leadership across the organization.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
