Software Engineer, Sr. Consultant Level (11-15 years exp, Java-Python-AWS-GenAI)

• Architect and evolve the Agentic AI Platform to support multi-agent orchestration, retrieval-augmented generation (RAG), and integration with existing Visa microservices.
• Design scalable, secure backend systems using Java (Spring Boot) and Python (FastAPI/Flask).
• Develop RESTful and gRPC APIs that connect backend services, AI agents, and React front-end applications.

• Integrate Large Language Models (LLMs) such as GPT, Claude, Mistral, and Gemini into backend systems.
• Build and optimize RAG pipelines using vector databases (Pinecone, Weaviate, FAISS).
• Develop orchestration and agentic workflows using LangChain, LangGraph, or Autogen.

• Lead the design and implementation of distributed, fault-tolerant systems that scale horizontally.
• Implement auto-scaling, monitoring, and observability using Kubernetes, Docker, and Prometheus/Grafana.
• Drive best practices for latency reduction, cost optimization, and service reliability.

• Partner with other senior engineers, ML engineers, and product leads to define and deliver the platform roadmap.
• Mentor developers, set coding standards, and lead design reviews.
• Deliver results with urgency — balancing innovation with enterprise rigor.

• Explore new frameworks, architectures, and deployment models to push the boundaries of Agentic AI in production.
• Drive continuous improvement, automation, and open-source adoption across the engineering organization.

• Design secure, compliant Agentic AI systems with built‑in safeguards for data privacy, prompt security, auditability, and responsible AI usage across enterprise environments.

• Define evaluation metrics and testing frameworks to measure LLM and agent performance, accuracy, latency, cost, and reliability in production.

• Build reusable AI platform components, SDKs, and internal tooling that accelerate adoption and enable teams to safely develop, deploy, and scale Agentic AI solutions.

• Implement end‑to‑end observability for AI workflows, including tracing, logging, and monitoring of agent decisions and tool usage across distributed systems.

• Lead production readiness, incident response, and post‑mortems for AI services, driving continuous improvements in resilience, scalability, and deployment practices.

• Collaborate with product, data, ML, and security teams to translate business needs into scalable AI architectures and influence platform strategy and roadmap.

This is a hybrid position.

Expectation of days in office will be confirmed by your hiring manager.

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.