Software Engineer - Sr. Consultant level

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. We are dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k financial institutions, and billions of everyday people. In this role, you will architect, design, and build scalable backend systems that integrate AI agents into Visa’s enterprise infrastructure.

You will work with other senior engineers and technical leaders to define the architecture, scaling strategy, and engineering standards for Visa’s AI‑driven products. This position requires a hands‑on technical leadership mindset focused on speed, quality, and innovation.

• Design and evolve the Agentic AI Platform to support multi‑agent orchestration, retrieval‑augmented generation (RAG), and integration with existing Visa microservices. Build 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 Lang Chain, Lang Graph, 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 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.

• 8+ years of relevant work experience with a Bachelor’s Degree, or 5+ years with an advanced degree (Master’s, MBA, JD, MD), or 2+ years with a Ph.D., or 11+ years overall experience.
• 9+ years of relevant experience with a Bachelor’s Degree, or 7+ years with an advanced degree, or 3+ years with a Ph.D.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 2+ years of backend experience with Python (FastAPI, Flask, or similar frameworks).
• Production‑level experience building and deploying AI Agentic solutions, including orchestration of LLM‑based agents, integration with enterprise microservices, and troubleshooting live production environments.
• Hands‑on experience implementing LLM, GenAI, and RAG systems using frameworks such as Lang Chain, Lang Graph, or Autogen.
• Experience building and integrating Model Context Protocol (MCP) frameworks for tool and API interoperability.
• Strong understanding of AI orchestration and LLM integration patterns in distributed environments.
• Proven experience building and scaling distributed microservice architectures.
• Proficiency in REST/gRPC API design, event‑driven architectures, and message queues (Kafka, Rabbit
  
  MQ).
• Experience with vector databases (Pinecone, Weaviate, FAISS) and retrieval‑augmented generation (RAG) pipelines.
• Hands‑on expertise with cloud platforms (AWS, GCP, Azure).
• Familiarity with SQL and No
  
  SQL databases (MySQL, Dynamo
  
  DB, Mongo
  
  DB).
• Experience with containerization and CI/CD pipelines (Docker, Kubernetes, ArgoCD, Jenkins, Git Hub Actions).
• Excellent debugging, performance optimization, and system design skills at scale.
• Leadership attributes:
  Go‑Getter, Builder, Hustler, Entrepreneurial, True North, Lead by Example,…