Software Engineer, Sr. Consultant Level (11-15 years exp, Java-Python-AWS-GenAI)
Core
Architect, design, and build scalable backend systems integrating autonomous AI agents into Visa's global enterprise infrastructure.
Role type
Sr. Consultant Software Engineer (Agentic AI Platform)
Builds
Next-generation Agentic AI services and scalable backend systems for Visa's distributed applications.
Domain
Payments technology, Generative AI, Distributed Systems
Deliverable
production ML models | product features | infrastructure
Required skills
Java (Spring Boot), Python (FastAPI/Flask), Microservices Architecture, LLM Integration, RAG Pipelines, Vector Databases, Kubernetes, AWS/GCP/Azure, REST/gRPC API Design, Distributed System Design, AI Orchestration
Preferred skills
Model Context Protocol (MCP) frameworks, LangChain/LangGraph/Autogen, TypeScript, React, GraphQL, Event-driven architectures, Message Queues (Kafka/RabbitMQ), SQL/NoSQL, CI/CD pipelines, Observability tools (Prometheus/Grafana)
Technologies
Java, Python, TypeScript, Spring Boot, FastAPI, Flask, LangChain, LangGraph, Autogen, LlamaIndex, GPT, Claude, Mistral, Gemini, Pinecone, Weaviate, FAISS, Docker, Kubernetes, ArgoCD, AWS, GCP, MySQL, DynamoDB, MongoDB, Kafka, RabbitMQ, React, GraphQL
Responsibilities
Architect and evolve the Agentic AI Platform for multi-agent orchestration and RAG; Design scalable, secure backend systems; Integrate LLMs into backend services; Lead design of distributed, fault-tolerant systems; Mentor developers and set coding standards; Define evaluation metrics for LLM and agent performance; Build reusable AI platform components and SDKs; Implement end-to-end observability for AI workflows; Lead production readiness and incident response.
Seniority
Senior, hands-on IC with leadership responsibilities