{"id":50840,"url":"https://alion.io/job/visa-software-engineer-sr-consultant-level-11-15-years-exp-java-python-aws-genai","title":"Software Engineer, Sr. Consultant Level (11-15 years exp, Java-Python-AWS-GenAI)","company":{"id":83,"name":"Visa","domain":"visa.com","url":"https://alion.io/company/visa","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":177,"ghost_share":0,"stale_share":0.576,"repost_share":0.023,"time_to_fill_p50_days":23,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":139},"experience_years_min":11,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ArgoCD","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"FAISS","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"gRPC","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Mistral","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"MySQL","optional":false},{"name":"Pinecone","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Spring Boot","optional":false},{"name":"SQL","optional":false},{"name":"Weaviate","optional":false},{"name":"GraphQL","optional":true},{"name":"Hazelcast","optional":true},{"name":"JavaScript","optional":true},{"name":"LlamaIndex","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-08-10T00:00:00Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-10-17T04:31:53Z","board_verified":true,"closed_at":null,"days_open":68,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":68},"description":"About Us\nVisa 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.\nAt 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.\nJoin Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.\nJob Description\nVisa is building a next-generation Agentic AI services that brings intelligent, autonomous agents into large-scale distributed applications across our global ecosystem. We’re seeking a Sr. Consultant Software Engineer who 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 is a role for a hands-on technical leader - a go-getter, builder, and problem solver with deep experience in Java microservices, GenAI integration, and distributed system design, and a true-north, entrepreneurial mindset focused on speed, quality, and innovation.\nKey Responsibilities:\nArchitecture & Design:\nArchitect and evolve the Agentic AI Platform to support multi-agent orchestration, retrieval-augmented generation (RAG), and integration with existing Visa microservices.\nDesign scalable, secure backend systems using Java (Spring Boot) and Python (FastAPI/Flask).\nDevelop RESTful and gRPC APIs that connect backend services, AI agents, and React front-end applications.\nAI & GenAI Integration:\nIntegrate Large Language Models (LLMs) such as GPT, Claude, Mistral, and Gemini into backend systems.\nBuild and optimize RAG pipelines using vector databases (Pinecone, Weaviate, FAISS).\nDevelop orchestration and agentic workflows using LangChain, LangGraph, or Autogen.\nScalability & Reliability:\nLead the design and implementation of distributed, fault-tolerant systems that scale horizontally.\nImplement auto-scaling, monitoring, and observability using Kubernetes, Docker, and Prometheus/Grafana.\nDrive best practices for latency reduction, cost optimization, and service reliability.\nLeadership & Execution:\nPartner with other senior engineers, ML engineers, and product leads to define and deliver the platform roadmap.\nMentor developers, set coding standards, and lead design reviews.\nDeliver results with urgency - balancing innovation with enterprise rigor.\nInnovation & Strategy:\nExplore new frameworks, architectures, and deployment models to push the boundaries of Agentic AI in production.\nDrive continuous improvement, automation, and open-source adoption across the engineering organization.\nAI Security & Governance:\nDesign secure, compliant Agentic AI systems with built-in safeguards for data privacy, prompt security, auditability, and responsible AI usage across enterprise environments.\nLLM Quality & Evaluation:\nDefine evaluation metrics and testing frameworks to measure LLM and agent performance, accuracy, latency, cost, and reliability in production.\nPlatform & Developer Enablement:\nBuild reusable AI platform components, SDKs, and internal tooling that accelerate adoption and enable teams to safely develop, deploy, and scale Agentic AI solutions.\nObservability & Explainability:\nImplement end-to-end observability for AI workflows, including tracing, logging, and monitoring of agent decisions and tool usage across distributed systems.\nOperational Excellence:\nLead production readiness, incident response, and post-mortems for AI services, driving continuous improvements in resilience, scalability, and deployment practices.\nCross-Functional Technical Leadership:\nCollaborate with product, data, ML, and security teams to translate business needs into scalable AI architectures and influence platform strategy and roadmap.\nThis is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.\n\nVisa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.Qualifications\nBasic Qualifications:\nBachelor’s or Master’s degree in Computer Science, Engineering, or related field.\n11+ years of backend software development experience with Java and Spring Boot.\n2+ years of backend experience with Python (FastAPI, Flask, or similar frameworks).\nProduction-level experience in building and deploying AI Agentic solutions, including orchestration of LLM-based agents, integration with enterprise microservices, and troubleshooting live production environments.\nHands-on experience implementing LLM, GenAI, and RAG systems using frameworks such as LangChain, LangGraph, or Autogen.\nExperience building and integrating Model Context Protocol (MCP) frameworks for tool and API interoperability\nStrong understanding of AI orchestration and LLM integration patterns in distributed environments.\nProven experience building and scaling distributed microservice architectures.\nProficiency in REST/gRPC API design, event-driven architectures, and message queues (Kafka, RabbitMQ).\nExperience with vector databases (Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) pipelines.\nHands-on expertise with cloud platforms (AWS, GCP, Azure).\nFamiliarity with SQL and NoSQL databases (MySQL, DynamoDB, MongoDB).\nExperience with containerization and CI/CD pipelines (Docker, Kubernetes, ArgoCD, Jenkins, GitHub Actions).\nExcellent debugging, performance optimization, and system design skills at scale.\nLeadership Attributes:\nGo-Getter: Executes decisively, drives clarity, and thrives in ambiguity.\nBuilder: Hands-on technologist who delivers high-impact systems from prototype to production.\nHustler: Operates with urgency and persistence to overcome obstacles.\nEntrepreneurial: Innovates beyond defined scope, with ownership and bias for action.\nTrue North: Leads with integrity, clarity, and long-term vision.\nLead by Example: Demonstrates accountability, openness, and excellence in technical and people leadership.\nExecute with Excellence: Sets a high bar for quality, collaboration, and delivery across multi-disciplinary engineering teams.\nTech Stack Snapshot:\nLanguages: Java (Spring Boot), Python (FastAPI, Flask), TypeScript\nAI Frameworks: LangChain, LangGraph, Autogen, LlamaIndex\nLLMs: GPT, Claude, Mistral, Gemini\nData: MySQL, Hazelcast, Pinecone, FAISS\nInfra: Docker, Kubernetes, ArgoCD, AWS/GCP\nFrontend Integration: React, GraphQL, REST/gRPC APIs\nVisa is an EEO Employer\nQualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. 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