Software Engineer - Sr. Consultant level (Java & Python, GenAI, Cloud; 11-15 years' experience)
Visa · IN - Bengaluru, India
experiencedIN - Bengaluru, IndiaPosted 22 Jul 2026
Visa is hiring a Software Engineer - Sr. Consultant level (Java & Python, GenAI, Cloud; 11-15 years' experience) in IN - Bengaluru.
Responsibilities
- Collaborate with business stakeholders and leadership to interpret and translate requirements across the full VisaAssist portfolio — spanning inbound channels (Chat, Email, Portal), agent worker routing logic, and platform evolution roadmaps — incorporating feedback into technical architecture decisions and working code.
- Translate business requirements into strategic roadmaps and tactical solutions — including routing logic adjustments, guardrail tuning, knowledge base curation, and CRM/billing workflow improvements — while escalating potential design issues and downstream dependencies to appropriate stakeholders.
- Lead system design and architecture, personally architecting and building core infrastructure components: intent classification models, agent routing logic, MCP protocol adapters, and resilience patterns across the distributed multi-agent system.
- Drive program delivery across the full VisaAssist portfolio — intent classification & routing accuracy improvements, agent worker ecosystem (MsgProcessing, CrmDynamics, InvoiceInvestigator, ClientProfile, Transaction Management), MCP protocol adoption and expansion across external services (CRM, Invoice, CAD CP servers), and platform reliability.
- Write production code daily (60%+ of time), personally implementing the most complex features across the full stack — FastAPI endpoints, LangChain agent orchestration, Pydantic v2 schemas, async NATS handlers, and Docker/Kubernetes configurations.
- Establish and lead engineering standards by implementing reference patterns for the Python / FastAPI / LangChain / Pydantic v2 stack, building shared library modules, and coding MCP server integration adapters (OAuth2 + SSE, mTLS + API Key, REST) that the team adopts as platform-wide standards.
- Implement LangChain agent patterns including multi-hop MCP and dynamic schema composition; prototype emerging technologies (agentic AI frameworks, MCP protocol evolution, RAG advancements) and recommend technical direction based on hands-on evaluation.
- Apply advanced debugging techniques to resolve the hardest production issues spanning multiple microservices, NATS messaging, and external service integrations, proactively flagging and addressing systemic risks.
- Design and implement observability strategies using OpenTelemetry, Prometheus, and LangSmith across the full request lifecycle (inbound channel → intent worker → NATS → agent worker → external service), with comprehensive distributed tracing and SLA target definitions for each agent worker and external service dependency.
- Build operational resilience — implement NATS messaging failure recovery patterns, manage platform uptime, and drive SLA adherence for Chat/Portal real-time latency, Email throughput, and external service availability.
- Lead code reviews and enforce coding standards — including Pydantic validation patterns, LangChain agent design, async FastAPI endpoints, and security-first practices — ensuring quality across the full Python/FastAPI codebase.
- Partner with cybersecurity teams to address security assessments and implement solutions for findings including API Key Auth, mTLS, OAuth2, PCI-DSS log redaction, and input guardrails (CSAM, injection, SSRF, abuse filtering); teach security-first development practices across the team.
- Mentor and develop engineers through hands-on pair programming, code reviews, and technical guidance on LangChain agent patterns, MCP protocol implementation, and RAG pipeline optimization; empower team members to own agent worker design and individual microservice delivery.
- Remain current in skills by continuously evaluating emerging agentic AI frameworks, MCP protocol evolution, and RAG advancements, and investing in team capability growth across the VisaAssist architecture and NATS pub/sub patterns.
- Forecast labor and support fiscal planning — project labor needs for agent worker development, infrastructure capacity, and LLM/GenAI API cost projections; support workforce planning during QBR accounting for platform growth, operational burden, and technical debt reduction.
- Keep stakeholders and leadership informed of progress across epics, program delivery milestones, and overall platform health for the VisaAssist agent ecosystem.
Requirements
- 11-15 years' work experience of work experience with a Bachelor's Degree or with an Advanced Degree (e.g. Masters/MBA/JD/MD) or at least 3 years of work experience with a PhD
- Experience in Java EE technologies, Open-Source frameworks including Spring, React, JavaScript, HTML5, and Web Services (REST/RPC).
- Experience on microservices, containerization, and ability to quickly build and drive team to support future systems.
- Experience evaluating business requirements and translating them into technical design documents.
- Experience in Design Patterns and data modelling.
- Experience in Kafka and other No-SQL databases.
- Solid understanding and experience working with Database systems like MySQL and MSSQL.
- Experience working on application servers like Apache Tomcat, OS platforms like UNIX, Windows, and Linux.
- Experience with build automation tools including Maven/Gradle/Jenkins/Grunt.
- Exposure and good knowledge on web application security.
- Experience in version control tools: BitBucket, Git or similar.
Preferred qualifications
- Programming Languages: Expert-level Python development including async/await architectures, high-performance API design (FastAPI), advanced type systems (Pydantic v2), and serialization optimization (orjson). Ability to set and enforce coding standards across teams.
- AI/ML Architecture: Deep expertise in LLM integration patterns, agentic AI frameworks (LangChain), RAG pipeline architecture, intent classification systems, and prompt engineering at scale. Experience evaluating and selecting AI models for production use.
- Protocols & Integration: Expert knowledge of Model Contex
About Visa
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, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At 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. Join Visa and do work that matters – t