Software Engineer, Sr. Consultant Level (Agentic AI, LLM, Java, Python, 11-14 years' experience)

Visa is building a next-generation Agentic AI services that brings intelligent autonomous agents into large-scale distributed applications across our global ecosystem. Were seeking a Sr. Consultant Software Engineer who will architect design and build scalable backend systems that integrate AI agents into Visas enterprise infrastructure. You will work with other Senior Engineers and technical leaders to define the architecture scaling strategy and engineering standards for Visas 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.

Key Responsibilities:

Architecture & Design:

• 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.

AI & GenAI Integration:

• 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.

Scalability & Reliability:

• 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.

Leadership & Execution:

• 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.

Innovation & Strategy:

• 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.

AI Security & Governance:

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

LLM Quality & Evaluation:

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

Platform & Developer Enablement:

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

Observability & Explainability:

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

Operational Excellence:

• Lead production readiness incident response and postmortems for AI services driving continuous improvements in resilience scalability and deployment practices.

CrossFunctional Technical Leadership:

• 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.

Qualifications :

Basic Qualifications:

• Bachelors or Masters degree in Computer Science Engineering or related field.
• 11 years of backend software development experience with Java and Spring Boot.
• 2 years of backend experience with Python (FastAPI Flask or similar frameworks).
• Production-level experience in 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 LangChain LangGraph 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 RabbitMQ).
• 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 NoSQL databases (MySQL DynamoDB MongoDB).
• Experience with containerization and CI/CD pipelines (Docker Kubernetes ArgoCD Jenkins GitHub Actions).
• Excellent debugging performance optimization and system design skills at scale.

Leadership Attributes:

• Go-Getter: Executes decisively drives clarity and thrives in ambiguity.
• Builder: Hands-on technologist who delivers high-impact systems from prototype to production.
• Hustler: Operates with urgency and persistence to overcome obstacles.
• Entrepreneurial: Innovates beyond defined scope with ownership and bias for action.
• True North: Leads with integrity clarity and long-term vision.
• Lead by Example: Demonstrates accountability openness and excellence in technical and people leadership.
• Execute with Excellence: Sets a high bar for quality collaboration and delivery across multi-disciplinary engineering teams.

Tech Stack Snapshot:

• Languages: Java (Spring Boot) Python (FastAPI Flask) TypeScript
• AI Frameworks: LangChain LangGraph Autogen LlamaIndex
• LLMs: GPT Claude Mistral Gemini
• Data: MySQL Hazelcast Pinecone FAISS
• Infra: Docker Kubernetes ArgoCD AWS/GCP
• Frontend Integration: React GraphQL REST/gRPC APIs

Additional Information :

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.

Remote Work :

No

Employment Type :

Full-time