Senior Staff Software Engineer (Sr. Consultant) - GenAI Enablement

• Global Operations holds the responsibility of ensuring Visa's diverse portfolio of commercial services are performing optimally, meeting stringent availability targets and exceeding our clients' expectations.
• By architecting automation and GenAI into our operational DNA, and deeply embedding AIOps into our strategic foundation, Global Operations, the engine room of production operations, is well positioned to think big, act quickly and innovate with intention.
• Working with highly integrated, high-throughput systems, an equally high importance must be placed on robust observability, intelligent event detection and incident management.
• Global Operations sets the operational standards to support the business demands of today and the operational needs of tomorrow as technologies continue to evolve and adjust the way we work to support the business.
• Through blame free post mortems, intellectual curiosity and problem solving we turn reactive into proactive and create an environment that provides the support and mentorship for our team members to learn and grow.

Architect and deliver GenAI-enabled applications leveraging:

• LangGraph, LangChain, Haystack, or similar agent frameworks
• AWS GenAI services (Bedrock, SageMaker, "Strands"-style agent pipelines, embeddings, vector stores)
• RAG architectures, custom LLM orchestration, model evaluation, LLMOps workflows
• Build reusable GenAI components, SDKs, pipelines, and abstraction layers for engineering teams.

• Prompt engineering and evaluation
• LLM safety, guardrails, and content filtering
• Embedding generation and vector database integrations
• Model lifecycle governance and deployment optimization
• Full‑Stack Engineering (Hands-on Development)

• Backend: Python, FastAPI, Flask, Node.js
• Frontend: React + TypeScript, UI component frameworks, REST/GraphQL integration
• Build secure APIs, microservices, event-driven components, and backend integrations for AI systems.
• Design intuitive, responsive, production-grade user interfaces for GenAI-powered tools.
• Data Pipelines & CI/CD Engineering

• ETL/ELT pipelines
• Data preparation for LLM training/fine-tuning
• Embedding pipelines and retrieval data stores

• Jenkins, GitHub/Bitbucket, Jira, Wiki, GitHub Actions, CodePipeline, Artifactory or similar systems
• Automated testing, containerization, deployment, quality gates
• Infrastructure-as-code (CloudFormation, Terraform)
• Ensure automated monitoring, logging, observability, and rollback strategies.
• Governance, Security & Responsible AI

• Model explainability
• Data governance and redaction
• Security boundaries, access control, encryption
• Responsible AI guidelines and compliance expectations
• Work with cybersecurity teams to ensure secure production deployments.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Basic Qualifications

• 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.
• Worked with Agile SDLC process and SAFE agile environment in distributed teams
• Hands-on experience with LLM frameworks (LangGraph, LangChain, Haystack, AWS Bedrock GenAI tools)
• Python backend development (FastAPI strongly preferred)
• Frontend development (React + TypeScript)
• Vector databases (FAISS, Pinecone, Weaviate, OpenSearch, etc.)
• Agile Frameworks like SAFE, GitHub / Bitbucket, Jira, ServiceNow, Wiki, CI/CD automation pipelines involving Jenkins
• Proven experience shipping products on AWS (Lambda, ECS/EKS, S3, API Gateway, Bedrock, SageMaker).
• Strong understanding of distributed systems, microservices, and API design.
• Experience implementing RAG at scale using internal or cloud-based vector stores.
• Familiarity with event-driven messaging systems (Kafka, Kinesis).

Preferred Qualifications

• 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
• Experience with Databricks/Spark pipelines, MLFlow, or modern MLOps tools.
• Background in payments, risk, fraud analytics, or regulated financial systems.
• Experience creating developer tooling or reusable frameworks for broader engineering teams.
• Soft Skills
• Excellent communication, ability to simplify complex AI concepts.
• Leadership presence with hands-on technical credibility.
• Ability to collaborate in a matrixed global organization.
• Passion for innovation and continuous exploration of emerging GenAI capabilities.
• We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa

Information for US Applicants

For roles located in the US, the estimated salary range for this position is $154,900.00 to $ 248,200.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.