Sr Consultant-Python GenAI

Job Posting TitleSoftware Engineer - Sr. Consultant Level - Python, React, GenAI Architecture

Job DescriptionJob DescriptionVisa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms.

The Opportunity: We are seeking a GenAI Architect / Sr Consultant, Software Engineer (L6.5) who is both a hands-on full-stack engineer and a team leader capable of designing, developing, and deploying GenAI‑powered applications. You will manage and mentor an engineering team while delivering scalable AI systems that integrate with Visa’s product ecosystem, developer platforms, and internal operational tools.

This role blends architecture, leadership, full-stack development, cloud engineering, and GenAI frameworks. As a Visa Lead Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions. The Work itself: 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. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. QualificationsQualificationsBasic 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.

Preferred Qualifications:9 or more years of relevant work experience with a Bachelor's 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 PhDBachelor’s or master’s in computer science, Engineering, AI/ML, or related field.8+ years of software engineering experience; 2+ years leading or mentoring engineers.Worked with Agile SDLC process and SAFE agile environment in distributed teamsHands-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 JenkinsProven 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.Experience with Databricks/Spark pipelines, MLFlow, or modern MLOps tools.Familiarity with event-driven messaging systems (Kafka, Kinesis).Background in payments, risk, fraud analytics, or regulated financial systems.Experience creating developer tooling or reusable frameworks for broader engineering teams.The Skills You Bring:GenAI Architecture & Framework DevelopmentArchitect and deliver GenAI-enabled applications leveraging:LangGraph, LangChain, Haystack, or similar agent frameworksAWS GenAI services (Bedrock, SageMaker, “Strands”-style agent pipelines, embeddings, vector stores)RAG architectures, custom LLM orchestration, model evaluation, LLMOps workflowsBuild reusable GenAI components, SDKs, pipelines, and abstraction layers for engineering teams.Define best practices for:Prompt engineering and evaluationLLM safety, guardrails, and content filteringEmbedding generation and vector database integrationsModel lifecycle governance and deployment optimizationFull‑Stack Engineering (Hands-on Development)Develop end‑to‑end AI applications using:Backend: Python, FastAPI, Flask, Node.jsFrontend: React + TypeScript, UI component frameworks, REST/GraphQL integrationBuild 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 EngineeringDesign and build data workflows supporting AI systems, including:ETL/ELT pipelinesData preparation for LLM training/fine-tuningEmbedding pipelines and retrieval data storesImplement CI/CD automation leveraging:Jenkins, GitHub/Bitbucket, Jira, Wiki, GitHub Actions, CodePipeline, Artifactory or similar systemsAutomated testing, containerization, deployment, quality gatesInfrastructure-as-code (CloudFormation, Terraform)Ensure automated monitoring, logging, observability, and rollback strategies.Governance, Security & Responsible AIApply Visa’s standards for:Model explainabilityData governance and redactionSecurity boundaries, access control, encryptionResponsible AI guidelines and compliance expectationsWork with cybersecurity teams to ensure secure production deployments.Soft SkillsExcellent 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