Software Engineer, Sr. Consultant - Fullstack GenAI Enablement. Ashburn LilyLifestyle
Listed on 2026-06-02
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Software Development
AI Engineer, Software Engineer, Cloud Engineer - Software, Full Stack Developer
Job Description
Visa'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.
TheOpportunity
We are seeking a seasoned Fullstack Software Engineer with experience building GenAI-enabled applications. We're looking for someone who is both a hands‑on full‑stack engineer and a team leader capable of designing, developing, and deploying GenAI‑powered applications. You will 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- 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, equally important 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.
- Through blame‑free post‑mortems, intellectual curiosity and problem solving we turn reactive into proactive and create an environment that provides support and mentorship for our team members to learn and grow.
Architect and deliver GenAI‑enabled applications leveraging:
- Lang Graph, Lang Chain, Haystack, or similar agent frameworks
- AWS GenAI services (Bedrock, Sage Maker, "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.
Define best practices for:- 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 + Type Script, UI component frameworks, REST/Graph
QL 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, Git Hub/Bitbucket, Jira, Wiki, Git Hub Actions, Code Pipeline, Artifactory or similar systems
- Automated testing, containerization, deployment, quality gates
- Infrastructure‑as‑code (Cloud Formation, Terraform)
- Ensure automated monitoring, logging, observability, and rollback strategies.
- Governance, Security & Responsible AI
- Model explainability
- Data governance and redaction
- Security…
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