GenAI Platform Engineer — AI Ops & Automation

Visa; Ashburn (VA); Hybrid; USD 111,000 - 172,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k)

Paid Time Off

Job summary

Visa’s Technology organization seeks a GenAI Platform Engineer to design reusable GenAI platforms, SDKs, and pipelines that accelerate AI adoption across engineering teams. You will implement architectures using LangGraph, LangChain, Haystack, and AWS Bedrock/SageMaker, and shape RAG and LLM orchestration at scale.

You’ll also build production-grade AI applications with Python, FastAPI, React, and TypeScript, ensuring secure APIs, observability, and deployment automation across distributed

Qualifications

• 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience.
• Bachelor's or Master’s in Computer Science, Engineering, AI/ML, or related field.
• Experience with Agile development environments and globally distributed teams.

Responsibilities

• Design GenAI platforms, SDKs, pipelines, and shared frameworks for AI adoption.
• Develop solutions using agent frameworks like LangGraph, LangChain, Haystack.
• Implement AI architectures with AWS Bedrock, SageMaker, embeddings, vector stores.
• Design RAG architectures, LLM orchestration, evaluation, and LLMOps processes.
• Build production AI apps with Python, FastAPI, React, and TypeScript; secure APIs.

Skills

Agile / SAFe experience

Cross-functional collaboration

Problem solving

Communication

Education

Bachelor's Degree in CS/Engineering/AI/ML

Advanced degree (MS, MBA, JD, MD)

Tools

LangGraph

LangChain

Haystack

AWS Bedrock

SageMaker

Kafka

React

TypeScript

FastAPI

Python

GitHub Actions

Jenkins

Bitbucket

Jira

Terraform

CloudFormation

Bedrock

S3

Elastic / vector stores

Job description

Visa’s Technology organization seeks a GenAI Platform Engineer to design reusable GenAI platforms, SDKs, and pipelines that accelerate AI adoption across engineering teams. You will implement architectures using LangGraph, LangChain, Haystack, and AWS Bedrock/SageMaker, and shape RAG and LLM orchestration at scale.

You’ll also build production-grade AI applications with Python, FastAPI, React, and TypeScript, ensuring secure APIs, observability, and deployment automation across distributed