AI Platform Architect for Real-Time Fraud & Risk

DataVisor; Mountain View (CA); On-site; USD 130,000 - 250,000; Full time

Benefits offered by this job

Base Salary 130K–250K

Equity options

Medical, dental, vision coverage

DTO and paid holidays

R&D opportunities

Job summary

DataVisor in Mountain View, CA is hiring an AI Engineer to serve as a technical architect for the Intelligence Layer and Data Consortium. This role focuses on building the high-scale production services and data pipelines that ingest signals from millions of users to power our fraud intelligence.

You will design, build, and operate distributed systems, evolve the internal AI agent workflow, and collaborate with Data Science and Solutions teams to integrate ML models and rule engines into

Qualifications

• 2+ years of software engineering experience building production systems
• Bachelor's and Master's in CS with ML focus
• Distributed cloud-native systems design and AWS experience
• Proficiency in Python; knowledge of Java/Go/C++ is a plus
• Experience with Spark, Kafka, or Flink is preferred
• Solid ML concepts: supervised vs unsupervised, embeddings, metrics such as AUC/precision/recall

Responsibilities

• Architect and maintain high-throughput data pipelines
• Design distributed systems with sub-150ms P99 latency targets
• Build AI applications using LLMs and agent workflows
• Own AI agent workflows and tooling across environments
• Collaborate with Data Science to productionize ML models and rule engines
• Ensure privacy-first architecture and security practices

Skills

Python

AWS

Distributed systems

ML concepts

Big data

Spark

Kafka

Flink

Docker/Kubernetes

LLMs

ClickHouse

Education

Bachelor's and Master's in CS with ML focus

Tools

Docker

Kubernetes

Spark

Kafka

Flink

ClickHouse

Job description

DataVisor in Mountain View, CA is hiring an AI Engineer to serve as a technical architect for the Intelligence Layer and Data Consortium. This role focuses on building the high-scale production services and data pipelines that ingest signals from millions of users to power our fraud intelligence.

You will design, build, and operate distributed systems, evolve the internal AI agent workflow, and collaborate with Data Science and Solutions teams to integrate ML models and rule engines into