Senior Data & AI Engineer — Remote, Real-Time AI Pipelines

Quantiphi; United States; Remote; USD 343,849,000 - 515,773,000; Full time

Job summary

Quantiphi seeks an experienced Senior Data & AI Engineer to build and modernize its enterprise data and AI ecosystem. You will architect scalable real-time streaming pipelines, data products, semantic layers, knowledge graphs, and GenAI/Agentic infrastructure.

The role blends large-scale data engineering with hands-on AI engineering, including RAG, embedding, and automated data quality systems to empower enterprise capabilities.

Qualifications

• Hands-on data engineering for large-scale ecosystems on cloud platforms.
• Experience with real-time streaming and AI-driven data pipelines.
• Proficiency in Python, SQL and modern data modeling concepts.
• Knowledge of graph databases and retrieval-augmented generation (RAG).

Responsibilities

• Design, build and maintain scalable real-time data streaming pipelines.
• Develop data and AI pipelines integrating structured and unstructured data.
• Implement RAG architectures and semantic data solutions for LLM use.
• Collaborate with cross-functional teams to deploy data platforms.
• Prototype and evaluate GenAI initiatives and automated data quality tools.

Skills

Data streaming

Python

SQL

Cloud platforms

RAG architectures

Graph databases

Education

Bachelor's in CS/EE or related

Tools

Apache Kafka

AWS

GCP

Spark Streaming

Neo4j

Cypher/SPARQL

Job description

Quantiphi seeks an experienced Senior Data & AI Engineer to build and modernize its enterprise data and AI ecosystem. You will architect scalable real-time streaming pipelines, data products, semantic layers, knowledge graphs, and GenAI/Agentic infrastructure.

The role blends large-scale data engineering with hands-on AI engineering, including RAG, embedding, and automated data quality systems to empower enterprise capabilities.