Sr AI Data Engineer

Overview

Sr AI Data Engineer to design and build an AWS-native data foundation for enterprise AI applications, focused on knowledge graphs and semantic layers.

What you'll do

• Lead the design and evolution of knowledge graphs and ontologies for AI reasoning, retrieval, and explainability.
• Align enterprise data sources into a coherent, queryable graph with clear provenance.
• Own retrieval substrate including graph queries, vector indexes, and hybrid retrieval.
• Curate grounding corpora, eval datasets, and retrieval benchmarks and track retrieval quality metrics over time.
• Produce data models and build AWS-based ingestion/transformation pipelines using Python and SQL.
• Partner with security and platform teams to integrate data access with enterprise identity and access policies.
• Set design direction, mentor engineers and citizen developers, and communicate tradeoffs to stakeholders.

What you'll need

• Bachelor's degree in Computer Science, Engineering, or a STEM field.
• Minimum three years of data engineering experience.
• Legal authorization to work in the U.S.; no visa sponsorship.
• Hands-on experience designing data models and semantic layers (desired: 5+ years).
• Production experience with knowledge graphs/ontologies and graph query languages.
• Strong AWS proficiency (CloudFormation/CDK, Glue, Lambda, Step Functions, S3, IAM, Bedrock, Bedrock Knowledge Bases).
• Strong Python and SQL and experience supporting AI/ML or LLM systems (RAG, embeddings, eval datasets, grounding corpora).

Details

• Work mode: Remote.
• Base pay range: $110,00–145,000 USD with potential annual discretionary bonus.
• Posting expected to close on September 18th, 2026.
• Role requires in-person attendance for New Hire Orientation on Day 1.
• Role requires access to U.S. export-controlled information; employment contingent on U.S. Person status.