Sr. Data Engineer - AI
Sr. Data Engineer - AI
Location: Seattle WA
Role Summary We are seeking a senior Data Engineer to design and build enterprise-scale data platforms that enable AI/ML and agentic systems. This role focuses on engineering
AI-ready data foundations
—ensuring data is high-quality, governed, and optimized for advanced analytics and autonomous AI agents.
Sr. Data Engineer - AI-ready-Enterprise-Scale Data Platforms Key Responsibilities Architect and build
scalable, cloud-native data platforms
supporting AI/ML and agent-based applications
Design pipelines to deliver
AI-ready data
(curated, labeled, contextualized, and feature-rich datasets)
Develop robust
data ingestion, transformation, and serving layers
(batch + real-time)
Enable
semantic data models, knowledge graphs, and vector databases
to power AI agents and LLMs
Implement
data quality, lineage, and governance frameworks
to ensure trust and compliance
Collaborate with AI/ML teams to support
feature engineering, model training, and inference pipelines
Optimize data architectures for
performance, scalability, and cost efficiency
Mentor teams and establish
best practices for AI-driven data engineering
Required Skills & Experience 10+ years of experience in
data engineering and platform architecture
Strong expertise in
cloud platforms
(Azure, AWS, or GCP) and modern data ecosystems
Familiarity with
AI/ML data pipelines , feature stores, and model lifecycle support
Experience with
LLM data pipelines
Strong understanding of
data governance, metadata management, and security frameworks
Preferred Qualifications Experience building
data platforms for AI agents / agentic workflows
Knowledge of
RAG (Retrieval Augmented Generation)
architectures and semantic search
Exposure to
data mesh / domain-oriented data architectures
Experience in
large-scale enterprise transformation programs
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