Lead the development and optimization of data infrastructure supporting Agentic AI initiatives
Job Summary
Lead the development and optimization of data infrastructure supporting Agentic AI initiatives.
Collaborate with ML engineers, AI scientists, and product managers to architect, implement, and maintain robust data pipelines powering autonomous AI agents.
Drive data platform reliability, scalability, and cost optimization across cloud-based infrastructure.
Matching Summary
Lead the development and optimization of data infrastructure supporting Agentic AI initiatives.
Skills & Requirements
Must-have
Scalable data pipelines and ETL
Data models for AI
Python and Scala proficiency
SQL and NoSQL expertise
Cloud platform experience (AWS, Azure, GCP)
Containerization and orchestration (Docker, Kubernetes)
Nice-to-have
Streaming and event-driven pipelines
Vector databases for AI
Infrastructure as Code tooling
Feature stores and experiment tracking
LLM fine-tuning data requirements
Key Requirements
5+ years of professional experience in data engineering
2+ years focused on ML/AI data infrastructure
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field