Design and build AI-enabled agent systems for data quality monitoring and remediation.
Develop intelligent agents to interpret quality signals and coordinate workflows.
Integrate LLMs and AI services into data quality workflows responsibly.
Create frameworks for agents to interact with data quality rules, metadata, and monitoring.
Ensure observability, auditable traces, and alignment with risk/compliance.
Collaborate with stakeholders to encode data quality intent in agent logic.

🎯 Requirements

Bachelor's degree in computer science, engineering, or equivalent experience.
Advanced experience in software engineering, data engineering, or applied AI systems.
Strong proficiency in SQL and Python within complex data environments.
Experience designing complex, distributed, or intelligent systems.
Solid understanding of data quality concepts and enterprise data ecosystems.
Experience with cloud computing technologies, preferably GCP.

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