We re seeking an experienced Data Engineer to support the validation, quality assurance, and continuous improvement of AI agents that underpin our digital first capabilities. This role focuses on ensuring AI agent outputs are accurate, reliable, and aligned with defined business and technical requirements, while maintaining strong data governance and security standards.

What you ll do
Build and maintain data pipelines and validation frameworks to assess AI agent performance and output quality
Design automated quality checks, monitoring, and reporting for AI agent behaviour across batch and streaming data
Analyse AI agent outputs to identify gaps, risks, and improvement prospects
Support the definition of AI agent success metrics, acceptance criteria, and enhancement priorities
Partner with technology, analytics, and platform teams to improve AI agent reliability, transparency, and scalability
Ensure solutions are cost-effective and aligned with data governance, security, and regulatory standards

What you ll bring




Robust experience as a AWS Data Engineer with hands-on programming skills
Experience with AWS (S3, Glue, Athena, EMR, Lambda), Snowflake, and data warehousing concepts
Robust SQL, Serverless and Python skills, with experience building ETL/ELT pipelines
Understanding of batch and streaming architectures (e.g. Kafka, Airflow)
Experience implementing data quality, monitoring, site reliability or validation controls
Excellent communication and problem-solving skills

This role is offered at Associate Vice President (AVP) level and provides an opportunity to work at the forefront of data engineering, AI agent assurance, and automation in a regulated environment.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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