AI Data Engineer
Veeva Systems(1 month ago)
About this role
This role focuses on ensuring the reliability, accuracy, and safety of Veeva’s AI Agents used in the life sciences industry. The position owns the design and execution of robust evaluation and validation methodologies for agentic LLM systems. It involves building high-fidelity datasets and automated evaluation frameworks to monitor performance and mitigate risks at scale. The role operates within Veeva’s mission-driven, Work Anywhere environment across Canada or the US.
Required Skills
- Evaluation Strategy
- Test Planning
- LLM Evaluation
- Data Curation
- Dataset Design
- Bias Detection
- Safety Assessment
- Prompt Engineering
- Automation Pipelines
- Root Cause Analysis
+10 more
Qualifications
- Bachelor's degree in Data Science
- Bachelor's degree in Machine Learning
- Bachelor's degree in Computer Science
About Veeva Systems
veeva.comNew Relic is a cloud-based observability platform that helps engineering teams collect, store, and analyze telemetry — metrics, traces, logs, and events — from applications, infrastructure, and end‑user experience. It offers APM, distributed tracing, infrastructure monitoring, log management, real‑user and synthetic monitoring, dashboards, alerts, and many integrations to troubleshoot performance and reliability issues. The platform emphasizes a unified telemetry model and powerful query/visualization tools, plus AI/ML‑driven insights to speed root‑cause analysis and incident response. Delivered as SaaS with lightweight agents and APIs, New Relic is used by developers, SREs, and ops teams for full‑stack visibility.
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