AI Data Engineer

Veeva Systems(1 month ago)

RemoteFull TimeSenior$85,000 - $225,000Engineering

About this role

This role focuses on ensuring the reliability, accuracy, and safety of Veeva AI Agents by designing and executing rigorous evaluation and validation methodologies. The position involves building and maintaining automated evaluation frameworks and high-fidelity datasets to test real-world and edge-case scenarios. It plays a key part in monitoring and analyzing AI agent performance and behavior over time. The role also requires clear communication of findings and risks to engineering and product stakeholders within a mission-driven, life sciences–focused organization.

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Required Skills

Evaluation Strategy
Test Planning
LLM Evaluation
Data Quality
Dataset Curation
Prompt Engineering
Bias Detection
Safety Assessment
Automation Pipelines
Root Cause Analysis

+9 more

Qualifications

Bachelor's degree in Data Science
Bachelor's degree in Machine Learning
Bachelor's degree in Computer Science

About Veeva Systems

veeva.com

New 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.