Drimva

Veeva Systems

AI Consultant - Pharmacovigilance/Safety Systems Implementation

$70K–$140K

Massachusetts - Boston · Remote · Full-time · Posted Jul 29, 2026

Experience
3+ years of experience; no alternative stated.
Visa sponsorship
Veeva Systems does not anticipate providing sponsorship for employment visa status (e.g., H-1B, OPT) for this position.

About the job

Advise life sciences customers on implementing, validating, governing, and monitoring AI agents in Veeva Vault Safety and pharmacovigilance workflows.

What you'll do

  • Guide customer AI strategy, governance, validation, testing, and ongoing oversight for Vault Safety workflows.
  • Design monitoring metrics and dashboards, and lead workshops, requirements gathering, solution design, configuration, and training.
  • Lead AI-driven Vault Safety implementations and support customer success throughout the implementation lifecycle.

What they ask for

  • 3+ years of experience in strategic or implementation consulting, helping clients adopt and operationalize AI solutions.
  • Experience consulting or working in a strictly regulated environment where compliance, auditability, and governance are critical.
  • Hands-on experience designing AI governance, agent oversight protocols, and performance metrics or dashboards.
  • Ability to learn complex domains and regulatory frameworks, design software solutions, execute configurations, communicate effectively, and travel up to 50%.

Nice to have

  • Knowledge of drug safety and pharmacovigilance processes and regulations; experience with Oracle Argus, ARISg, or other drug safety applications.
  • Experience with global system implementations, SaaS/Cloud, services delivery or systems implementation; relevant degree or locality to a listed life sciences hub.

Pay

$70,000 - $140,000 USD base salary

Tools

Vault Safety, Oracle Argus, ARISg

AI focus

Help customers adopt AI agents in drug safety workflows, including AI strategy, governance, validation, testing, performance monitoring, and compliant implementation.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)