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Consultant - AI Agent Implementation

veeva · On-site

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Last seen by MeritLog September 12, 2026Source: LeverSource version: lever-postings-v1

MeritLog read this listing from veeva's Lever job board and last checked it on September 12, 2026.

Source: the employer's Lever job board. Open the original listing for current details.

Job details

Work model
On-site
Salary
Not listed by source
Location
China - Shanghai
Company website
www.veeva.com

Hiring context

How this role compares at veeva

veeva has 908 live roles in MeritLog’s catalog across 11 job families, and 283 of them are in marketing. 0 of those listings publish a pay range, a disclosure rate of 0%.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

Job description

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.   At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.   Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role The Solution Architect serves as the “last mile” technical consultant for Veeva’s SaaS product implementations in the AI era. This role bridges product and customer, responsible for integrating Veeva’s Life Science cloud SaaS solutions with AI capabilities, completing customized development, system integration, and delivery at customer sites.   We are seeking candidates with extensive experience in native enterprise AI projects developed for leading collaborative offices or hyperscale cloud platforms. Proven expertise in deploying large-scale AI solutions within complex business ecosystems is highly preferred.

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