Solution Architect - AI Solution

Veeva

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China - Shanghai on site Until 8/21/2026 H-1B sponsor history First posted April 22, 2026 Last posted April 22, 2026
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.

What You'll Do

  • Lead AI-enabled SaaS implementation and deployment at customer sites
  • Conduct business analysis to identify core business challenges, pain points, and strategic goals
  • Perform product configuration, customization, and AI feature integration based on customer requirements
  • Design and implement agent integrations with customer’s existing agent
  • Develop AI-driven automation workflows using LLM, RAG, and AI Agent technologies
  • Provide technical support, troubleshooting, and knowledge transfer to customer teams

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or related field
  • 3+ years of software development or technical implementation experience
  • Proven experience in native enterprise AI project development at industry-leading technology firms
  • Proficient in at least one programming language (Python/Java/JavaScript)
  • Experience with LLM application development, RAG, Prompt Engineering, or AI Agent
  • Familiar with API integration, RESTful APIs, and system integration patterns
  • Strong communication skills and ability to work at customer sites

Nice to Have

  • Life Science/Pharma industry experience
  • SaaS product implementation and customer delivery experience
  • Experience with low-code/no-code enterprise AI platforms
  • Cloud platform experience (AWS/Azure/Alibaba Cloud)
#LI-Architect

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
 
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
About this role

Summary

Lead AI SaaS implementations, develop integrations, and support customer AI solutions.

Job title

Solution Architect - AI Solution

Experience level

3+ years

Industry

software

Location requirements

based in Shanghai, China, remote work not specified

Salary

Not specified

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

PythonJavaJavaScriptLLMRAGAPI

Preferred skills

life sciencepharmaSaaS implementationlow-codecloud (AWS/Azure/Alibaba)

Specializations

AIsystem integrationcloud platformsAPIenterprise SaaS
Locations

Structured locations inferred from the posting.

Shanghai, China

On-site City
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