Solution Architect - AI Solution

BeijingRemoteFull-time

AI Summary

Leads AI-enabled SaaS implementation and deployment at customer sites, integrating Veeva's Life Science cloud solutions with AI capabilities, and provides technical support and knowledge transfer to customer teams.

About this role

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)

Skills

AI AgentAlibaba CloudAPI IntegrationAWSAzureJavaJavaScriptLLM Application DevelopmentLow-code/no-code Enterprise AI PlatformsPrompt EngineeringPythonRAGRESTful APIsSystem Integration