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.
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)
