Solution Architect - AI Solution
Veeva Systems6 months ago
Shanghai, ChinaMid Level
Responsibilities
- Lead AI-enabled SaaS implementation and deployment at customer sites.
- Analyze business challenges, pain points, and strategic goals.
- Configure and customize products and integrate AI features based on customer requirements.
- Design and implement agent integrations with customers’ existing agents.
- 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 a related field.
- At least three years of software development or technical implementation experience.
- Proven experience developing native enterprise AI projects at leading technology firms.
- Proficiency in at least one of Python, Java, or JavaScript.
- Experience with LLM application development, RAG, Prompt Engineering, or AI Agent technologies.
- Familiarity with API integration, RESTful APIs, and system integration patterns.
- Strong communication skills and willingness to work at customer sites.
- Life sciences or pharmaceutical industry experience is preferred.
- SaaS product implementation and customer delivery experience is preferred.
- Experience with low-code/no-code enterprise AI platforms is preferred.
- AWS, Azure, or Alibaba Cloud experience is preferred.
Tech Stack
Categories
Solutions Engineering
About Veeva Systems
Veeva Systems builds cloud software and data products for life sciences, including Veeva CRM and the Veeva Vault suite for clinical, regulatory, and quality operations. It sells subscriptions and services to biopharma and related companies to manage R&D, compliance, and commercial workflows. Founded in 2007 and headquartered in Pleasanton, California, Veeva is publicly traded on the NYSE and has operated as a Public Benefit Corporation since 2021.