Consultant - AI Agent Implementation

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](https://medium.com/@peter.gassner/public-benefit-corporation-pbc-486e1e9508a6) (PBC), legally bound to balancing the interests of customers, employees, society, and investors. Join us in [transforming the life sciences industry](https://www.youtube.com/watch?v=TaPSP8cCSKY&ab_channel=Forbes), 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)