Technical Curriculum Developer - AI Agents

Job Title: Technical Curriculum Developer - AI AgentsJob Location: Raleigh, NC, USJob Location Type: RemoteJob Contract Type: Full-timeJob Seniority Level: 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.As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.The RoleThis is not a traditional curriculum developer role - please do not apply if you have dabbled with AI agents. In this unique role, we are accepting applications for two different personas: The AI Solutions Engineer turned Mentor/Coach - you have an engineering/development background and have become the AI/Technical Trainer to teach learners how AI agents to build and configure agents and AI best practices. The Technical Curriculum Developer turned AI Builder - you have a passion for teaching others deep technical topics, and have the curiosity and drive to learn and vibe code agentic solutions/integrations. If you are one of these profiles and have proven, demonstrable experience - please apply now!You'll build the training that teaches customers, partners and Veevans how to use, configure, and implement and integrate our platform — including its Agentic AI capabilities — and you'll build the AI agents that power our demos and hands-on labs.You should be able to walk into an unfamiliar product area, understand its architecture and APIs, and within days be building working agent demos and lab exercises around it.You'll also own and evolve our most technical training courses, the coding-intensive classes that require real Java and REST API fluency, bringing rigor and firsthand credibility that generalist curriculum developers can't.What You'll Do AI Agent Curriculum & Enablement Design and build hands-on training and lab environments that teach technical learners how to build, configure, and deploy custom AI agents on our platform Build working AI agent demos and reference implementations from scratch to anchor training content and live demonstrations Translate the practical challenges learners face when configuring or implementing Agentic AI — tool/function calling, context management, prompt design, error handling, guardrails, orchestration — into clear, sequenced learning experiences Stay current with the agentic AI landscape (frameworks, MCP-style tool integrations, agent orchestration patterns) Technical Curriculum Development Own and maintain our advanced technical courses, including classes that require coding in Java and working with REST APIs Build and maintain hands-on lab environments, sample code, sandbox data, and technical exercises that mirror real implementation scenarios Partner with Product and Engineering to get early access to new features and build courseware alongside General release Apply instructional design best practices (learning objectives, scaffolding, assessment design, adult learning principles) to technical content without watering down technical accuracy Cross-Functional Collaboration Work closely with Product Management and Engineering to understand agent architecture, APIs, and configuration options as they're being built Partner with Professional Services, Managed Services and Customer Support to identify pain points and close those gaps with curriculum Requirements Bachelor's degree in Computer Science, Engineering, Instructional Design, or equivalent practical experience Hands-on experience building, configuring, and deploying AI agents (e.g., using frameworks/SDKs such as LangChain, LangGraph, Anthropic's Claude Agent SDK/Claude Code, or similar) Practical understanding of core agent concepts: tool/function calling, retrieval-augmented generation (RAG), context/memory management, multi-agent orchestration, prompt engineering, and evaluation Experience with the Model Context Protocol (MCP) or comparable tool-integration standards is a strong plus First-hand experience troubleshooting the real problems agent builders hit — flaky tool calls, context overflow, hallucinated actions, permission/scoping issues — so you can teach learners to anticipate and solve them, not just follow a script Ability to read and understand Java code architecture and classes for minor development or debugging, alongside a strong foundational knowledge of REST APIs Experience wit