Veeva Systems
Technical Curriculum Developer - AI Agents - Remote
$100K–$175K
North Carolina - Raleigh · Remote · Full-time · Posted Aug 7, 2026
- Experience
- 3+ years building technical training, curriculum, or enablement content. Hands-on AI agent-building experience is required; no duration specified.
- Education
- Bachelor's degree in Computer Science, Engineering, Instructional Design, or equivalent practical experience.
About the job
Develop technical training and hands-on labs for Veeva’s platform and Agentic AI capabilities, while building AI agent demos and maintaining coding-intensive courses.
What you'll do
- Design training, labs, and reference implementations that teach learners to build, configure, and deploy AI agents.
- Own advanced technical courses and maintain lab environments, sample code, sandbox data, and exercises.
- Collaborate with Product, Engineering, and customer-facing teams to shape curriculum around platform features and learner needs.
What they ask for
- Bachelor's degree in Computer Science, Engineering, Instructional Design, or equivalent practical experience.
- Hands-on experience building, configuring, and deploying AI agents, with practical understanding of core agent concepts and troubleshooting.
- Ability to read Java code and understand architecture, strong REST API knowledge, and experience with Git, Postman, or similar tools.
- 3+ years building technical training, curriculum, or enablement content for technical audiences; experience designing hands-on labs and courses.
Nice to have
- Experience with the Model Context Protocol (MCP) or comparable tool-integration standards.
- Familiarity with LMS platforms, AI/authoring tools, and Veeva Vault or complex enterprise SaaS platforms.
Pay
USD 100,000 - $175,000 base salary
Tools
LangChain, LangGraph, Anthropic's Claude Agent SDK/Claude Code, Java, REST APIs, Git, Postman, Model Context Protocol (MCP)
AI focus
Build AI agent demos, reference implementations, and hands-on training for agent development and deployment; cover tool/function calling, RAG, context and memory management, orchestration, prompt engineering, evaluation, and integrations.
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