Drimva

Veeva Systems

Technical Curriculum Developer - AI Agents - Remote

$100K–$175K

Massachusetts - Boston · Remote · Full-time · Posted Aug 7, 2026

Experience
3+ years building technical training, curriculum, or enablement content for a technical audience.
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, and build AI agent demos and reference implementations.

What you'll do

  • Design and maintain AI agent training, advanced technical courses, hands-on labs, and sample code.
  • Build agent demos and lab exercises, translating agent-building challenges into learning experiences.
  • Partner with Product, Engineering, and customer-facing teams to develop courseware and address 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; practical understanding of core agent concepts and real-world troubleshooting.
  • Ability to understand Java code and architecture, foundational knowledge of REST APIs, and experience with Git, Postman, or similar API tooling.
  • 3+ years building technical training, curriculum, or enablement content for a technical audience; experience designing hands-on labs and courses.

Nice to have

  • Experience with MCP or comparable tool-integration standards.
  • Familiarity with LMS platforms and AI/authoring tools, or experience with 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 agents, demos, reference implementations, and hands-on training for agent configuration and deployment, covering tool/function calling, RAG, context and memory management, orchestration, prompt engineering, evaluation, and guardrails.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)