This role pays less than
89%
of similar roles. Most pay
$165,812–$254,750
— the shaded band above.
At the midpoint, this role pays about
$138k
versus about
$210k
for comparable roles.
Based on 238 similar postings.
Employer
About Veeva Systems
Veeva Systems is a cloud software company serving the global life sciences industry, providing CRM, clinical, regulatory, quality, and data applications used by pharmaceutical and biotech companies.
Veeva Systems currently has
93 open roles
on FindRole.
Listed pay typically runs
$80,000–$165,000
across 82 roles with salary data.
Technical Curriculum Developer - AI Agents - Remote joins the team to design and build training programs that teach customers, partners, and internal staff how to use, configure, and integrate platform capabilities, specifically focusing on Agentic AI features. The role involves creating hands-on lab environments, building working AI agent demos from scratch, and maintaining advanced technical courses requiring Java and REST API fluency. You will translate complex challenges like tool calling, context management, prompt design, and orchestration into structured learning experiences while staying current on the agentic AI landscape. Required skills include experience with frameworks such as LangChain or LangGraph, knowledge of RAG, and familiarity with Model Context Protocol. The position requires technical proficiency in Git and Postman to solve real-world implementation problems for users navigating complex enterprise software architectures and advanced automation tools.
Design and build hands-on training and lab environments for building, configuring, and deploying custom AI agents.
Build working AI agent demos and reference implementations from scratch to anchor training content and live demonstrations.
Translate complex technical challenges like tool calling, context management, and prompt design into sequenced learning experiences.
Own and maintain advanced technical courses involving Java coding and REST API integration.
Create hands-on lab environments with sample code and sandbox data that mirror real implementation scenarios.
Partner with Product and Engineering teams to integrate new features into the training curriculum during early development phases.
Identify customer pain points by collaborating with Professional Services, Managed Services, and Customer Support teams.
What we're looking for
Bachelor's degree in Computer Science, Engineering, Instructional Design, or equivalent practical experience.
Hands-on experience building, configuring, and deploying AI agents using frameworks like LangChain, LangGraph, or similar SDKs.
Practical understanding of core agent concepts including RAG, tool calling, context management, and prompt engineering.
Ability to read and understand Java code architecture and a strong foundational knowledge of REST APIs.
3+ years of experience building technical training, curriculum, or enablement content for a technical audience.
Experience designing hands-on labs, sandbox exercises, and high-quality instructor-led courses or eLearning.
Proficiency with Git, Postman, or similar API tooling.
Experience with Model Context Protocol (MCP) or comparable tool-integration standards (preferred); familiarity with LMS platforms and AI/authoring tools (preferred).