Technical Curriculum Developer - AI Agents

Summary

Veeva Systems is a mission-driven SaaS company that provides industry cloud solutions to life sciences organizations. The Technical Curriculum Developer will create advanced technical training, hands-on labs, and AI agent demonstrations while teaching customers, partners, and employees how to build, configure, deploy, and integrate agentic AI solutions. The role also owns technical courses involving Java and REST APIs and collaborates with Product, Engineering, and customer-facing teams.

Responsibilities

• 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)
• 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
• 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

Skills

• 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
• 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 with Git, Postman, or similar API tooling
• 3+ years building technical training, curriculum, or enablement content for a technical audience (developers, implementation consultants, technical admins, or power users)
• Experience designing hands-on labs, sandbox exercises, and high quality instructor-led courses and/or eLearning
• Self-directed and comfortable with ambiguity — this role will often be defining the curriculum for capabilities that are still being built
• Strong writing and technical communication skills; able to explain complex technical concepts clearly to varied audiences (technical and semi-technical learners)
• Strong presentation and facilitation skills; comfortable leading live demos and workshops
• Experience with the Model Context Protocol (MCP) or comparable tool-integration standards is a strong plus
• Familiarity with LMS platforms and AI/authoring tools (e.g., Articulate, Camtasia, Arcade, Vyond, Gemini, Claude or similar) is a plus
• Experience with Veeva Vault, or ability to quickly ramp up on, complex enterprise SaaS platforms — including how Veeva Vault is configured and implemented by customers

Qualifications

Must Haves

• 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
• 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 with Git, Postman, or similar API tooling
• 3+ years building technical training, curriculum, or enablement content for a technical audience (developers, implementation consultants, technical admins, or power users)
• Experience designing hands-on labs, sandbox exercises, and high quality instructor-led courses and/or eLearning
• Self-directed and comfortable with ambiguity — this role will often be defining the curriculum for capabilities that are still being built
• Strong writing and technical communication skills; able to explain complex technical concepts clearly to varied audiences (technical and semi-technical learners)
• Strong presentation and facilitation skills; comfortable leading live demos and workshops

Nice to Haves

• Experience with the Model Context Protocol (MCP) or comparable tool-integration standards is a strong plus
• Familiarity with LMS platforms and AI/authoring tools (e.g., Articulate, Camtasia, Arcade, Vyond, Gemini, Claude or similar) is a plus
• Experience with Veeva Vault, or ability to quickly ramp up on, complex enterprise SaaS platforms — including how Veeva Vault is configured and implemented by customers

Benefits

• As a Work Anywhere company, we support your flexibility to work from home or in the office
• Medical, dental, vision, and basic life insurance
• Flexible PTO and company paid holidays
• Retirement programs
• 1% charitable giving program