Principal AI Platform Engineer - Enterprise SaaS

Veeva Systems, Inc.

Kansas City (MO)

Hybrid

USD 150,000 - 300,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision insurance
Flexible PTO & holidays
Retirement programs
1% charitable giving program

Job summary

Veeva Systems, Inc. seeks a Principal Software Engineer to join a new AI-first product team. You’ll be a founding member shaping the codebase and engineering org as a leader in AI-driven safety, regulatory, and clinical development platform for life sciences.

You will own features end-to-end, mentor engineers, and help build a scalable, enterprise SaaS platform with strong emphasis on engineering discipline and AI-assisted practices.

Qualifications

  • 12+ years of software development experience, production Python.
  • Experience building high-scale Enterprise SaaS cloud apps.
  • Track record architecting high-volume products.
  • Hands-on with Python, Git, FastAPI, Pydantic.
  • Experience mentoring engineering teams.
  • Excellent English communication.

Responsibilities

  • Full Feature Ownership: design, develop, deploy, and maintain features; daily coding with AI assistance.
  • Drive Solutions: collaborate with PM and Dev on technical design to deliver quality code.
  • Rapid Problem Solving: analyze complex problems to accelerate robust solutions.
  • Develop Best Practices: promote coding standards and AI-assisted engineering.
  • Expert Code Review: provide reviews for engineers at all levels.
  • Strategic Mentorship: grow engineering talent through structured mentorship.

Skills

Leadership
Mentorship
Communication skills
Startup mindset
Problem solving

Tools

Python
Git
FastAPI
Pydantic

Job description

Veeva Systems, Inc. seeks a Principal Software Engineer to join a new AI-first product team. You’ll be a founding member shaping the codebase and engineering org as a leader in AI-driven safety, regulatory, and clinical development platform for life sciences.

You will own features end-to-end, mentor engineers, and help build a scalable, enterprise SaaS platform with strong emphasis on engineering discipline and AI-assisted practices.

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