# Principal ML Platform Engineer at Appian

- Company: Appian
- What the company does: AI automation for critical processes. Appian orchestrates AI agents, systems, and people on an enterprise platform, without replacing your systems. Backed by NEA.
- Company website: https://appian.com/
- Type: Startups (AI role)
- Level: Principal and up
- Location: United States
- Work setup: On-site
- Posted: 2026-09-15
- Apply by: 2026-10-30
- Apply: https://job-boards.greenhouse.io/appian/jobs/8204952
- Page: https://www.1752.vc/careers/jobs/appian-principal-ml-platform-engineer-2/

## About the role

As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration .

## What they're looking for

- Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree)
- Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field)
- Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java , Python , or Go
- Domain Expertise: Deep working knowledge of distributed systems , cloud infrastructure , and the ability to contribute meaningfully at a senior individual contributor level within that space
- Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope
- AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context

Tags: Engineering