Drimva

Appian

Principal Applied AI Engineer

$200K–$350K

United States +1 · Principal · Full-time · Posted Sep 15, 2026

Location
United States
Appian Corporation - US
Experience
10+ years with a BS, or 8+ years with an MS in Computer Science or a related field.
Education
Bachelor of Science in Computer Science or a related technical/analytical discipline; equivalent experience is not accepted.

About the job

Leads the design, engineering, and operation of production LLM systems and AI-powered enterprise automation, while setting technical direction and mentoring engineers.

What you'll do

  • Architect, build, optimize, and ensure the reliability and scale of production LLM systems.
  • Lead technical design and delivery, modernization, code quality, and engineering practices across complex AI applications.
  • Coach engineers and influence technical decisions and documentation beyond the immediate team.

What they ask for

  • Bachelor of Science in Computer Science or a related technical/analytical discipline; equivalent experience is not accepted.
  • 10+ years of relevant software development experience with a BS, or 8+ years with an MS in Computer Science or a related field.
  • Deep hands-on experience designing and operating production LLM systems, including code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability.
  • Experience with AI coding assistants and high-volume, mission-critical production services; strong distributed-systems, API, security, reliability, and cross-team influence skills.

Nice to have

  • Experience with compilers, program analysis, formal or executable specifications, or legacy modernization.
  • Experience with Salesforce or ServiceNow.

Pay

$200,000 — $350,000 USD base salary

Tools

LLM systems, AI coding assistants, Salesforce, ServiceNow

AI focus

Design and operate production LLM systems for enterprise automation, spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability; use AI coding tools in production engineering.

Model-written summary · the original posting is authoritative

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