GrepJob
Anaplan

AI Principal Architect

Anaplan
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about 3 hours ago
New York, NY, USA
Staff+
H1B Sponsor

Base Salary

$221k - $229k/yr

Responsibilities

  • Own and publish the reference architecture for Anaplan's internal AI.
  • Architect end-to-end internal enterprise AI solutions.
  • Set and enforce AI engineering standards and coding practices.
  • Lead technical design reviews and guide implementation decisions.
  • Evaluate and onboard new enterprise AI platforms and tools.
  • Design the LLM abstraction layer and multi-model strategy.
  • Manage technical debt and system observability for AI systems.
  • Define and maintain technical evaluation criteria for AI projects.
  • Ensure all internal AI initiatives pass necessary reviews.
  • Translate approved use cases into technical specifications.
  • Define enterprise AI data layer and integration architecture.
  • Integrate with ServiceNow AI Control Tower for tracking.
  • Implement frameworks for explainability and auditability.
  • Partner with Finance to define and measure AI-driven ROI.
  • Establish lifecycle management for AI agents.
  • Oversee technical deployment and operationalization of AI solutions.
  • Drive adoption of AI tools and lead training sessions.
  • Build engineering dashboards for tracking performance and ROI.
  • Research and prototype emerging AI techniques.
  • Design and lead proof-of-concept pilots for internal use cases.
  • Build and maintain an AI innovation pipeline.
  • Collaborate with cross-functional teams to identify AI opportunities.

Requirements

  • 7+ years of software or AI/ML engineering experience.
  • At least 3 years in a technical lead or principal-level role.
  • Deep expertise across the AI/ML stack, including LLMs and MLOps.
  • Proven experience architecting and deploying enterprise-scale AI systems.
  • Proficiency in Python and enterprise cloud AI platforms.
  • Hands-on experience with Google Workspace AI and Gemini Enterprise.
  • Ability to provide technical leadership without formal authority.
  • Strong business acumen and communication skills.
  • Experience in enterprise SaaS environments with complex requirements.

Tech Stack

Python

Categories

AI & MLData Science