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Guardian Life

Principal AI Architect

Guardian Life

Principal AI Architect Engineer for Guardian Life designing AI solutions at enterprise scale. Leading technical architecture and deploying AI applications in a collaborative technology culture.

Posted 6/29/2026full-timeNew York City • New Jersey, New York • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying AI/ML-driven applications, with a strong focus on system architecture, scalability, and security. Proven ability to mentor engineers and lead technical initiatives in a hands-on capacity.

Highest-signal resume keywords
AI/ML Solutions ExpertiseSystem Design and ArchitecturePython ProficiencyCloud Platforms (AWS) FamiliarityTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software DevelopmentArchitecture DesignAI/ML Application DevelopmentProduction-Quality Code WritingScalability StandardsReliability StandardsSecurity Standards
Soft Skills
MentoringTechnical Leadership
Tools & Technologies
AI FrameworksCloud Platforms
Industry Keywords
End-to-End AI SystemsBuild vs. Buy DecisionsLarge-Scale Systems

Tech Stack

Tools & technologies
AWSCloudPython

About the role

Key responsibilities & impact
  • Design and own architecture for end-to-end AI systems
  • Build and deploy AI/ML-driven applications
  • Serve as technical lead on forward-deployed initiatives
  • Act as a hands-on builder and write production-quality code
  • Evaluate build vs. buy decisions for AI technologies
  • Ensure AI solutions meet scalability, reliability, security standards
  • Mentor engineers and conduct architecture reviews

Requirements

What you’ll need
  • 8+ years in software development and architecture
  • Expertise in AI/ML solutions and large-scale systems
  • System design and architecture skills
  • Proficient in Python and AI frameworks
  • Familiarity with cloud platforms (AWS)

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible working hours
  • Paid time off
  • Remote work options