Principal AI-Native Systems Architect

Arlo; New York (NY); On-site; USD 250,000 - 280,000; Full time

Job summary

Arlo is seeking a Principal Software Engineer in New York to help build AI-native insurance systems. The role involves designing full-stack products, developing internal platforms, and building member-facing applications. Candidates should have experience in scaling complex software systems and be able to simplify organizational problems into efficient solutions.

Successful candidates will influence organizational infrastructure while working closely with other teams. Compensation ranges from $250,000 to $280,000 base plus equity.

Qualifications

• Deep experience designing and scaling complex software systems.
• Exceptional judgment across product, engineering, and operational tradeoffs.
• A track record of leading highly ambiguous, cross-functional initiatives.
• Strong intuition for where AI can fundamentally change workflows.
• The ability to simplify complex organizational problems into scalable systems.

Responsibilities

• Design and ship full-stack products across the insurance lifecycle.
• Build AI-native underwriting systems.
• Create claims tooling for automated workflows.
• Develop internal operational platforms.
• Build member-facing products that utilize AI.
• Work directly with operational teams to identify bottlenecks.
• Own projects end-to-end across various systems.

Skills

Designing and scaling complex software systems

Exceptional judgment across product, engineering, and operational tradeoffs

Leading highly ambiguous, cross-functional initiatives

Strong intuition for AI in workflows

Simplifying complex organizational problems

Job description

Arlo is seeking a Principal Software Engineer in New York to help build AI-native insurance systems. The role involves designing full-stack products, developing internal platforms, and building member-facing applications. Candidates should have experience in scaling complex software systems and be able to simplify organizational problems into efficient solutions.

Successful candidates will influence organizational infrastructure while working closely with other teams. Compensation ranges from $250,000 to $280,000 base plus equity.