Lead AI Platform Engineer - Remote

Alliant Insurance Services; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Alliant Insurance Services is seeking an experienced Platform Architect to lead a major AI domain, translating ambiguous needs into architecture and staged delivery. Responsibilities include ownership of platform health, scalable services, and model orchestration, with mentorship and cross-team collaboration.

The role requires hands-on design of durable, observable production services, and guiding adoption across multiple products while ensuring security and cost efficiency.

Qualifications

• Bachelor's Degree in Computer Science, Software Engineering, or related field.
• 5+ years of software engineering experience with ownership of production services.
• Experience building LLM-powered applications or AI infrastructure.

Responsibilities

• Owns architecture, implementation, and operational health for a platform domain.
• Designs services and interfaces for long-running tasks with durability and failure recovery.
• Establishes reusable context packaging patterns across environments.
• Builds model routing and orchestration with quality, latency, and cost measurements.
• Leads technical discovery with product teams and prioritizes platform work.
• Defines domain testing, tracing, and readiness practices; resolves incidents.
• Produces architecture docs and migration guidance for adoption at scale.
• Mentors engineers and contributes to technical planning.

Skills

TypeScript

Python

Production services

APIs

Distributed systems

Asynchronous processing

Observability

Cloud deployment

Secure system design

LLM features

Technical leadership

Education

Bachelor's degree in Computer Science or related

Job description

Alliant Insurance Services is seeking an experienced Platform Architect to lead a major AI domain, translating ambiguous needs into architecture and staged delivery. Responsibilities include ownership of platform health, scalable services, and model orchestration, with mentorship and cross-team collaboration.

The role requires hands-on design of durable, observable production services, and guiding adoption across multiple products while ensuring security and cost efficiency.