Senior AI Platform Engineer – Core Infra & Resilience

ARCHER; Seattle (WA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Health Care Coverage

On-Site Health And Wellness Centers

Retirement Savings Plan

Backup Childcare

Tuition Reimbursement

Mental Health Support

Financial Coaching

Job summary

ARCHER seeks a senior software engineer to architect and build reliable, scalable AI infrastructure and reusable platform services that unify model training and inference across hybrid-cloud and Neo-cloud environments.

The role requires hands-on leadership in observability, resilience, security, and cost optimization, plus mentoring of engineers and collaboration with product and engineering partners. A decade of experience and strong Python skills are essential.

Qualifications

• 10+ years of applied software engineering experience.
• Strong production-grade Python skills and hands-on system design.
• Experience leading platform work with product and engineering partners.

Responsibilities

• Architect reliable, scalable AI infrastructure and reusable platform services.
• Unify model training and inference across hybrid-cloud and Neo-cloud environments.
• Establish observability, resilience, security, and cost optimization; support incidents.
• Mentor engineers and collaborate with product and engineering partners.

Skills

Python

AI/ML Platform Engineering

Cloud Platforms

Distributed Systems

System Design

Production Software Development

Observability

Site Reliability Engineering

Incident Response

Root-Cause Analysis

Automated Testing

Infrastructure Management

Generative AI

AI Agents

Security Controls

Technical Leadership

Job description

ARCHER seeks a senior software engineer to architect and build reliable, scalable AI infrastructure and reusable platform services that unify model training and inference across hybrid-cloud and Neo-cloud environments.

The role requires hands-on leadership in observability, resilience, security, and cost optimization, plus mentoring of engineers and collaboration with product and engineering partners. A decade of experience and strong Python skills are essential.