AI Platform Infrastructure Architect - Remote

Overview

Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.

In Short

• Architect and implement state-of-the-art AI platform infrastructure, from conception to production deployment
• Drive technical decision-making for platform architecture, scalability, and operational excellence
• Establish best practices for platform development, testing, and deployment workflows
• Design and implement infrastructure for ML model training and serving at scale
• Lead the development of robust data management and versioning systems
• Pioneer innovative solutions for ML infrastructure optimization
• Lead and mentor a team of senior platform engineers
• Foster a culture of technical excellence, innovation, and continuous learning
• Drive cross-functional collaboration with ML engineers, researchers, and product teams
• Champion system reliability, security, and compliance standards

Requirements

• MS or PhD in Computer Science, Engineering, Mathematics, or related field
• 10+ years of experience in Software Engineering, with focus on platform/infrastructure development
• Proven track record of building large-scale distributed systems in production environments
• Strong background in cloud-native technologies and ML infrastructure
• Deep expertise in designing and building scalable distributed systems
• Strong programming skills in Python and proficiency with multiple languages
• Extensive experience with cloud platforms and modern DevOps practices
• Demonstrated expertise in building and optimizing large-scale data processing pipelines
• Strong background in ML infrastructure and deployment systems
• Proven ability to lead and mentor technical teams

Benefits

• 18 Days of Paid Time Off Annually
• Medical, Accidental, and Life Insurance
• Weekly Wellness Sessions
• Monthly Healthcare Allowance