Senior AI Solution Architect

📋 Description

• Design scalable architectures for ML platforms, AI services, and data processing pipelines.
• Define system-level architectures that integrate ML models into distributed production systems.
• Ensure high availability, scalability, and performance of ML-powered applications.
• Architect end-to-end ML pipelines including data ingestion, feature engineering, training workflows, model serving, and monitoring.
• Design ML infrastructure capable of supporting experimentation, training, and large-scale inference.
• Guide teams in implementing modern MLOps practices across projects.

🎯 Requirements

• 10+ years in software engineering, distributed systems, or backend architecture.
• 5+ years designing ML/data-driven systems.
• Strong experience architecting large-scale, production software systems.
• Deep understanding of ML system architecture, model deployment patterns, and lifecycle management.
• Programming in Python, Java, C#, or similar languages; CS/AI/ML degree.
• Cloud design experience (AWS, Azure, or GCP).

🎁 Benefits

• Competitive compensation with benefits, paid vacation, and sick leave.
• Global, diverse engineering team tackling industry challenges.
• Ultra-flexible working conditions with home-office allowance and optional desk.
• An enjoyable startup-like environment with growth opportunities.
• Flexible, remote-first working hours focused on outcomes.