GCP AI Architect

Job Summary

Seeking a distinguished GCP AI Architect, the full-time position will design fault-tolerant, distributed systems on Google Cloud, integrating AI into engineering practices while ensuring project compliance and innovation.

Key responsibilities

• Architect highly resilient cloud-native systems using SRE principles, defining strategies for Kubernetes orchestration and global load balancing
• Orchestrate MLOps lifecycles, managing model pipelines and integrating advanced AI models for low-latency applications
• Implement AI safety governance frameworks to ensure responsible AI deployment and data sovereignty within GCP

Required qualifications

• Bachelor's degree in Computer Science, Computational Linguistics, Mathematics, or equivalent experience
• 5+ years of software engineering experience, proficient in Python, Go, Java, or C++
• 2+ years of experience designing and deploying LLM-backed applications in production environments
• Mastery of modern frameworks for conversational agents and distributed systems design
• Solid understanding of AI capabilities and ethical considerations in AI deployment