AI ML Project Architect
Q1 Technologies, Inc • Sacramento, California, United States • Posted May 11, 2026
About the Role
AI ML Project Architect
• Design and architect scalable AI/ML solutions tailored for edge deployment.
• Lead the full solution lifecycle from proof-of-concept to production.
• Guide cross-functional teams on the integration of AI/ML models into edge devices (IoT, gateways, embedded platforms).
• Collaborate with stakeholders to translate business needs into technical specifications.
• Ensure architectural integrity, security, and performance.
• Establish best practices for model training, inference pipelines, and MLOps.
• Evaluate and select hardware and software tools (e.g., NVIDIA Jetson, Coral, OpenVINO, TensorRT).
• Oversee data pipelines for real-time and offline data processing.
• Design and architect scalable AI/ML solutions tailored for edge deployment.
• Lead the full solution lifecycle from proof-of-concept to production.
• Guide cross-functional teams on the integration of AI/ML models into edge devices (IoT, gateways, embedded platforms).
• Collaborate with stakeholders to translate business needs into technical specifications.
• Ensure architectural integrity, security, and performance.
• Establish best practices for model training, inference pipelines, and MLOps.
• Evaluate and select hardware and software tools (e.g., NVIDIA Jetson, Coral, OpenVINO, TensorRT).
• Oversee data pipelines for real-time and offline data processing.