Lead Engineer - Agentic AI Systems

📋 Description

• Define the enterprise technical strategy, hardware roadmaps, and deployment architectures for
• Establish technical standards for infrastructure reliability, disaster recovery, hardware security
• Lead architectural investigations, capacity planning exercises, and system benchmarking for
• Design scalable model-serving, MLOps, and LLMOps infrastructure that enables AI, machine learning
• Partner with Enterprise IT, Security, cross-functional stakeholders, and hardware vendors to
• Evaluate cloud infrastructure providers, GPU vendors, and edge hardware manufacturers, supporting

🎯 Requirements

• A Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related
• A Master's degree in Computer Science or a related discipline is preferred.
• Demonstrated experience architecting multi-region cloud infrastructures, hybrid edge-cloud
• A strong track record of leading complex engineering initiatives, establishing technical vision
• Deep knowledge of heterogeneous compute environments, including GPU, NPU, and TPU architectures, as
• Proficiency with Python, Kubernetes and containerization technologies, along with major cloud

🎁 Benefits

• Base salary ranging from $122,000 to $214,000 per year, depending on factors such as experience
• Target annual bonus of 20% of annualized base salary, based on company and individual performance.
• Primarily remote work arrangement, with travel to designated company locations or other sites as
• Company 401(k) match.
• Parental leave.
• Access to Employee Assistance Program (EAP) sessions.