Job Description
We are seeking a visionary Senior AI Systems Architect to build the infrastructure that will power the intelligent landscape of 2026 and beyond. In this role, you will design scalable, autonomous, and resilient systems for our next-generation AI agents. You won't just be coding; you will be defining the architectural standards for the future of enterprise intelligence. Join a team that is not just keeping up with the future, but defining it.
Responsibilities
• Architect and implement high-performance AI infrastructure designed for long-term scalability and autonomous operation.
• Lead the design of distributed systems capable of handling petabyte-scale data ingestion and real-time inference.
• Oversee the deployment and optimization of Large Language Models (LLMs) and multi-agent workflows.
• Establish security and compliance protocols for sensitive AI data processing.
• Mentor junior engineers and establish coding standards for future-proof software development.
• Collaborate with cross-functional teams to integrate AI capabilities into core business products.
• Lead the design of distributed systems capable of handling petabyte-scale data ingestion and real-time inference.
• Oversee the deployment and optimization of Large Language Models (LLMs) and multi-agent workflows.
• Establish security and compliance protocols for sensitive AI data processing.
• Mentor junior engineers and establish coding standards for future-proof software development.
• Collaborate with cross-functional teams to integrate AI capabilities into core business products.
Qualifications
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (PhD preferred).
• 8+ years of experience in systems architecture, with at least 3 years focused on AI/ML infrastructure.
• Deep expertise in Python, Go, or Rust, with experience in cloud-native environments (AWS, GCP, or Azure).
• Proven track record of designing fault-tolerant systems and high-availability platforms.
• Strong understanding of machine learning frameworks, containerization (Docker/Kubernetes), and edge computing.
• Exceptional problem-solving skills and a passion for emerging technologies.
• 8+ years of experience in systems architecture, with at least 3 years focused on AI/ML infrastructure.
• Deep expertise in Python, Go, or Rust, with experience in cloud-native environments (AWS, GCP, or Azure).
• Proven track record of designing fault-tolerant systems and high-availability platforms.
• Strong understanding of machine learning frameworks, containerization (Docker/Kubernetes), and edge computing.
• Exceptional problem-solving skills and a passion for emerging technologies.