Job Description
We are building the infrastructure for the future. As part of the Project 2026 initiative, we are seeking a visionary Senior AI Infrastructure Architect to design the backbone of our next-generation digital ecosystem. This role requires a deep understanding of scalable computing, artificial intelligence, and the emerging paradigms of quantum-ready software.
If you are passionate about solving complex engineering challenges and shaping the technological landscape of 2026 and beyond, we want to hear from you.
Key Responsibilities:
• Design and implement a resilient, high-performance AI infrastructure capable of supporting next-gen applications.
• Lead architectural decisions for the migration to edge computing environments and distributed systems.
• Optimize deep learning models for real-time inference and large-scale data processing.
• Collaborate with product teams to translate business requirements into technical roadmaps.
• Ensure the security, compliance, and scalability of all cloud and on-premise assets.
• Mentor junior engineers and foster a culture of technical excellence and innovation.
Qualifications:
• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
• 7+ years of experience in systems architecture, AI engineering, or a related technical leadership role.
• Expert proficiency in Python, Rust, and C++.
• Deep knowledge of machine learning frameworks (TensorFlow, PyTorch) and MLOps practices.
• Experience with Kubernetes, Docker, and cloud platforms (AWS, GCP, or Azure).
• Strong understanding of neural networks, transformer architectures, and quantum computing concepts.
Responsibilities
- Design and implement a resilient, high-performance AI infrastructure capable of supporting next-gen applications.
- Lead architectural decisions for the migration to edge computing environments and distributed systems.
- Optimize deep learning models for real-time inference and large-scale data processing.
- Collaborate with product teams to translate business requirements into technical roadmaps.
- Ensure the security, compliance, and scalability of all cloud and on-premise assets.
- Mentor junior engineers and foster a culture of technical excellence and innovation.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
- 7+ years of experience in systems architecture, AI engineering, or a related technical leadership role.
- Expert proficiency in Python, Rust, and C++.
- Deep knowledge of machine learning frameworks (TensorFlow, PyTorch) and MLOps practices.
- Experience with Kubernetes, Docker, and cloud platforms (AWS, GCP, or Azure).
- Strong understanding of neural networks, transformer architectures, and quantum computing concepts.