Job Description
We are looking for a visionary Lead AI Infrastructure Architect to architect the backbone of our operations leading into 2026. In this pivotal role, you will bridge the gap between theoretical AI breakthroughs and scalable, production-ready infrastructure. You will lead a team of engineers in deploying next-generation machine learning models, ensuring our systems are resilient, sustainable, and ready for the future of data processing.
Why Join Us?
- Shape the technological landscape of 2026.
- Work with cutting-edge AI and Quantum computing technologies.
- Competitive equity and benefits package.
If you are passionate about building the future of technology, we want to hear from you.
Responsibilities
- Design and implement scalable cloud infrastructure (AWS/Azure) optimized for high-performance AI workloads.
- Lead the architectural strategy for transitioning legacy systems to 2026-compatible quantum-ready architectures.
- Collaborate with data scientists to optimize model inference pipelines and reduce latency.
- Establish best practices for cybersecurity, data privacy, and ethical AI usage.
- Manage a team of 5+ senior engineers and mentor junior talent in advanced cloud technologies.
- Oversee budgeting, resource allocation, and technical roadmaps for infrastructure projects.
Qualifications
- 10+ years of experience in Software Engineering and Infrastructure Architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and Kubernetes.
- Proven track record of deploying large-scale AI models in production environments.
- Strong understanding of distributed systems, microservices, and containerization (Docker).
- Experience with quantum computing frameworks or interest in post-silicon architectures.
- Excellent leadership and communication skills with the ability to translate technical concepts to stakeholders.
- Master’s degree in Computer Science, Engineering, or a related field (PhD preferred).